Pascal Fua, Full Professor (original) (raw)

2025

Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates

ACM SIGGRAPH Conference, Vancouver, Canada, 2025-08-10 - 2025-08-14.

A novel immersive catheter ablation simulator based on individualized 3D MR patients' heart models improves ablation performance of future electrophysiologists

N. Bacha; A. Masi; P. Antiochos; C. Teres; M. Le Bloa et al.

Europace. 2025. DOI : 10.1093/europace/euaf085.098.

Vision-based power line cables and pylons detection for low flying aircraft

J. Gwizdala; D. Oner; S. K. Roy; M. A. Shah; A. Eberhard et al.

MACHINE VISION AND APPLICATIONS. 2025. DOI : 10.1007/s00138-025-01664-1.

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

M. Kozinski; D. Oner; J. Gwizdala; C. Beigelman-Aubry; P. Fua et al.

COMMUNICATIONS MEDICINE. 2025. DOI : 10.1038/s43856-025-00732-x.

A Latent Implicit 3D Shape Model for Multiple Levels of Detail

B. Guillard; M. Habermann; C. Theobalt; P. Fua

46th Annual Conference of the German Association for Pattern Recognition (DAGM GCPR 2024), Munich, Germany, 2024-09-10 - 2024-09-13. p. 37 - 52. DOI : 10.1007/978-3-031-85187-2_3.

Improving Human Pose & Shape Estimation with Explicit and Implicit Priors

A. Davydov / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10577.

MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering

G. Sun; R. Dabral; P. Fua; C. Theobalt; M. Habermann

18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 - 2024-10-04. p. 341 - 361. DOI : 10.1007/978-3-031-72952-2_20.

Deep Active Latent Surfaces for Medical Geometries

P. M. Jensen; U. Wickramasinghe; A. B. Dahl; P. Fua; V. A. Dahl

6 Northern Lights Deep Learning Conference, Tromso, Norway, 2025-01-07 - 2025-01-09.

Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases

J. Bednarik; N. Aigerman; V. G. Kim; S. Chaudhuri; S. Parashar et al.

IEEE transactions on pattern analysis and machine intelligence. 2025. DOI : 10.1109/TPAMI.2025.3538776.

Uncertainty in Modern Deep Learning

N. Durasov / P. Fua (Dir.)

Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10548.

Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields

K. Xie; J. Yang; D. Wei; Z. Weng; P. Fua

Medical image analysis. 2025. DOI : 10.1016/j.media.2024.103367.

2024

Reconstruction of Manipulated Garment with Guided Deformation Prior

R. Li; C. Dumery; Z. Deng; P. Fua

38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 - 2024-12-15.

No Identity, no problem: Motion through detection for people tracking

M. Engilberge; F. W. Grosche; P. Fua

Transactions on Machine Learning Research. 2024.

CLOAF: CoLlisiOn-Aware Human Flow

A. Davydov; M. Engilberge; M. Salzmann; P. Fua

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2024, Seattle, WA, USA, 2024-06-17 - 2024-06-21. p. 1176 - 1185. DOI : 10.1109/CVPR52733.2024.00118.

Enabling Uncertainty Estimation in Iterative Neural Networks

N. Durasov; D. Oner; J. Donier; M. H. Lê; P. Fua

41st International Conference on Machine Learning (ICML) 2024, Vienna, Austria, 2024-07-21 - 2024-07-24. p. 12172 - 12189.

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes

A. Davydov; A. Sidnev; A. Sanakoyeu; Y. Chen; M. Salzmann et al.

Transactions on Machine Learning Research. 2024. DOI : 10.48550/arXiv.2402.02736.

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Z. Wei; A. Yang; J. Li; M. Bauerheim; R. P. Liem et al.

2024.

A Closed-Form Pairwise Solution to Local Non-Rigid Structure-from-Motion

S. Parashar; Y. Long; M. Salzmann; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. DOI : 10.1109/TPAMI.2024.3383316.

Aggregating Spatial and Photometric Context for Photometric Stereo

D. Honzátko / P. Fua; E. Türetken (Dir.)

Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9806.

DeepMesh: Differentiable Iso-Surface Extraction

B. Guillard; E. Remelli; A. Lukoaianov; P. Yvernay; S. Richter et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024.

MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision

J. Li; Z. Zhou; J. Yang; A. Pepe; C. Gsaxner et al.

Biomedizinische Technik. Biomedical engineering. 2024. DOI : 10.1515/bmt-2024-0396.

Detecting Road Obstacles by Erasing Them

K. M. Lis; S. Honari; P. Fua; M. Salzmann

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. DOI : 10.1109/TPAMI.2023.3335152.

DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization

Z. Wei; E. Dufour; C. Pelletier; P. Fua; M. Bauerheim

AIAA AVIATION Forum, Las Vegas, NV, USA, July 29–August 2, 2024.

Incorporating Projective Geometry into Deep Learning

M. J. Tyszkiewicz / P. Fua (Dir.)

Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10538.

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

J. Yang; E. Sedykh; J. Adhinarta; M. H. Lê; P. Fua

International Conference on Medical Image Computing and Computer-Assisted Intervention, MARRAKESH, MOROCCO, 2024-10-06 - 2024-10-10.

2023

Learning for Multi-View Tracking

I. Vrkic

2023

Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics

Z. Wei; B. Guillard; P. Fua; V. Chapin; M. Bauerheim

Aiaa Journal. 2023. DOI : 10.2514/1.J062533.

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

E. Tretschk; N. Kairanda; B. R. Mallikarjun; R. Dabral; A. Kortylewski et al.

Computer Graphics Forum. 2023. DOI : 10.1111/cgf.14774.

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

L. Manubens-Gil; Z. Zhou; H. Chen; A. Ramanathan; X. Liu et al.

Nature Methods. 2023. DOI : 10.1038/s41592-023-01848-5.

Perspective Aware Road Obstacle Detection

K. Lis; S. Honari; P. Fua; M. Salzmann

Ieee Robotics And Automation Letters. 2023. DOI : 10.1109/LRA.2023.3245410.

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

N. Mallya; P. B. Baqué; P. Yvernay; A. Pozzetti; P. Fua et al.

ASME Journal of Heat and Mass Transfer. 2023. DOI : 10.1115/1.4056663.

Informing Neural Networks with Simplified Physics for Better Flow Prediction

F. Sergeev

2023

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

R. Li; B. Guillard; P. Fua

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, December 10-16, 2023. DOI : 10.48550/arXiv.2305.14100.

Geometrically-Conditioned Point Diffusion Models

M. J. Tyszkiewicz; P. Fua; E. Trulls Fortuny

International Conference on Computer Vision (ICCV), Paris.

Deep Learning for 3D Surface Modelling and Reconstruction

B. A. R. Guillard / P. Fua (Dir.)

Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10386.

DrapeNet: Garment Generation and Self-Supervised Draping

L. De Luigi; R. Li; B. Guillard; M. Salzmann; P. Fua

The 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023-06-18 - 2023-06-22. p. 1451 - 1460. DOI : 10.1109/CVPR52729.2023.00146.

Topologically Better Delineation of Curvilinear Structures

D. Oner / P. Fua (Dir.)

Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9749.

Multi-view Tracking Using Weakly Supervised Human Motion Prediction

M. Engilberge; W. Liu; P. Fua

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, USA, January 3-7, 2023. DOI : 10.1109/WACV56688.2023.0016.

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

L. Barbed; J. Montiel; P. Fua; A. Murillo

26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada, October 8–12, 2023. p. 583 - 593. DOI : 10.1007/978-3-031-43907-0_56.

LightDepth: Single-View Depth Self-Supervision from Illumination Decline

J. Puigvert; V. Batlle; J. Montiel; R. Cantin; P. Fua et al.

International Conference on Computer Vision (ICCV), Paris, October 3-5, 2023. DOI : 10.1109/ICCV51070.2023.01945.

GECCO: Geometrically-Conditioned Point Diffusion Models

M. J. Tyszkiewicz; P. Fua; E. Trulls

IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 2128 - 2138. DOI : 10.1109/ICCV51070.2023.00203.

Automated Human Motion Analysis and Synthesis

S. Kiciroglu / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8976.

Detecting Anomalies and Obstacles in Road Scenes

K. M. Lis / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8972.

Dense Image-based Predictions for Comics Analysis

D. Bhattacharjee / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10212.

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

Z. Wei; P. Fua; M. Bauerheim

AIAA Aviation Forum 2023, San Diego, CA, USA, June 12-16, 2023. DOI : 10.2514/6.2023-3471.

LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

V. Batlle; J. Montiel; P. Fua; J. Tardos

26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vancouver, Canadda, October 8-12, 2023. p. 502 - 512. DOI : 10.1007/978-3-031-43999-5_48.

Improving Object Detection under Domain Shifts

Vidit / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9805.

Multi-view Tracking UsingWeakly Supervised Human Motion Prediction

M. Engilberge; W. Liu; P. Fua

23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, Jan 03-07, 2023. p. 1582 - 1592. DOI : 10.1109/WACV56688.2023.00163.

A method and system for enforcing smoothness constraints on surface meshes from a graph convolutional neural network

P. U. Wickramasinghe; P. Fua

US2023169732 . 2023.

Two-level Data Augmentation for Calibrated Multi-view Detection

M. Engilberge; H. Shi; Z. Wang; P. Fua

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, USA, January 3-7, 2023. p. 128 - 136. DOI : 10.1109/WACV56688.2023.00021.

Latent Representation of CFD Meshes and Application to Airfoil Aerodynamics

Z. Wei; B. Guillard; P. Fua; V. Chapin; M. Bauerheim

2023

2022

Overcoming the Domain Gap in Neural Action Representations

S. Guenel; F. Aymanns; S. Honari; P. Ramdya; P. Fua

International Journal Of Computer Vision. 2022. DOI : 10.1007/s11263-022-01713-6.

Self-supervised Segmentation via Background Inpainting

I. Katircioglu; H. Rhodin; V. Constantin; J. Spörri; M. Salzmann et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2021.3123902.

3D Pose Based Feedback For Physical Exercises

Z. Zhao; S. Kiciroglu; H. Vinzant; Y. Cheng; I. Katircioglu et al.

16th Asian Conference on Computer Vision (ACCV 2022), Macau, China, December 4-8, 2022. p. 1316 - 1332. DOI : 10.1007/978-3-031-26316-3_12.

Adversarial Parametric Pose Prior

A. Davydov; A. Remizova; V. Constantin; S. Honari; M. Salzmann et al.

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, USA, June 18-24, 2022. p. 10987 - 10995. DOI : 10.1109/CVPR52688.2022.01072.

Weakly Supervised Volumetric Image Segmentation with Deformed Templates

P. U. Wickramasinghe; P. M. Jensen; M. A. Shah; J. Yang; P. Fua

25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18-22, 2022. p. 422 - 432. DOI : 10.1007/978-3-031-16443-9_41.

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation

S. K. Roy; L. Citraro; S. Honari; P. Fua

10th International Conference on 3D Vision 2022 (3DV), Prague, Czechia, September 12-15, 2022. p. 577 - 586. DOI : 10.1109/3DV57658.2022.00068.

Long Term Motion Prediction Using Keyposes

S. Kiciroglu; W. Wang; M. Salzmann; P. Fua

International Conference on 3D Vision (3DV), Prague, Czech Republic, September 12-15, 2022. p. 12 - 21. DOI : 10.1109/3DV57658.2022.00014.

Generating LOD3 building models from structure-from-motion and semantic segmentation

B. G. Pantoja-Rosero; R. Achanta; M. Kozinski; P. Fua; F. Perez-Cruz et al.

Automation In Construction. 2022. DOI : 10.1016/j.autcon.2022.104430.

TOPO-Loss for continuity-preserving crack detection using deep learning

B. G. Pantoja-Rosero; D. Oner; M. Kozinski; R. Achanta; P. Fua et al.

Construction And Building Materials. 2022. DOI : 10.1016/j.conbuildmat.2022.128264.

Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate

D. Oner; M. Kozinski; L. Citraro; P. Fua

IEEE Transactions on Medical Imaging. 2022. DOI : 10.1109/TMI.2022.3193072.

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging

J. Yang; U. Wickramasinghe; B. Ni; P. Fua

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 15840 - 15850. DOI : 10.1109/CVPR52688.2022.01540.

3D reconstruction of curvilinear structures with stereo matching deep convolutional neural networks

O. Altingovde; A. Mishchuk; G. Ganeeva; E. Oveisi; C. Hebert et al.

Ultramicroscopy. 2022. DOI : 10.1016/j.ultramic.2021.113460.

Improving the Training of Compact Neural Networks for Visual Recognition

S. Guo / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9061.

Learning to Represent and Reconstruct 3D Deformable Objects

J. Bednarík / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-7974.

Counting People by Estimating People Flows

W. Liu; M. Salzmann; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2021.3102690.

Encoder-Decoder Models for Human Segmentation and Motion Analysis

I. Katircioglu / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8036.

J. Yang; R. Shi; U. Wickramasinghe; Q. Zhu; B. Ni et al.

25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 503 - 513. DOI : 10.1007/978-3-031-16440-8_48.

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

S. Honari; V. Constantin; H. Rhodin; M. Salzmann; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2022.3215307.

Leveraging Self-Supervision for Cross-Domain Crowd Counting

W. Liu; N. Durasov; P. Fua

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun 18-24, 2022. p. 5331 - 5342. DOI : 10.1109/CVPR52688.2022.00527.

Object Priors for Volumetric Image Segmentation

P. U. Wickramasinghe / P. Fua (Dir.)

Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8853.

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

D. Oner; M. Kozinski; L. Citraro; N. C. Dadap; A. G. Konings et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2021.3074366.

Learning to Simulate Realistic LiDARs

B. Guillard; S. Vemprala; J. K. Gupta; O. Miksik; V. Vineet et al.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. p. 8173 - 8180. DOI : 10.1109/IROS47612.2022.9981120.

MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks

B. Guillard; F. Stella; P. Fua

European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, October 23-27, 2022. p. 576 - 592. DOI : 10.1007/978-3-031-20062-5_33.

Learning to Align Sequential Actions in the Wild

W. Liu; B. Tekin; H. Coskun; V. Vineet; P. Fua

CVPR 2022 : IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, United States, Jun 18-24, 2022. p. 2171 - 2181. DOI : 10.1109/CVPR52688.2022.00222.

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

E. Remelli / P. Fua (Dir.)

Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8798.

Understanding Deep Neural Networks using Adversarial Attacks

K. K. Nakka / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9259.

Using Animal Motion Capture to Learn Neural Representations

S. Günel / P. Fua; P. P. Ramdya (Dir.)

Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9124.

DIG: Draping Implicit Garment over the Human Body

R. Li; B. Guillard; E. Remelli; P. Fua

16th Asian Conference on Computer Vision (ACCV 2022), Macau SAR, China, December 4-8, 2022. p. 344 - 359. DOI : 10.1007/978-3-031-26319-4_21.

Persistent Homology with Improved Locality Information for more Effective Delineation

D. Oner; A. Garin; M. Kozinski; K. Hess Bellwald; P. Fua

2022

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

S. Vasu; N. Talabot; A. Lukoianov; P. Baqué; J. Donier et al.

International Conference on 3D Vision, Prague, Czechia, September 12-15, 2022. DOI : 10.1109/3DV57658.2022.00072.

Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections

D. Oner; H. Osman; M. Kozinski; P. Fua

25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 591 - 601. DOI : 10.1007/978-3-031-16443-9_57.

2021

Human Detection and Segmentation via Multi-view Consensus

I. Katircioglu; H. Rhodin; J. Spörri; M. Salzmann; P. Fua

ICCV 2021 International Conference on Computer Vision, Montreal, Canada (online), October 11-17, 2021. p. 2835 - 2844. DOI : 10.1109/ICCV48922.2021.00285.

Defect segmentation for multi-illumination quality control systems

D. Honzátko; E. Türetken; S. Arjomand Bigdeli; L. A. Dunbar; P. Fua

Machine Vision and Applications. 2021. DOI : 10.1007/s00138-021-01244-z.

Structure-aware Multi-view 3D Reconstruction of Dislocations in TEM with Message Passing Neural Networks

O. Altingövde; A. Mishchuk; G. Ganeeva; E. Oveisi; C. Hébert et al.

Joint Meeting of Dreiländertagung & Multinational Congress on Microscopy (Microscopy Conference 2021), Digital, August 22-26, 2021.

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Z. Dang; K. M. Yi; Y. Hu; F. Wang; P. Fua et al.

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2021. DOI : 10.1109/TPAMI.2020.2978812.

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases

J. Bednarík; V. Kim; S. Chaudhuri; S. Parashar; M. Salzmann et al.

18th IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, Canada (online), October 11-17, 2021. p. 10438 - 10447. DOI : 10.1109/ICCV48922.2021.01029.

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

A. Gosztolai; S. Gunel; V. Lobato-Rios; M. Pietro Abrate; D. Morales et al.

Nature Methods. 2021. DOI : 10.1038/s41592-021-01226-z.

Wide-Depth-Range 6D Object Pose Estimation in Space

Y. Hu; S. Speierer; W. Jakob; P. Fua; M. Salzmann

Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 15870 - 15879. DOI : 10.1109/CVPR46437.2021.01561.

Deep Active Surface Models

P. U. Wickramasinghe; P. Fua; G. Knott

Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 21-25, 2021. p. 11652 - 11661. DOI : 10.1109/CVPR46437.2021.01148.

Masksembles for Uncertainty Estimation

N. Durasov; T. Bagautdinov; P. B. Baqué; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 13539 - 13548. DOI : 10.1109/CVPR46437.2021.01333.

Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching

J. Qiu; X. Wang; P. Fua; D. Tao

IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2021. DOI : 10.1109/TPAMI.2019.2934052.

Image Matching Across Wide Baselines: From Paper to Practice

Y. Jin; D. Mishkin; A. Mishchuk; J. Matas; P. Fua et al.

International Journal Of Computer Vision. 2021. DOI : 10.1007/s11263-020-01385-0.

Robust Differentiable SVD

W. Wang; Z. Dang; Y. Hu; P. Fua; M. Salzmann

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021. DOI : 10.1109/TPAMI.2021.3072422.

From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search

K. Yu / P. Fua; M. Salzmann (Dir.)

Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8035.

Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo

D. Honzatko; E. Turetken; P. Fua; L. A. Dunbar

9th International Conference on 3D Vision (3DV), ELECTR NETWORK, Dec 01-03, 2021. p. 394 - 402. DOI : 10.1109/3DV53792.2021.00049.

Human-Centered Scene Understanding via Crowd Counting

W. Liu / P. Fua (Dir.)

Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8979.

Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches

B. Guillard; E. Remelli; P. Yvernay; P. Fua

International Conference on Computer Vision (ICCV), Virtual, October 11-17, 2021. p. 13003 - 13012. DOI : 10.1109/ICCV48922.2021.01278.

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

R. Chan; K. Lis; S. Uhlemeyer; H. Blum; S. Honari et al.

Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, virtual, December 6-14, 2021.

Motion Prediction Using Temporal Inception Module

T. Lebailly; S. Kiciroglu; M. Salzmann; P. Fua; W. Wang

Asian Conference on Computer Vision (ACCV), Kyoto, Japan, December, 2020. p. 651 - 665. DOI : 10.1007/978-3-030-69532-3_39.

2020

Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals

S. Li; S. Günel; M. Ostrek; P. P. Ramdya; P. Fua et al.

Conference on Computer Vision and Pattern Recognition (CVPR). p. 13155 - 13165. DOI : 10.1109/CVPR42600.2020.01317.

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

S. Vasu; M. Kozinski; L. Citraro; P. Fua

European Conference on Computer Vision (ECCV), [Online event], August 23-28, 2020.

XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

D. Mehta; O. Sotnychenko; F. Mueller; W. Xu; M. Elgharib et al.

Acm Transactions On Graphics (TOG). 2020. DOI : 10.1145/3386569.3392410.

Single-Stage 6D Object Pose Estimation

Y. Hu; P. Fua; W. Wang; M. Salzmann

Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, June 16 - 18, 2020. p. 2927 - 2936. DOI : 10.1109/CVPR42600.2020.00300.

Shape Reconstruction by Learning Differentiable Surface Representations

J. Bednarík; S. Parashar; E. Gündogdu; M. Salzmann; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 14-16, 2020. p. 4715 - 4724. DOI : 10.1109/CVPR42600.2020.00477.

DISK: learning local features with policy gradient

M. J. Tyszkiewicz; P. Fua; E. Trulls

Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada (online), December 6-12, 2020.

Joint Segmentation and Path Classification of Curvilinear Structures

A. Mosinska; M. Kozinski; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2020. DOI : 10.1109/TPAMI.2019.2921327.

MeshSDF: Differentiable Iso-Surface Extraction

E. Remelli; A. Lukoianov; S. Ritcher; B. Guillard; T. Bagautdinov et al.

Conference on Neural Information Processing Systems (NeurIPS), [Virtual event], December, 2020.

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

S. Kiciroglu; H. Rhodin; S. N. Sinha; M. Salzmann; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 14-19, 2020. p. 100 - 109. DOI : 10.1109/CVPR42600.2020.00018.

Real-time camera pose estimation for sports fields

L. Citraro; P. Márquez-Neila; S. Savarè; V. Jayaram; C. Dubout et al.

Machine Vision and Applications (MVA). 2020. DOI : 10.1007/s00138-020-01064-7.

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

M. Kozinski; A. Mosinska; M. Salzmann; P. Fua

Medical Image Analysis. 2020. DOI : 10.1016/j.media.2019.101590.

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images

R. Bermúdez Chacón; O. Altingövde; C. J. Becker; M. Salzmann; P. Fua

IEEE Transactions on Medical Imaging. 2020. DOI : 10.1109/TMI.2019.2946462.

Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings

S. Parashar; M. Salzmann; P. Fua

Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 16-18, 2020. p. 2056 - 2064. DOI : 10.1109/CVPR42600.2020.00213.

Learning and leveraging shared domain semantics to counteract visual domain shifts

R. Bermúdez Chacón / P. Fua (Dir.)

Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10000.

Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images

L. Citraro; M. Kozinski; P. Fua

European Conference on Computer Vision (ECCV 2020), [Virtual conference], August 23-28, 2020.

Better Patch Stitching for Parametric Surface Reconstruction

Z. Deng; J. Bednarik; M. Salzmann; P. Fua

8th International Conference on 3D Vision (3DV), ELECTR NETWORK, Nov 25-28, 2020. p. 593 - 602. DOI : 10.1109/3DV50981.2020.00069.

UCLID-Net: Single View Reconstruction in Object Space

B. Guillard; E. Remelli; P. Fua

34th Conference on Neural Information Processing Systems, Virtual, December 6-12, 2020.

Domain-Adaptive Multibranch Networks

R. Bermúdez Chacón; M. Salzmann; P. Fua

International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

P. U. Wickramasinghe; E. Remelli; G. Knott; P. Fua

International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI), Lima, Peru, 4-8 OCTOBER 2020.

2019

Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation

W. Liu; K. M. Lis; M. Salzmann; P. Fua

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 4-8, 2019. p. 244 - 249. DOI : 10.1109/IROS40897.2019.8967852.

Detecting the Unexpected via Image Resynthesis

K. M. Lis; K. K. Nakka; P. Fua; M. Salzmann

IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 2152 - 2161. DOI : 10.1109/ICCV.2019.00224.

Probabilistic Atlases to Enforce Topological Constraints

P. U. Wickramasinghe; G. Knott; P. Fua

22rd International Conference On Medical Image Computing & Computer Assisted Intervention, Shenzhen, China, 2019-10-13. DOI : 10.1007/978-3-030-32239-7_25.

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

S. Günel; H. Rhodin; D. Morales; J. H. Campagnolo; P. Ramdya et al.

eLife. 2019. DOI : 10.7554/eLife.48571.

Are Existing Monocular Computer Vision-Based 3D Motion Capture Approaches Ready for Deployment? A Methodological Study on the Example of Alpine Skiing

M. Ostrek; H. Rhodin; P. Fua; E. Mueller; J. Spoerri

Sensors. 2019. DOI : 10.3390/s19194323.

Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking

A. Maksai; P. Fua

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 4634 - 4643. DOI : 10.1109/CVPR.2019.00477.

Aerodynamic shape optimization via surrogate modelling with convolutional neural networks

F. Bardi

2019

Neural Scene Decomposition for Multi-Person Motion Capture

H. Rhodin; V. Constantin; I. Katircioglu; M. Salzmann; P. Fua

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 7695 - 7705. DOI : 10.1109/CVPR.2019.00789.

Context-Aware Crowd Counting

W. Liu; M. Salzmann; P. Fua

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019. p. 5094 - 5103. DOI : 10.1109/CVPR.2019.00524.

Segmentation-driven 6D Object Pose Estimation

Y. Hu; J. L. Hugonot; P. Fua; M. Salzmann

Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019. p. 3380 - 3389. DOI : 10.1109/CVPR.2019.00350.

Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera

W. Xu; A. Chatterjee; M. Zollhofer; H. Rhodin; P. Fua et al.

IEEE Transactions On Visualization And Computer Graphics. 2019. DOI : 10.1109/TVCG.2019.2898650.

Geometry in active learning for binary and multi-class image segmentation

K. Konyushkova; R. Sznitman; P. Fua

Computer Vision And Image Understanding (CVIU). 2019. DOI : 10.1016/j.cviu.2019.01.007.

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

B. Fan; Q. Kong; X. Wang; Z. Wang; S. Xiang et al.

IEEE Transactions on Image Processing. 2019. DOI : 10.1109/TIP.2019.2909640.

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

E. Gundogdu; V. Constantin; A. Seifoddini; M. Dang; M. Salzmann et al.

IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8738 - 8747. DOI : 10.1109/ICCV.2019.00883.

Learning to Reduce Annotation Load

K. Konyushkova / P. Fua; R. Sznitman (Dir.)

Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9074.

Gravity as a Reference for Estimating a Person's Height from Video

D. Bieler; S. Gunel; P. Fua; H. Rhodin

IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8568 - 8576. DOI : 10.1109/ICCV.2019.00866.

Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images

A. J. Mosinska / P. Fua (Dir.)

Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9301.

Training Algorithms for Multiple Object Tracking

A. Maksai / P. Fua (Dir.)

Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9203.

Beyond Cartesian Representations for Local Descriptors

P. Ebel; A. Mishchuk; K. M. Yi; P. Fua; E. Trulls

IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 253 - 262. DOI : 10.1109/ICCV.2019.00034.

Shape optimisation of technical devices via gradient descent using convolutional neural network proxies

P. B. Baqué; P. Fua; F. Fleuret

US11768983 ; US2021157962 ; EP3679495 ; CN111295657 ; WO2019048085 . 2019.

Backpropagation-Friendly Eigendecomposition

W. Wang; Z. Dang; Y. Hu; P. Fua; M. Salzmann

Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CANADA, Dec 08-14, 2019.

What Face and Body Shapes Can Tell Us About Height

S. Gunel; H. Rhodin; P. Fua

IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 1819 - 1827. DOI : 10.1109/ICCVW.2019.00226.

2018

Real-Time Seamless Single Shot 6D Object Pose Prediction

B. Tekin; S. N. Sinha; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. p. 292 - 301. DOI : 10.1109/CVPR.2018.00038.

Modeling Facial Geometry using Compositional VAEs

T. Bagautdinov; C. Wu; J. Saragih; Y. Sheikh; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 3877 - 3886. DOI : 10.1109/CVPR.2018.00408.

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

J. Bednarík; M. Salzmann; P. Fua

International Conference on 3D Vision, Verona, Italy, September 5-8, 2018.

Learning Latent Representations of 3D Human Pose with Deep Neural Networks

I. Katiricioglu; B. Tekin; M. Salzmann; V. Lepetit; P. Fua

International Journal of Computer Vision. 2018. DOI : 10.1007/s11263-018-1066-6.

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Z. Dang; K. M. Yi; Y. Hu; F. Wang; P. Fua et al.

European Conference on Computer Vision, Munich, Germany, September 8-14, 2018. p. 768 - 783. DOI : 10.1007/978-3-030-01228-1_47.

Learning to Find Good Correspondences

K. M. Yi; E. Trulls; Y. Ono; V. Lepetit; M. Salzmann et al.

Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 2666 - 2674. DOI : 10.1109/CVPR.2018.00282.

Scale-Adaptive Superpixels

R. Achanta; P. Marquez Neila; P. Fua; S. Süsstrunk

Color and Imaging Conference (CIC26), Vancouver, Canada, November 12-16, 2018. p. 1 - 6(6). DOI : 10.2352.

LF-Net: Learning Local Features from Images

Y. Ono; E. Trulls Fortuny; P. Fua; K. M. Yi

Neural Information Processing Systems (NIPS), Montréal Canada.

A. Rozantsev; M. Salzmann; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018. DOI : 10.1109/TPAMI.2018.2814042.

Method, system, and device for learned invariant feature transform for computer images

P. Fua; V. Lepetit; E. F. Trulls; K. M. Yi

US10552709 ; US2018096224 . 2018.

Residual Parameter Transfer for Deep Domain Adaptation

A. Rozantsev; M. Salzmann; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 4339 - 4348. DOI : 10.1109/CVPR.2018.00456.

A Domain-Adaptive Two-Stream U-Net for Electron Microscopy Image Segmentation

R. Bermúdez Chacón; P. Marquez Neila; M. Salzmann; P. Fua

International Symposium of Biomedical Imaging (ISBI), Washington DC, USA, April 4-7, 2018. p. 400 - 404. DOI : 10.1109/ISBI.2018.8363602.

Mean-Field methods for Structured Deep-Learning in Computer Vision

P. B. Baqué / P. Fua; F. Fleuret (Dir.)

Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8677.

Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation

H. Rhodin; M. Salzmann; P. Fua

European Conference on Computer Vision (ECCV). p. 765 - 782. DOI : 10.1007/978-3-030-01249-6_46.

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

W. Wang; X. Alameda-Pineda; D. Xu; P. Fua; E. Ricci et al.

31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 7083 - 7092. DOI : 10.1109/CVPR.2018.00740.

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

A. J. Mosinska; P. Marquez Neila; M. Kozinski; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 3136 - 3145. DOI : 10.1109/CVPR.2018.00331.

Learning to Find Good Correspondences

K. M. Yi; E. Trulls Fortuny; Y. Ono; V. Lepetit; M. Salzmann et al.

Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 2666 - 2674. DOI : 10.1109/CVPR.2018.00282.

Variational Methods for Human Modeling

T. Bagautdinov / P. Fua; F. Fleuret (Dir.)

Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8680.

Learning Monocular 3D Human Pose Estimation from Multi-view Images

H. Rhodin; J. Sporri; I. Katircioglu; V. Constantin; F. Meyer et al.

Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 8437 - 8446. DOI : 10.1109/CVPR.2018.00880.

A Domain-Adaptive Two-Stream U-Net For Electron Microscopy Image Segmentation

R. Bermudez-Chancon; P. Marquez-Neila; M. Salzmann; P. Fua

International Symposium on Biomedical Imaging (ISBI), Washington, DC, Apr 04-07, 2018. p. 400 - 404. DOI : 10.1109/ISBI.2018.8363602.

Learning to Segment 3D Linear Structures Using Only 2D Annotations

M. Kozinski; A. J. Mosinska; M. Salzmann; P. Fua

MICCAI, Granada, Spain, September 16-20, 2018. p. 283 - 291. DOI : 10.1007/978-3-030-00934-2_32.

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

B. Tekin / P. Fua; V. Lepetit (Dir.)

Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8753.

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

J. Bednarik; P. Fua; M. Salzmann

6th International Conference on 3D Vision (3DV), Verona, ITALY, Sep 05-08, 2018. p. 606 - 615. DOI : 10.1109/3DV.2018.00075.

Geodesic Convolutional Shape Optimization

P. B. Baqué; E. Remelli; F. Fleuret; P. Fua

International Conference on Machine Learning (ICML), Stockholm, Sweden, July, 2018. p. 472 - 481.

2017

Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation

B. Tekin; P. Marquez Neila; M. Salzmann; P. Fua

International Conference on Computer Vision (ICCV). p. 3961 - 3970. DOI : 10.1109/ICCV.2017.425.

Vision-based detection of aircrafts and UAVs

A. Rozantsev / P. Fua; V. Lepetit (Dir.)

Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7589.

Three-dimensional electron imaging and reconstruction of dislocations from a single acquisition

E. Oveisi; A. Letouzey; P. Fua; C. Hébert

Microscopy Conference, Lausanne, Switzerland.

T. Bagautdinov; A. Alahi; F. Fleuret; P. Fua; S. Savarese

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017. p. 3425 - 3434. DOI : 10.1109/Cvpr.2017.365.

P. Baqué; F. Fleuret; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii, USA, July 21-26, 2017. p. 4303 - 4312. DOI : 10.1109/Cvpr.2017.458.

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

T. Kurmann; P. Marquez Neila; X. Du; P. Fua; D. Stoyanov et al.

International Conference on Medical Image Computing and Computer-Assisted Intervention (MCCAI), Quebec, Canada.

Tilt-less 3-D electron imaging and reconstruction of complex curvilinear structures

E. Oveisi; A. Letouzey; D. Alexander; Q. Jeangros; R. Schäublin et al.

Scientific Reports. 2017. DOI : 10.1038/s41598-017-07537-6.

Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences

E. Türetken; X. Wang; C. J. Becker; C. Haubold; P. Fua

Transactions on Medical Imaging (TMI). 2017. DOI : 10.1109/Tmi.2016.2640859.

Active Learning and Proofreading for Delineation of Curvilinear Structures

A. J. Mosinska; J. Tarnawski; P. Fua

MICCAI, Quebec City, Canada, September 10-14, 2017. p. 165 - 173. DOI : 10.1007/978-3-319-66185-8_19.

Learning Lightprobes for Mixed Reality Illumination

D. Mandl; K. M. Yi; P. Mohr; P. Roth; P. Fua et al.

International Symposium on Mixed and Augmented Reality (ISMAR), Nantes, France, October 9–13, 2017.

Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence

P. Fua; V. Lepetit; A. Rozantsev; B. Tekin

US2017316578 . 2017.

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

P. Glowacki; M. Pinheiro; A. Mosinska; E. Türetken; D. Lebrecht et al.

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/TPAMI.2017.2680444.

Detecting Flying Objects using a Single Moving Camera

A. Rozantsev; V. Lepetit; P. Fua

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/TPAMI.2016.2564408.

Stereo-vision three-dimensional reconstruction of curvilinear structures imaged with a TEM

E. Oveisi; A. Letouzey; S. De Zanet; G. Lucas; M. Cantoni et al.

Ultramicroscopy. 2017. DOI : 10.1016/j.ultramic.2017.08.010.

Geometric Graph Matching Using Monte Carlo Tree Search

M. A. Pinheiro; J. Kybic; P. Fua

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/Tpami.2016.2636200.

Computer Vision Techniques Applied to the Reconstruction of the 3-D Structure of Dislocations

E. Oveisi; S. De Zanet; P. Fua; C. Hébert

Microscopy & Microanalysis, St Louis, MO, USA, 2017. p. 102 - 103. DOI : 10.1017/S1431927617001192.

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

A. Rozantsev; S. Sinha; D. Dey; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, July, 2017. p. 2482 - 2491. DOI : 10.1109/Cvpr.2017.266.

Imposing Hard Constraints on Deep Networks: Promises and Limitations

P. Marquez Neila; M. Salzmann; P. Fua

CVPR Workshop on Negative Results in Computer Vision, Hawaii, HI, 2017.

2016

Tracking Interacting Objects Using Intertwined Flows

X. Wang; E. Türetken; F. Fleuret; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2513406.

Do We Need Binary Features for 3D Reconstruction?

B. Fan; Q. Kong; W. Sui; Z. Wang; X. Wang et al.

Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas, NV, June, 2016. p. 1126 - 1135. DOI : 10.1109/Cvprw.2016.144.

LIFT: Learned Invariant Feature Transform

K. M. Yi; E. Trulls Fortuny; V. Lepetit; P. Fua

European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 8-16, 2016. p. 467 - 483. DOI : 10.1007/978-3-319-46466-4_28.

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

E. Türetken; F. Benmansour; B. Andres; P. R. Glowacki; H. Pfister et al.

IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2016. DOI : 10.1109/Tpami.2016.2519025.

Towards Scalable Segmentation of 3D Image Stacks

C. J. Becker / P. Fua (Dir.)

Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6937.

Three-dimensional electron imaging of dislocations from a single sample tilt

E. Oveisi; A. Letouzey; P. Fua; C. Hébert

The 16th European Microscopy Congress 2016, Lyon, France, 28 August - 2 September, 2016. DOI : 10.1002/9783527808465.

Direct Prediction of 3D Body Poses from Motion Compensated Sequences

B. Tekin; A. Rozantsev; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016. p. 991 - 1000. DOI : 10.1109/CVPR.2016.113.

Structured Prediction of 3D Human Pose with Deep Neural Networks

B. Tekin; I. Katircioglu; M. Salzmann; V. Lepetit; P. Fua

British Machine Vision Conference (BMVC), York, UK, September 19-22, 2016. p. 130.1 - 130.11. DOI : 10.5244/C.30.130.

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

T. D. Ngo / P. Fua (Dir.)

Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6891.

Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures

A. Sironi / P. Fua; V. Lepetit (Dir.)

Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7241.

Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques

J. VanHaaren; H. Ben Shitrit; J. Davis; P. Fua

Conference on Knowledge Discovery and Data Mining, San Francisco, CA, August, 2016. p. 627 - 634. DOI : 10.1145/2939672.2939725.

Automated Reconstruction of Evolving Curvilinear Tree Structures

P. R. Głowacki / P. Fua (Dir.)

Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6930.

Multiscale Centerline Detection

A. Sironi; E. Türetken; V. Lepetit; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2462363.

Learning to Assign Orientations to Feature Points

K. M. Yi; Y. Verdie; P. Fua; V. Lepetit

Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016. p. 107 - 116. DOI : 10.1109/CVPR.2016.19.

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

K. R. Sapkota; S. A. Roelofsen; A. Rozantsev; V. Lepetit; D. Gillet et al.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, October 9-14, 2016. p. 1556 - 1561. DOI : 10.1109/IROS.2016.7759252.

What Players do with the Ball: A Physically Constrained Interaction Modeling

A. Maksai; X. Wang; P. Fua

International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Jun 26 - Jul 1 2016. p. 972 - 981. DOI : 10.1109/CVPR.2016.111.

Parsing human skeletons in an operating room

V. Belagiannis; X. Wang; H. B. Ben Shitrit; K. Hashimoto; R. Stauder et al.

Machine Vision and Applications. 2016. DOI : 10.1007/s00138-016-0792-4.

Computer vision profiling of neurite outgrowth dynamics reveals spatio-temporal modularity of Rho GTPase signaling

O. Pertz; L. Fusco; R. Lefort; K. C. Smith; F. Benmansour et al.

Journal of Cell Biology. 2016. DOI : 10.1083/jcb.201506018.

Globally Optimal Cell Tracking using Integer Programming

E. Türetken; X. Wang; C. J. Becker; C. Haubold; P. Fua

2016

Principled Parallel Mean-Field Inference for Discrete Random Fields

P. B. Baqué; T. Bagautdinov; F. Fleuret; P. Fua

Computer Vision and Pattern Recognition (CVPR), Las Vegas. p. 5848 - 5857. DOI : 10.1109/CVPR.2016.630.

Template-based Monocular 3D Shape Recovery using Laplacian Meshes

T. D. Ngo; J. Östlund; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2435739.

Scalable Unsupervised Domain Adaptation for Electron Microscopy

R. Bermúdez-Chacón; C. Becker; M. Salzmann; P. Fua

MICCAI 2016, Athens, Greece, October 17-21, 2016. p. 326 - 334. DOI : 10.1007/978-3-319-46723-8_38.

Active Learning for Delineation of Curvilinear Structures

A. Mosinska-Domanska; R. Sznitman; P. Glowacki; P. Fua

Conference on Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, 2016. p. 5231 - 5239. DOI : 10.1109/CVPR.2016.565.

Measuring the accuracy of softball impact simulations

L. Smith; D. Nevins; N. T. Dat; P. Fua

Sports Engineering. 2016. DOI : 10.1007/s12283-016-0210-1.

Learning to Match Aerial Images with Deep Attentive Architectures

H. Altwaijry; E. Trulls; J. Hays; P. Fua; S. Belongie

Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, June 27-30, 2016. p. 3539 - 3547. DOI : 10.1109/CVPR.2016.385.

Robust 3D Object Pose Estimation and Tracking from Monocular Images in Industrial Environments

A. Crivellaro / P. Fua; V. Lepetit (Dir.)

Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7282.

Simultaneous segmentation and anatomical labeling of the cerebral vasculature

D. Robben; E. Tueretken; S. Sunaert; V. Thijs; G. Wilms et al.

Medical Image Analysis. 2016. DOI : 10.1016/j.media.2016.03.006.

2015

Learning Structured Models for Segmentation of 2D and 3D Imagery

A. Lucchi; P. Márquez-Neila; C. Becker; Y. Li; K. Smith et al.

IEEE Transactions on Medical Imaging. 2015. DOI : 10.1109/TMI.2014.2376274.

Non-Rigid Graph Registration using Active Testing Search

E. Serradell; M. Pinheiro; R. Sznitman; J. Kybic; F. Moreno-Noguer et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. DOI : 10.1109/TPAMI.2014.2343235.

Learning Separable Filters

A. Sironi; B. Tekin; R. Rigamonti; V. Lepetit; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. DOI : 10.1109/Tpami.2014.2343229.

On Rendering Synthetic Images for Training an Object Detector

A. Rozantsev; V. Lepetit; P. Fua

Computer Vision and Image Understanding. 2015. DOI : 10.1016/j.cviu.2014.12.006.

Domain Adaptation for Microscopy Imaging

C. J. Becker; C. M. Christoudias; P. Fua

IEEE Transactions on Medical Imaging. 2015. DOI : 10.1109/Tmi.2014.2376872.

TILDE: A Temporally Invariant Learned DEtector

Y. Verdie; K. M. Yi; P. Fua; V. Lepetit

Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA. p. 5279 - 5288. DOI : 10.1109/CVPR.2015.7299165.

Tracking Interacting Objects in Image Sequences

X. Wang / P. Fua (Dir.)

Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6632.

Kullback-Leibler Proximal Variational Inference

M. E. Khan; P. B. Baqué; F. Fleuret; P. Fua

Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, December 9, 2015. p. 3402 - 3410.

Live Texturing of Augmented Reality Characters from Colored Drawings

S. Magnenat; T. D. Ngo; F. Zund; M. Ryffel; G. Noris et al.

IEEE Transactions on Visualization and Computer Graphics. 2015. DOI : 10.1109/Tvcg.2015.2459871.

Systems and methods for tracking interacting objects

E. Turetken; P. Fua; F. Fleuret; X. Wang

US9794525 ; US2015281655 . 2015.

Detecting and Tracking Cells using Network Flow Programming

E. Türetken; X. Wang; C. J. Becker; P. Fua

2015

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

T. D. Ngo; S. Park; A. A. Jorstad; A. Crivellaro; C. Yoo et al.

International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015. p. 2273 - 2281. DOI : 10.1109/ICCV.2015.262.

Discriminative Learning of Deep Convolutional Feature Point Descriptors

E. Simo-Serra; E. Trulls; L. Ferraz; I. Kokkinos; P. Fua et al.

International Conference on Computer Vision, Santiago, Chile, December 13-16, 2015. p. 118 - 126. DOI : 10.1109/ICCV.2015.22.

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

A. Crivellaro; M. Rad; Y. Verdie; K. M. Yi; P. Fua et al.

International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015. p. 4391 - 4399. DOI : 10.1109/ICCV.2015.499.

Localizing Polygonal Objects in Man-Made Environments

X. Sun / P. Fua (Dir.)

Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6622.

Flying Objects Detection from a Single Moving Camera

A. Rozantsev; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, June 7-12, 2015. p. 4128 - 4136. DOI : 10.1109/CVPR.2015.7299040.

Projection onto the Manifold of Elongated Structures for Accurate Extraction

A. Sironi; V. Lepetit; P. Fua

International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015. p. 316 - 324. DOI : 10.1109/ICCV.2015.44.

Introducing Geometry in Active Learning for Image Segmentation

K. Konyushkova; R. Sznitman; P. Fua

international conference in Computer Vision, Santiago, Chile, December 13-16, 2015. p. 2974 - 2982. DOI : 10.1109/ICCV.2015.340.

Probability Occupancy Maps for Occluded Depth Images

T. Bagautdinov; F. Fleuret; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, June 7-12, 2015. p. 2829 - 2837. DOI : 10.1109/CVPR.2015.7298900.

Special Section: Pose & Gesture

B. Stenger; N. Ukita; Y. Sato; P. Fua; D. Fleet

Computer Vision And Image Understanding. 2015. DOI : 10.1016/j.cviu.2015.10.011.

Modeling Brain Circuitry over a Wide Range of Scales

P. Fua; G. Knott

Frontiers in Neuroanatomy. 2015. DOI : 10.3389/fnana.2015.00042.

NeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks

A. Jorstad; B. Nigro; C. Cali; M. Wawrzyniak; P. Fua et al.

Neuroinformatics. 2015. DOI : 10.1007/s12021-014-9242-5.

2014

Caenorhabditis elegant segmentation using texture-based models for motility phenotyping

R. Sznitman; A. Greenblum; P. Fua; P. Arratia; J. Sznitman

IEEE Transactions on Biomedical Engineering. 2014. DOI : 10.1109/Tbme.2014.2298612.

Tracking Interacting Objects Optimally Using Integer Programming

X. Wang; E. Türetken; F. Fleuret; P. Fua

European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6-12, 2014. p. 17 - 32. DOI : 10.1007/978-3-319-10590-1_2.

Real-time landing place assessment in man-made environments

X. Sun; C. M. Christoudias; V. Lepetit; P. Fua

Machine Vision And Applications. 2014. DOI : 10.1007/s00138-013-0560-7.

Take your Eyes off the Ball: Improving Ball-Tracking by Focusing on Team Play

X. Wang; V. H. Ablavsky; H. Ben Shitrit; P. Fua

Computer Vision and Image Understanding. 2014. DOI : 10.1016/j.cviu.2013.11.010.

Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation

A. Lucchi; C. J. Becker; P. Marquez Neila; P. Fua

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 2014.

Dendritic tree extraction from noisy maximum intensity projection images in C-elegans

A. Greenblum; R. Sznitman; P. Fua; P. E. Arratia; M. Oren et al.

Biomedical Engineering Online. 2014. DOI : 10.1186/1475-925X-13-74.

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures

V. Belagiannis; X. Wang; B. Schiele; P. Fua; S. Ilic et al.

European Conference on Computer Vision, ChaLearn Looking at People Workshop, Zurich, Switzerland, September 6-12, 2014. p. 742 - 754. DOI : 10.1007/978-3-319-16178-5_52.

On the Relevance of Sparsity for Image Classification

R. Rigamonti; V. Lepetit; G. González; E. Türetken; F. Benmansour et al.

Computer Vision and Image Understanding. 2014. DOI : 10.1016/j.cviu.2014.03.009.

Dense Methods for Image Alignment with an Application to 3D Tracking

A. Crivellaro; P. Fua; V. Lepetit

2014

Re-Identification for Improved People Tracking

F. Fleuret; H. Ben Shitrit; P. Fua

Person Re-Identification; Springer, 2014. p. 309 - 330.

Better features for image categorization and segmentation

R. Rigamonti / P. Fua; V. Lepetit (Dir.)

Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6031.

[DEMO] Tracking Texture-less, Shiny Objects with Descriptor Fields

A. Crivellaro; Y. Verdie; K. M. Yi; P. Fua; V. Lepetit

International Symposium on Mixed and Augmented Reality (ISMAR), Munich, 2014. p. 331 - 332. DOI : 10.1109/ISMAR.2014.6948474.

Correlative In Vivo 2-Photon Beam Scanning Electron Microscopy: 3D Analysis of Neuronal Ultrastructure

B. Maco; A. Holtmaat; A. Jorstad; P. Fua; G. Knott

Correlative Light And Electron Microscopy II; San Diego: Elsevier Academic Press Inc, 2014. p. 339 - 361.

Efficient scanning for em based target localization

P. Fua; G. Knott; R. Sznitman; A. Lucchi

WO2014001157 ; US8588509 . 2014.

Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature

D. Robben; E. Türetken; S. Sunaert; V. Thijs; G. Wilms et al.

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Boston, Massachusetts, USA, Sep. 14-19, 2014.

On Rendering Synthetic Images for Training an Object Detector

A. Rozantsev; V. Lepetit; P. Fua

2014

Multi-Commodity Network Flow for Tracking Multiple People

H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI : 10.1109/Tpami.2013.210.

Receptive Fields Selection for Binary Feature Description

B. Fan; Q. Kong; T. Trzcinski; Z. Wang; C. Pan et al.

IEEE Transactions on Image Processing. 2014. DOI : 10.1109/TIP.2014.2317981.

Multiscale Centerline Detection by Learning a Scale-Space Distance Transform

A. Sironi; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 24-27, 2014. p. 2697 - 2704. DOI : 10.1109/CVPR.2014.351.

Free-Shape Polygonal Object Localization

X. Sun; C. M. Christoudias; P. Fua

European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sep 6-12, 2014. p. 317 - 332. DOI : 10.1007/978-3-319-10599-4_21.

Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery

R. Sznitman; C. J. Becker; P. Fua

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 14-18, 2014. p. 692 - 699. DOI : 10.1007/978-3-319-10470-6_86.

Reconstructing Evolving Tree Structures in Time Lapse Sequences

P. Glowacki; M. Pinheiro; E. Türetken; R. Sznitman; D. Lebrecht et al.

Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 2014. p. 3035 - 3042. DOI : 10.1109/CVPR.2014.388.

Learning and Matching Binary Local Feature Descriptors

T. P. Trzciński / P. Fua; V. Lepetit (Dir.)

Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6226.

Beyond KernelBoost

R. Rigamonti; V. Lepetit; P. Fua

2014

Identity-Preserving Multiple People Tracking

H. B. Ben Shitrit / P. Fua; F. Fleuret (Dir.)

Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6035.

Refining Mitochondria Segmentation in Electron Microscopy Imagery with Active Surfaces

A. Jorstad; P. Fua

European Conference on Computer Vision (ECCV) Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Zurich, Switzerland, September 6-12, 2014. p. 367 - 379. DOI : 10.1007/978-3-319-16220-1_26.

2013

KernelBoost: Supervised Learning of Image Features For Classification

C. J. Becker; R. Rigamonti; V. Lepetit; P. Fua

2013

Tracking Multiple Players using a Single Camera

H. Ben Shitrit; M. Raca; F. Fleuret; P. Fua

2013

Separable Filter Learning with Tensor Decomposition

B. Tekin

2013

Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery using Multi-Directional Oriented Flux

E. Türetken; C. Becker; P. Glowacki; F. Benmansour; P. Fua

International Conference on Computer Vision (ICCV), Sydney, Australia, December, 2013. p. 1553 - 1560. DOI : 10.1109/ICCV.2013.196.

Learning Separable Filters with Shared Parts

B. Tekin

2013

Learning Separable Filters

R. Rigamonti; A. Sironi; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 25-27, 2013. p. 2754 - 2761. DOI : 10.1109/Cvpr.2013.355.

Multi-camera face detection and recognition applied to people tracking

M. Zervos

2013

Method and apparatus for multiple object tracking with k-shortest paths

F. Fleuret; J. Berclaz; E. Tueretken; P. Fua; F. Fleuret

US8615107 ; US2013177200 . 2013.

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

A. Lucchi / P. Fua (Dir.)

Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5836.

Reconstructing Loopy Curvilinear Structures Using Integer Programming

E. Türetken; F. Benmansour; B. Andres; H. Pfister; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June, 2013. DOI : 10.1109/Cvpr.2013.238.

Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks

E. Türetken; F. Benmansour; P. Fua

2013

Tracking Multiple Handball Players using Multi-Commodity Network Flow for Assessing Tactical Behavior

A. Lopes; J. Florêncio; H. Ben Shitrit; P. Fua; S. Fonseca

Scientific Conference Women and Handball: Scientific and Practical Approaches, Vienna, Austria, November, 2013.

TPAMI CVPR Special Section

P. F. Felzenszwalb; D. A. Forsyth; P. Fua; T. E. Boult

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. DOI : 10.1109/TPAMI.2013.208.

An Optimal Policy for Target Localization with Application to Electron Microscopy

R. Sznitman; A. Lucchi; P. I. Frazier; B. M. Jedynak; P. Fua

International Conference on Machine Learning (ICML), Atlanta, GA, USA, June 16-21, 2013. p. 1 - 9.

Non-Linear Domain Adaptation with Boosting

C. J. Becker; C. M. Christoudias; P. Fua

Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, December 5-8, 2013.

Automated Reconstruction of Curvilinear Networks from 2D and 3D Imagery

E. Türetken / P. Fua (Dir.)

Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5933.

Boosting Binary Keypoint Descriptors

T. Trzcinski; C. M. Christoudias; P. Fua; V. Lepetit

Computer Vision and Pattern Recognition (CVPR), Portland, USA. p. 2874 - 2881. DOI : 10.1109/Cvpr.2013.370.

Tubular Geodesics using Oriented Flux: An ITK Implementation

F. Benmansour; E. Türetken; P. Fua

Insight Journal. 2013.

Keypoint Recognition using Random Forests and Random Ferns

V. Lepetit; P. Fua

Decision Forests for Computer Vision and Medical Image Analysis; Springer, 2013. p. 111 - 124.

Flash Scanning Electron Microscopy

R. Sznitman; A. Lucchi; M. Cantoni; G. Knott; P. Fua

16th Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 22-26, 2013.

Learning Context Cues for Synapse Segmentation

C. J. Becker; K. Ali; G. Knott; P. Fua

IEEE Transactions on Medical Imaging. 2013. DOI : 10.1109/Tmi.2013.2267747.

Tracklet-based Multi-Commodity Network Flow for Tracking Multiple People

H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua

EP2780871 ; EP2780871 ; WO2013072401 ; WO2013072401 . 2013.

Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets

A. Lucchi; Y. Li; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 23-28, 2013. DOI : 10.1109/Cvpr.2013.259.

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

F. Moreno Noguer; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. DOI : 10.1109/Tpami.2012.102.

Facial Descriptors for Identity-Preserving Multiple People Tracking

M. Zervos; H. BenShitrit; F. Fleuret; P. Fua

2013

Active Testing Search for Point Cloud Matching

M. A. Pinheiro; R. Sznitman; M. Serradell; J. Kybic; F. Moreno-Nogue et al.

International Conference on Information Processing in Medical Imaging (IPMI), Asilomar, California, USA, June 28, 2013. p. 572 - 583. DOI : 10.1007/978-3-642-38868-2_48.

Detection of Aircrafts on a Collision Course using Spatio-Temporal HOG

A. Rozantsev; C. M. Christoudias; V. Lepetit; P. Fua

2013

Supervised Feature Learning for Curvilinear Structure Segmentation

C. J. Becker; R. Rigamonti; V. Lepetit; P. Fua

International Conference on Medical Image Computing And Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 22-26, 2013. p. 526 - 533. DOI : 10.1007/978-3-642-40811-3_66.

Fast Object Detection with Entropy-Driven Evaluation

R. Sznitman; C. J. Becker; F. Fleuret; P. Fua

Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 23-28, 2013. p. 3270 - 3277. DOI : 10.1109/CVPR.2013.420.

2012

Learning Separable Filters

R. Rigamonti; V. Lepetit; P. Fua

2012

Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem

S. Mateo; C. Blum; P. Fua; E. Türetken

International Conference on Swarm Intelligence, Brussels, Belgium, September, 2012.

Learning Image Descriptors with the Boosting-Trick

T. Trzcinski; C. M. Christoudias; V. Lepetit; P. Fua

NIPS, Lake Tahoe, CA, USA, 2012.

BRIEF: Computing a Local Binary Descriptor Very Fast

M. Calonder; V. Lepetit; M. Özuysal; T. Trzcinski; C. Strecha et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.222.

Efficient Scanning for EM Based Target Localization

R. Sznitman; A. Lucchi; N. Pjescic-Emedi; G. Knott; P. Fua

15th International Conference on Medical Image Computing and Computer Assisted Intervention, Nice, France, October, 2012. p. 337 - 344. DOI : 10.1007/978-3-642-33454-2_42.

Real time multi-object tracking using multiple cameras

M. Zervos

2012

Structured Image Segmentation using Kernelized Features

A. Lucchi; Y. Li; K. Smith; P. Fua

European Conference on Computer Vision, Florence, Italy, October 2012.

AUTOMATIC MAPPING FROM ULTRA-LIGHT UAV IMAGERY

C. Strecha; O. Küng; P. Fua

EuroCOW 2012, Barceloa, Spain, February 8-10, 2012.

LDAHash: Improved Matching with Smaller Descriptors

C. Strecha; A. M. Bronstein; M. M. Bronstein; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.103.

Automated Reconstruction of Tree Structures using Path Classifiers and Mixed Integer Programming

E. Türetken; F. Benmansour; P. Fua

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 16-21, 2012. p. 566 - 573. DOI : 10.1109/CVPR.2012.6247722.

SLIC Superpixels Compared to State-of-the-art Superpixel Methods

R. Achanta; A. Shaji; K. Smith; A. Lucchi; P. Fua et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2012.120.

Data-Driven Visual Tracking in Retinal Microsurgery

R. Sznitman; K. Ali; R. Richa; R. Taylor; G. Hager et al.

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October, 2012. p. 568 - 575. DOI : 10.1007/978-3-642-33418-4_70.

Gradient Response Maps for Real-Time Detection of Textureless Objects

S. Hinterstoisser; C. Cagniart; S. Ilic; P. Sturm; N. Navab et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.206.

Learning to Detect Objects with Minimal Supervision

K. Ali / P. Fua; F. Fleuret (Dir.)

Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5310.

Robust Non-Rigid Registration of 2D and 3D Graphs

E. Serradell; P. Glowacki; J. Kybic; F. Moreno-Noguer; P. Fua

Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 2012. p. 996 - 1003. DOI : 10.1109/CVPR.2012.6247776.

A Real-Time Deformable Detector

K. Ali; F. Fleuret; D. Hasler; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.117.

Monocular 3D Reconstruction of Locally Textured Surfaces

A. Varol; A. Shaji; M. Salzmann; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.196.

Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks with Learned Shape Features

A. Lucchi; K. Smith; R. Achanta; G. Knott; P. Fua

IEEE Transactions on Medical Imaging. 2012. DOI : 10.1109/TMI.2011.2171705.

Thick Boundaries in Binary Space and Their Influence on Nearest-Neighbor Search

T. Trzcinski; V. Lepetit; P. Fua

Pattern Recognition Letters. 2012. DOI : 10.1016/j.patrec.2012.08.006.

A Constrained Latent Variable Model

A. Varol; M. Salzmann; P. Fua; R. Urtasun

IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, June 16-21, 2012. p. 2248 - 2255. DOI : 10.1109/CVPR.2012.6247934.

Worldwide Pose Estimation Using 3D Point Clouds

Y. LI; N. Snavely; D. Huttenlocher; P. Fua

European Conference on Computer Vision (ECCV), Florence, Italy, October, 2012. p. 15 - 29. DOI : 10.1007/978-3-642-33718-5_2.

V. H. Ablavsky; C. J. Becker; P. Fua

2012

Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces

A. Varol / P. Fua (Dir.)

Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5458.

Laplacian Meshes for Monocular 3D Shape Recovery

J. O. M. Östlund; A. Varol; T. D. Ngo; P. Fua

European Conference on Computer Vision, Florence, October 2012.

Efficient Large Scale Multi-View Stereo for Ultra High Resolution Image Sets

E. Tola; C. Strecha; P. Fua

Machine Vision and Applications. 2012. DOI : 10.1007/s00138-011-0346-8.

On the Relevance of Sparsity for Image Classification

R. Rigamonti; V. Lepetit; G. González Serrano; E. Türetken; F. Benmansour et al.

2012

Learning Context Cues for Synapse Segmentation in EM Volumes

C. J. Becker; K. Ali; G. Knott; P. Fua

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). p. 585 - 592. DOI : 10.1007/978-3-642-33415-3_72.

2011

Turning Augmented Reality into a media: Design exploration to build a dedicated visual language

N. Henchoz; V. Lepetit; P. Fua; J. Miles

2011 IEEE International Symposium on Mixed and Augmented Reality - Arts, Media, and Humanities, Basel, Switzerland, 26-29 October, 2011. p. 83 - 89. DOI : 10.1109/ISMAR-AMH.2011.6093661.

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

M. Brown; S. Süsstrunk; P. Fua

IEEE CVPR Workshop on Biologically Consistent Vision, Colorado Springs, CO, USA, June 2011. DOI : 10.1109/CVPRW.2011.5981688.

Long Term Real Trajectory Reuse Through Region Goal Satisfaction

J. Ahn; S. Gobron; Q. Silvestre; H. Ben Shitrit; M. Raca et al.

International Conference on Motion in Games (MIG), Edinburgh, UK, November 13-15, 2011. p. 412 - 423. DOI : 10.1007/978-3-642-25090-3_35.

Filter Learning for Linear Structure Segmentation

R. Rigamonti; E. Türetken; G. González Serrano; P. Fua; V. Lepetit

2011

The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery

O. Küng; C. Strecha; A. Beyeler; J.-C. Zufferey; D. Floreano et al.

UAV-g 2011 - Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.

Tracking Multiple People under Global Appearance Constraints

H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua

International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011. p. 137 - 144. DOI : 10.1109/ICCV.2011.6126235.

Are Spatial and Global Constraints Really Necessary for Segmentation?

A. Lucchi; Y. Li; X. Boix Bosch; K. Smith; P. Fua

IEEE International Conference on Computer Vision (ICCV), Barcelona. p. 9 - 16. DOI : 10.1109/ICCV.2011.6126219.

myCopter – Enabling Technologies for Personal Aerial Transportation Systems

F. M. Nieuwenhuizen; M. Jump; M. White; P. Perfect; P. Padfield et al.

International HELI World Conference, Frankfurt/Main, Germany, 2011.

Rotational Features Extraction for Ridge Detection

G. González Serrano; F. Fleuret; F. Aguet; F. Benmansour; M. Unser et al.

2011

Multiple Object Tracking using K-Shortest Paths Optimization

J. Berclaz; E. Turetken; F. Fleuret; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. DOI : 10.1109/TPAMI.2011.21.

myCopter: Enabling Technologies for Personal Air Transport Systems

M. Jump; P. Padfield; M. White; D. Floreano; P. Fua et al.

RAeS Rotorcraft Conference: The Future Rotorcraft – Enabling Capability Through the Application of Technology, London, UK, 15-16th June 2011.

Learning Real-Time Perspective Patch Rectification

S. Hinterstoisser; V. Lepetit; S. Benhimane; P. Fua; N. Navab

International Journal of Computer Vision. 2011. DOI : 10.1007/s11263-010-0379-x.

myCopter – Enabling Technologies for Personal Aerial Transportation Systems.

M. Jump; P. Perfect; G. D. Padfield; M. D. White; D. Floreano et al.

European Rotorcraft Forum, Vergiate/Gallarate, Italy, September 13-15, 2011.

Automated Detection and Delineation of Tree Structures in Noisy Micrographs

G. González Serrano / P. Fua; F. Fleuret (Dir.)

Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5065.

Conditional Random Fields for Multi-Camera Object Detection

G. Roig Noguera; X. Boix Bosch; H. Ben Shitrit; P. Fua

International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011. p. 563 - 570. DOI : 10.1109/ICCV.2011.6126289.

Simplified Building Models Extraction From Ultra-Light UAV Imagery

O. Küng; C. Strecha; P. Fua; D. Gurdan; M. Achtelik et al.

UAV-g 2011 - Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.

Linear Local Models for Monocular Reconstruction of Deformable Surfaces

M. Salzmann; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. DOI : 10.1109/TPAMI.2010.158.

Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors

E. Türetken; G. González Serrano; C. Blum; P. Fua

Neuroinformatics. 2011. DOI : 10.1007/s12021-011-9122-1.

Real-time vehicle tracking for driving assistance

A. Fossati; P. Schönmann; P. Fua

Machine Vision and Applications. 2011. DOI : 10.1007/s00138-009-0243-6.

2010

Robust, High-Speed Interest Point Matching for Real-Time Applications

M. Calonder / P. Fua (Dir.)

Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4868.

Pareto-optimal Dictionaries for Signatures

M. Calonder; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition, June. p. 3011 - 3018. DOI : 10.1109/CVPR.2010.5540050.

SLIC Superpixels

R. Achanta; A. Shaji; K. Smith; A. Lucchi; P. Fua et al.

2010

Pareto-optimal Dictionaries for Signatures

M. Calonder; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, Jun 13-18, 2010. p. 3011 - 3018. DOI : 10.1109/CVPR.2010.5540050.

Fast Keypoint Recognition using Random Ferns

M. Özuysal; M. Calonder; V. Lepetit; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. DOI : 10.1109/TPAMI.2009.23.

Least-Squares Minimization Under Constraints

P. Fua; A. Varol; R. Urtasun; M. Salzmann

2010

Simultaneous Pose, Correspondence and Non-Rigid Shape

J. Sanchez-Riera; J. O. M. Östlund; P. Fua; F. Moreno Noguer

Conference on Computer Vision and Pattern Recognition. p. 1189 - 1196. DOI : 10.1109/CVPR.2010.5539831.

Combining Geometric and Appearance Priors for Robust Homography Estimation

E. Serradell; M. Özuysal; V. Lepetit; P. Fua; F. Moreno-Noguer

p. 58 - 72. DOI : 10.1007/978-3-642-15558-1_5.

From Canonical Poses to 3D Motion Capture Using a Single Camera

A. Fossati; M. Dimitrijevic; V. Lepetit; P. Fua

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2010. DOI : 10.1109/TPAMI.2009.108.

Dynamic and Scalable Large Scale Image Reconstruction

C. Strecha; T. Pylvanainen; P. Fua

23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A, June 13-19, 2010. p. 406 - 413. DOI : 10.1109/CVPR.2010.5540184.

Simultaneous Point Matching and 3D Deformable Surface Reconstruction

A. Shaji; A. Varol; L. Torresani; P. Fua

23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A., June 13-19, 2010. p. 1221 - 1228. DOI : 10.1109/CVPR.2010.5539827.

Large occlusion completion using normal maps

E. Tola; A. Fossati; C. Strecha; P. Fua

Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010.

DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction

E. Tola / P. Fua (Dir.)

Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4830.

Learning Pose Invariant and Covariant Classifiers from Image Sequences

M. Özuysal / P. Fua; V. Lepetit (Dir.)

Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4746.

Delineating Trees in Noisy 2D Images and 3D Image Stacks

G. Gonzalez; E. Türetken; F. Fleuret; P. Fua

International Conference on Computer Vision and Pattern Recognition. p. 2799 - 2806. DOI : 10.1109/CVPR.2010.5540010.

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

A. Fossati / P. Fua (Dir.)

Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4699.

BRIEF: Binary Robust Independent Elementary Features

M. Calonder; V. Lepetit; C. Strecha; P. Fua

11th European Conference on Computer Vision (ECCV). p. 778 - 792. DOI : 10.1007/978-3-642-15561-1_56.

Making Action Recognition Robust to Occlusions and Viewpoint Changes

D. Weinland; M. Özuysal; P. Fua

European Conference on Computer Vision, Heraklion, Greece, September, 2010. p. 635 - 648. DOI : 10.1007/978-3-642-15558-1_46.

L'Hydroptère: A story of a dream

J.-M. Bourgeon; S. Dyen; D. Moyon; D. Schmäh; R. Amacher et al.

21st HISWA International Symposium on Yacht Design and Yacht Construction, Amsterdam, The Netherlands, November 15-16, 2010.

Monocular 3D Reconstruction of Locally Textured Surfaces

A. Varol; A. Shaji; M. Salzmann; P. Fua

2010

Pedestrian localization, tracking and behavior analysis from multiple cameras

J. Berclaz / P. Fua; F. Fleuret (Dir.)

Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4629.

Exploring Ambiguities for Monocular Non-Rigid Shape Estimation

F. Moreno-Noguer; J. Porta; P. Fua

European Conference on Computer Vision, Heraklion, Greece, September, 2010. p. 370 - 383. DOI : 10.1007/978-3-642-15558-1_27.

View-Based Maps

K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al.

International Journal of Robotics Research. 2010. DOI : 10.1177/0278364910370376.

Daisy: An Efficient Dense Descriptor Applied to Wide Baseline Stereo

E. Tola; V. Lepetit; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. DOI : 10.1109/TPAMI.2009.77.

Reconstructing Geometrically Consistent Tree Structures from Noisy Images

E. Türetken; C. Blum; G. Gonzalez Serrano; P. Fua

Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, September 20-24, 2010. p. 291 - 299. DOI : 10.1007/978-3-642-15705-9_36.

Deformable Surface 3D Reconstruction from Monocular Images

M. Salzmann; P. Fua

Morgan-Claypool.

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images

A. Lucchi; K. Smith; R. Achanta; V. Lepetit; P. Fua

International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, September 20-24, 2010. p. 463 - 471. DOI : 10.1007/978-3-642-15745-5_57.

LDAHash: Improved matching with smaller descriptors

C. Strecha; A. M. Bronstein; M. M. Bronstein; P. Fua

2010

Supervoxel-Based Segmentation of EM Image Stacks with Learned Shape Features

A. Lucchi; K. Smith; R. Achanta; G. Knott; P. Fua

2010

L'HYDROPTERE: HOW MULTIDISCIPLINARY SCIENTIFIC RESEARCH MAY HELP BREAK THE SAILING SPEED RECORD

M. Calmon; M. Farhat; P. Fua; K. Startchev; G. Bonnier et al.

2nd INTERNATIONAL CONFERENCE ON INNOVATION IN HIGH PERFORMANCE SAILING YACHTS (Innov'Sail), Lorient, France, June 30 - 1st July 1st, 2010.

2009

Multiple Object Tracking using Flow Linear Programming

J. Berclaz; F. Fleuret; P. Fua

2009

Image Summaries using Database Saliency

R. Achanta; A. Shaji; P. Fua; S. Süsstrunk

The 2nd ACM SIGGRAPH Conference and Exhibition in Asia (SIGGRAPH Asia), Yokohama, Japan, December 16-19, 2009. DOI : 10.1145/1666778.1666821.

EPnP: An Accurate O(n) Solution to the PnP Problem

V. Lepetit; F. Moreno-Noguer; P. Fua

International Journal Of Computer Vision. 2009. DOI : 10.1007/s11263-008-0152-6.

Template-Free Monocular Reconstruction of Deformable Surfaces

A. Varol; M. Salzmann; E. Tola; P. Fua

International Conference on Computer Vision, Kyoto, September 27 - October 4, 2009.

Memories of the world of the mountains

C. Scherrer; J. Pilet; V. Lepetit; P. Fua

Leonardo. 2009. DOI : 10.1162/leon.2009.42.4.350.

Compact Signatures for High-speed Interest Point Description and Matching

M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al.

IEEE International Conference on Computer Vision, Kyoto, JAPAN, Sep 29-Oct 02, 2009. p. 357 - 364. DOI : 10.1109/ICCV.2009.5459272.

Capturing 3D Stretchable Surfaces from Single Images in Closed Form

F. Moreno-Noguer; M. Salzmann; V. Lepetit; P. Fua

Computer Vision and Pattern Recognition (CVPR). p. 1842 - 1849. DOI : 10.1109/CVPR.2009.5206758.

View-Based Maps

K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al.

Robotics: Science and Systems Conference, Seattle, June 2009.

Pose Estimation for Category Specific Multiview Object Localization

M. Özuysal; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition, Miami, 2009. p. 778 - 785. DOI : 10.1109/CVPR.2009.5206633.

Learning Rotational Features for Filament Detection

G. Gonzalez; F. Fleuret; P. Fua

International Conference on Computer Vision and Pattern Recognition. p. 1582 - 1589. DOI : 10.1109/CVPR.2009.5206511.

Learning and recovering 3D surface deformations

M. Salzmann / P. Fua (Dir.)

Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4270.

Observable Subspaces for 3D Human Motion Recovery

A. Fossati; M. Salzmann; P. Fua

IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, USA, June 22 - 24, 2009. p. 1137 - 1144. DOI : 10.1109/CVPR.2009.5206489.

Classification-based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

A. Shahrokni; T. Drummond; F. Fleuret; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009. DOI : 10.1109/TPAMI.2008.236.

Compact Signatures for High-speed Interest Point Description and Matching

M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al.

International Conference on Computer Vision, September, 2009.

Multiple Object Tracking using Flow Linear Programming

J. Berclaz; F. Fleuret; P. Fua

12th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (Winter-PETS 2009), Snowbird, Utah. DOI : 10.1109/PETS-WINTER.2009.5399488.

Steerable Features for Statistical 3D Dendrite Detection

G. Gonzalez; F. Aguet; F. Fleuret; M. Unser; P. Fua

Twelfth International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'09), London, UK, September 20-24, 2009. p. 625 - 632. DOI : 10.1007/978-3-642-04271-3_76.

Specularities as an information source in the presence of texture

P. Lagger / P. Fua (Dir.)

Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4387.

Training for Task Specific Keypoint Detection

C. Strecha; A. Lindner; K. Ali; P. Fua

DAGM Symposium on Pattern Recognition, Jena, GERMANY, Sep 09-11, 2009. p. 151 - 160. DOI : 10.1007/978-3-642-03798-6_16.

Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems

J. Berclaz; A. Shahrokni; F. Fleuret; J. Ferryman; P. Fua

IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida, USA, June 20-25, 2009. p. 55 - 62.

Joint Pose Estimator and Feature Learning for Object Detection

K. Ali; F. Fleuret; D. Hasler; P. Fua

IEEE International Conference on Computer Vision. p. 1373 - 1380. DOI : 10.1109/ICCV.2009.5459304.

Appearance-based Keypoint Clustering

F. J. Estrada; P. Fua; V. Lepetit; S. Süsstrunk

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami Beach, FL, USA, June 20-25, 2009. DOI : 10.1109/CVPR.2009.5206514.

2008

Multi-Camera People Tracking with a Probabilistic Occupancy Map

F. Fleuret; J. Berclaz; R. Lengagne; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2008. DOI : 10.1109/TPAMI.2007.1174.

Automated Delineation of Dendritic Networks in Noisy Image Stacks

G. Gonzalez; F. Fleuret; P. Fua

European Conference on Computer Vision, Marseille, October 13-16, 2008. p. 214 - 227. DOI : 10.1007/978-3-540-88693-8_16.

Keypoint Signatures for Fast Learning and Recognition

M. Calonder; V. Lepetit; P. Fua

European Conference on Computer Vision, Marseille, FRANCE, Oct 12-18, 2008. p. 58 - 71. DOI : 10.1007/978-3-540-88682-2_6.

Making Background Subtraction Robust to Sudden Illumination Changes

J. Pilet; C. Strecha; P. Fua

European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 567 - 580. DOI : 10.1007/978-3-540-88693-8_42.

Linking Pose and Motion

A. Fossati; P. Fua

European Conference on Computer Vision, Marseille, October 12-18, 2008. p. 200 - 213. DOI : 10.1007/978-3-540-88693-8_15.

Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps

J. Berclaz; F. Fleuret; P. Fua

Proceedings of the 10th European Conference on Computer Vision, Marseille, October 12-18, 2008. p. 112 - 125. DOI : 10.1007/978-3-540-88690-7_9.

Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation

J. Pilet; V. Lepetit; P. Fua

International Journal of Computer Vision. 2008. DOI : 10.1007/s11263-006-0017-9.

Augmented reality for non-rigid surfaces

J. Pilet / P. Fua (Dir.)

Lausanne, EPFL, 2008. DOI : 10.5075/epfl-thesis-4192.

Pose Priors for Simultaneously Solving Alignment and Correspondence

F. Moreno-Noguer; V. Lepetit; P. Fua

European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 405 - 418. DOI : 10.1007/978-3-540-88688-4_30.

Retrieving multiple light sources in the presence of specular reflections and texture

P. Lagger; P. Fua

Computer Vision And Image Understanding. 2008. DOI : 10.1016/j.cviu.2007.11.002.

A Generative Model for True Orthorectification

C. Strecha; L. Van Gool; P. Fua

ISPRS Congress Beijing 2008, Beijing, 2008.

Tracking Articulated Bodies using Generalized Expectation Maximization

A. Fossati; E. Arnaud; R. Horaud; P. Fua

CVPR Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Anchorage, June 27-28, 2006. DOI : 10.1109/CVPRW.2008.4563073.

Local deformation models for monocular 3D shape recovery

M. Salzmann; R. Urtasun; P. Fua

IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1213 - 1220. DOI : 10.1109/CVPR.2008.4587499.

Principled Detection-by-Classification from Multiple Views

J. Berclaz; F. Fleuret; P. Fua

International Conference on Computer Vision Theory and Applications, Funchal, Madeira, January 22-25, 2008. p. 375 - 382.

P. Lagger; M. Salzmann; V. Lepetit; P. Fua

IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1205 - 1212. DOI : 10.1109/CVPR.2008.4587498.

A fast local descriptor for dense matching

E. Tola; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition, Alaska, USA, June 24-26, 2008. DOI : 10.1109/CVPR.2008.4587673.

Closed-Form Solution to Non-rigid 3D Surface Registration

M. Salzmann; F. Moreno-Noguer; V. Lepetit; P. Fua

European Conference on Computer Vision, Marseille, FRANCE, Oct 12-18, 2008. p. 581 - 594. DOI : 10.1007/978-3-540-88693-8_43.

Automated Delineation of Dendritic Networks in Noisy Image Stacks

G. Gonzalez; F. Fleuret; P. Fua

European Conference on Computer Vision. p. 214 - 227. DOI : 10.1007/978-3-540-88693-8_16.

IA Generative Model for True Orthorectification

C. Strecha; L. Van Gool; P. Fua

ISPRS Congress, Beijing, 2008. p. 303 - 308.

On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery

C. Strecha; W. von Hansen; L. Van Gool; P. Fua; U. Thoennessen

IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, June 24-26, 2008. DOI : 10.1109/CVPR.2008.4587706.

Keypoint Signatures for Fast Learning and Recognition

M. Calonder; V. Lepetit; P. Fua

European Conference on Computer Vision, Marseilles, October 2008. p. 58 - 71. DOI : 10.1007/978-3-540-88682-2_6.

2007

Spatio-temporal human pose detection

M. Dimitrijevic / P. Fua (Dir.)

Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3903.

Robust Multi-View Change Detection

A. Lanza; L. Di Stefano; J. Berclaz; F. Fleuret; P. Fua

British Machine Vision Conference, Warwick, September 10-13, 2007. p. 72.1 - 72.10. DOI : 10.5244/C.21.72.

Surface Deformation Models for Non-Rigid 3--D Shape Recovery

M. Salzmann; J. Pilet; S. Ilic; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2007. DOI : 10.1109/TPAMI.2007.1080.

Fast Keypoint Recognition in Ten Lines of Code

M. Ozuysal; P. Fua; V. Lepetit

IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 18-23, 2007. DOI : 10.1109/CVPR.2007.383123.

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

A. Fossati; M. Dimitrijevic; V. Lepetit; P. Fua

IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 17-22, 2007. p. 1 - 8. DOI : 10.1109/CVPR.2007.383297.

Retexturing in the Presence of Complex Illumination and Occlusions

J. Pilet; V. Lepetit; P. Fua

International Symposium on Mixed and Augmented Reality, Nara, Japan, November, 2007.

Accurate Non-Iterative O(n) Solution to the PnP Problem

F. Moreno-Noguer; V. Lepetit; P. Fua

International Conference on Computer Vision, 2007.

Implicit Meshes for Effective Silhouette Handling

S. Ilic; M. Salzmann; P. Fua

International Journal of Computer Vision. 2007. DOI : 10.1007/s11263-006-8595-0.

Accurate non-iterative O(n) solution to the PnP problem

F. Moreno-Noguer; V. Lepetit; P. Fua

11th IEEE International Conference on Computer Vision, Rio de Janeiro, BRAZIL, Oct 14-21, 2007. p. 2252 - 2259. DOI : 10.1109/ICCV.2007.4409116.

2006

Implicit Meshes for Surface Reconstruction

S. Ilic; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. DOI : 10.1109/TPAMI.2006.37.

Keypoint Recognition using Randomized Trees

V. Lepetit; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. DOI : 10.1109/TPAMI.2006.188.

Motion models for robust 3D human body tracking

R. Urtasun Sotil / P. Fua (Dir.)

Lausanne, EPFL, 2006. DOI : 10.5075/epfl-thesis-3541.

Temporal Motion Models for Monocular and Multiview 3–D Human Body Tracking

R. Urtasun; D. Fleet; P. Fua

Computer Vision and Image Understanding. 2006. DOI : 10.1016/j.cviu.2006.08.006.

Dendrite Tracking in Microscopic Images using Minimum Spanning Trees and Localized E-M

F. Fleuret; P. Fua

2006

Robust People Tracking with Global Trajectory Optimization

J. Berclaz; F. Fleuret; P. Fua

IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, June 17-22, 2006. p. 744 - 750. DOI : 10.1109/CVPR.2006.258.

3D people tracking with Gaussian process dynamical models

R. Urtasun; D. Fleet; P. Fua

Computer Vision and Pattern Recognition, June, 2006. p. 238 - 245. DOI : 10.1109/CVPR.2006.15.

An all-in-one solution to geometric and photometric calibration

J. Pilet; A. Geiger; P. Lagger; V. Lepetit; P. Fua

International Symposium on Mixed and Augmented Reality, Santa Barbara, CA, October 2006. DOI : 10.1109/ISMAR.2006.297796.

Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

H. Dejnabadi; B. M. Jolles; E. Casanova; P. Fua; K. Aminian

Ieee Transactions on Biomedical Engineering. 2006. DOI : 10.1109/TBME.2006.873678.

Feature Harvesting for Tracking-by-Detection

M. Ozuysal; V. Lepetit; F. Fleuret; P. Fua

European Conference on Computer Vision, Graz, May 7-13, 2006. p. 592 - 605. DOI : 10.1007/11744078_46.

Human body pose detection using Bayesian spatio-temporal templates

M. Dimitrijevic; V. Lepetit; P. Fua

Computer Vision and Image Understanding. 2006. DOI : 10.1016/j.cviu.2006.07.007.

2005

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

L. Herda; R. Urtasun; P. Fua

Computer Vision and Image Understanding. 2005. DOI : 10.1016/j.cviu.2005.01.005.

Probabilistic modeling of texture transition for fast tracking and delineation

S. A. Shahrokni / P. Fua (Dir.)

Lausanne, EPFL, 2005. DOI : 10.5075/epfl-thesis-3377.

Randomized Trees for Real-Time Keypoint Recognition

V. Lepetit; P. Lagger; P. Fua

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA. p. 775 - 781. DOI : 10.1109/CVPR.2005.288.

Parameterizing Deformable Surfaces for Monocular 3--D Tracking

M. Salzmann; S. Ilic; P. Fua

2005

Fixed Point Probability Field for Complex Occlusion Handling

F. Fleuret; R. Lengagne; P. Fua

p. 694 - 700. DOI : 10.1109/ICCV.2005.102.

Real-Time Non-Rigid Surface Detection

J. Pilet; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition, San Diego, CA. p. 822 - 828. DOI : 10.1109/CVPR.2005.293.

Priors for People Tracking from Small Training Sets

R. Urtasun; D. J. Fleet; A. Hertzmann; P. Fua

International Conference in Computer Vision. p. 403 - 410. DOI : 10.1109/ICCV.2005.193.

Multiple Light Sources Recovery in the Presence of Specularities and Texture

P. Lagger; P. Fua

2005

Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking

M. Salzmann; S. Ilic; P. Fua

p. 12.1 - 12.10. DOI : 10.5244/C.19.12.

Classifier-based Contour Tracking for Rigid and Deformable Objects

A. Shahrokni; F. Fleuret; P. Fua

British Machine Vision Conference. p. 56.1 - 56.10. DOI : 10.5244/C.19.56.

An Investigation of Model Bias in 3D Face Tracking

D. Fidaleo; G. Medioni; P. Fua; V. Lepetit

Conference on Analysis and Modelling of Faces and Gestures. p. 125 - 139. DOI : 10.1007/11564386_11.

Monocular 3--D Tracking of the Golf Swing

R. Urtasun; D. Fleet; P. Fua

Conference on Computer Vision and Pattern Recognition, San Diego. p. 932 - 939. DOI : 10.1109/CVPR.2005.229.

Implicit meshes : unifying implicit and explicit surface representations for 3D reconstruction and tracking

S. Ilic / P. Fua (Dir.)

Lausanne, EPFL, 2005. DOI : 10.5075/epfl-thesis-3243.

Implicit Surfaces Make for Better Silhouettes

S. Ilic; M. Salzmann; P. Fua

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA. p. 1135 - 1142. DOI : 10.1109/CVPR.2005.185.

Augmenting Deformable Objects in Real-Time

J. Pilet; V. Lepetit; P. Fua

International Symposium on Mixed and Augmented Reality, Vienna, Austria, October 2005. p. 134 - 137. DOI : 10.1109/ISMAR.2005.18.

Fast Texture-Based Tracking and Delineation Using Texture Entropy

A. Shahrokni; T. Drummond; P. Fua

p. 1154 - 1160. DOI : 10.1109/ICCV.2005.97.

Real-Time Non-Rigid Surface Detection

J. Pilet; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition, San Diego, CA, June 2005. p. 822 - 828. DOI : 10.1109/CVPR.2005.293.

Human Body Pose Recognition Using Spatio-Temporal Templates

M. Dimitrijevic; V. Lepetit; P. Fua

ICCV workshop on Modeling People and Human Interaction, Beijing, China.

Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

V. Lepetit; P. Fua

Foundations and Trends in Computer Graphics and Vision. 2005. DOI : 10.1561/0600000001.

2004

Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation

V. Lepetit; J. Pilet; P. Fua

2004

Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture

L. Herda; R. Urtasun; P. Fua

European Conference on Computer Vision, Prague, Czech Republic. p. 405 - 418. DOI : 10.1007/978-3-540-24671-8_32.

3D Human Body Tracking using Deterministic Temporal Motion Models

R. Urtasun; P. Fua

2004

Mahalanobis Motion Generation

R. Urtasun; P. Glardon; D. Thalmann; P. Fua

2004

Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation

V. Lepetit; J. Pilet; P. Fua

Conference on Computer Vision and Pattern Recognition. DOI : 10.1109/CVPR.2004.1315170.

Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking

L. Vacchetti; V. Lepetit; P. Fua

International Symposium on Mixed and Augmented Reality, Arlington, VA. DOI : 10.1109/ISMAR.2004.24.

3D Tracking for Gait Characterization and Recognition

R. Urtasun; P. Fua

2004

3--D Motion Analysis and Synthesis from Inertial Gyroscopes and Image Data

E. Casanova; H. Dejnabadi; B. Jolles; K. Aminian; P. Fua

2004.

Fast Texture-Based Tracking and Delineation Using Texture Entropy

A. Shahrokni; T. Drummond; P. Fua

2004

Stable Real-Time 3D Tracking Using Online and Offline Information

L. Vacchetti; V. Lepetit; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004. DOI : 10.1109/TPAMI.2004.92.

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

M. Dimitrijevic; S. Ilic; P. Fua

Conference on Computer Vision and Pattern Recognition. DOI : 10.1109/CVPR.2004.1315278.

3D human body tracking using deterministic temporal motion models

R. Urtasun; P. Fua

8th European Conference on Computer Vision, Prague, CZECH REPUBLIC, May 11-14, 2004. p. 92 - 106. DOI : 10.1007/978-3-540-24672-5_8.

3D Tracking for Gait Characterization and Recognition

R. Urtasun; P. Fua

DOI : 10.1109/AFGR.2004.1301503.

Randomized Trees for Real-Time Keypoint Recognition

V. Lepetit; P. Lagger; P. Fua

2004

L. Vacchetti / P. Fua (Dir.)

Lausanne, EPFL, 2004. DOI : 10.5075/epfl-thesis-3114.

Markov-based Silhouette Extraction for Three--Dimensional Body Tracking in Presence of Cluttered Background

A. Shahrokni; T. Drummond; P. Fua

British Machine Vision Conference. p. 17.1 - 17.10. DOI : 10.5244/C.18.17.

Implicit Meshes for Surface Reconstruction

S. Ilic; P. Fua

2004

A Stable Real-Time AR Framework for Training and Planning in Industrial Environments

L. Vacchetti; V. Lepetit; M. Ponder; G. Papagiannakis; D. Thalmann et al.

p. 129 - 146. DOI : 10.1007/978-1-4471-3873-0_8.

Style-based Motion Synthesis

R. Urtasun; P. Glardon; R. Boulic; D. Thalmann; P. Fua

Computer Graphics Forum. 2004. DOI : 10.1111/j.1467-8659.2004.00809.x.

Real-time non-rigid surface detection

J. Pilet; V. Lepetit; P. Fua

2004

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

M. Dimitrijevic; S. Ilic; P. Fua

2004

Monocular 3-D Tracking of the Golf Swing

R. Urtasun; D. Fleet; P. Fua

2004

Fixed Point Probability Field for Occlusion Handling

F. Fleuret; R. Lengagne; P. Fua

2004

Using biomechanical constraints to improve video-based motion capture

L. Herda / P. Fua (Dir.)

Lausanne, EPFL, 2004. DOI : 10.5075/epfl-thesis-2892.

Implicit Meshes Make for Better Silhouettes

S. Ilic; M. Salzmann; P. Fua

2004

Towards Recognizing Feature Points using Classification Trees

V. Lepetit; P. Fua

2004

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

L. Herda; R. Urtasun; P. Fua

2004

Texture Boundary Detection for Real-Time Tracking

A. Shahrokni; T. Drummond; P. Fua

2004.

Stable Real-Time AR Framework for Training and Planning in Industrial Environments

L. Vacchetti; V. Lepetit; G. Papagiannakis; M. Ponder; P. Fua et al.

Virtual and Augmented Reality Applications in Manufacturing; Springer-Verlag, 2004. p. 129 - 145.

2003

Robust tracking and segmentation of human motion in an image sequence

J. J. Gonzalez; L. Ik Soo; P. Fua; D. Thalmann

p. 29 - 32. DOI : 10.1109/ICASSP.2003.1199099.

Robust Data Association For Online Applications

V. Lepetit; A. Shahrokni; P. Fua

DOI : 10.1109/CVPR.2003.1211365.

Articulated Soft Objects for Multi-View Shape and Motion Capture

R. Plankers; P. Fua

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2003. DOI : 10.1109/TPAMI.2003.1227995.

From Explicit to Implicit Surfaces for Visualization, Animation and Modeling

S. Ilic; P. Fua

2003.

Bundle Adjustment for Markerless Body Tracking in Monocular Video Sequences

A. Shahrokni; V. Lepetit; P. Fua

2003.

Fully Automated and Stable Registration for Augmented Reality Applications

V. Lepetit; L. Vacchetti; D. Thalmann; P. Fua

International Symposium on Mixed and Augmented Reality, Tokyo, Japan. DOI : 10.1109/ISMAR.2003.1240692.

Self-consistency and MDL: a paradigm for evaluating point correspondence algorithms and detecting change

Y. G. Leclerc; Q. T. Luong; P. Fua

International Journal of Computer Vision. 2003. DOI : 10.1023/A:1020940807324.

Automatic Determination of Shoulder Joint Limits using Experimentally Determined Quaternion Field Boundaries

L. Herda; R. Urtasun; A. Hanson; P. Fua

International Journal of Robotics Research. 2003. DOI : 10.1177/0278364903022006005.

Stable Real-Time Interaction Between Virtual Humans and Real Scenes

L. Vacchetti; V. Lepetit; G. Papagiannakis; M. Ponder; P. Fua et al.

International Conference on 3-D Digital Imaging and Modeling, Banff, Alberta, Canada. p. 449 - 456. DOI : 10.1109/IM.2003.1240281.

Least Squares Matching Tracking Algorithm for Human Body Modeling

N. D'Apuzzo; A. Gruen; R. Plaenkers; P. Fua

XIX Congress for the International Society for Photogrammetry and Remote Sensing Congress, Amsterdam, Netherlands, 16-23 July 2003.

Visual Golf Club Tracking for Enhanced Swing Analysis Tools

N. Gehrig; V. Lepetit; P. Fua

British Machine Vision Conference, Norwich, UK. p. 47.1 - 47.10. DOI : 10.5244/C.17.47.

Fusing Online and Offline Information for Stable 3D Tracking in Real-Time

L. Vacchetti; V. Lepetit; P. Fua

Conference on Computer Vision and Pattern Recognition, Madison, WI, USA. DOI : 10.1109/CVPR.2003.1211476.

Generic Deformable Implicit Mesh Models for Automated Reconstruction

S. Ilic; P. Fua

ICCV workshop on Higher-Level Knowledge in 3D Modelling and Motion Analysis, Nice, France. p. 29 - 38. DOI : 10.1109/HLK.2003.1240856.

Real-time augmented face

V. Lepetit; L. Vacchetti; D. Thalmann; P. Fua

International Symposium on Mixed and Augmented Reality. p. 346 - 347. DOI : 10.1109/ISMAR.2003.1240753.

Implicit Meshes for Modeling and Reconstruction

S. Ilic; P. Fua

Conference on Computer Vision and Pattern Recognition, Madison, WI. DOI : 10.1109/CVPR.2003.1211506.

2002

Model-Based Silhouette Extraction for Accurate People Tracking

R. Plankers; P. Fua

European Conference on Computer Vision, Copenhagen, Denmark. p. 325 - 339. DOI : 10.1007/3-540-47967-8_22.

An Automatic Method For Determining Quaternion Field Boundaries for Ball-and-Socket Joint Limits

L. Herda; R. Urtasun; A. Hanson; P. Fua

Automated Face and Gesture Recognition, Washington, DC. p. 95 - 100. DOI : 10.1109/AFGR.2002.1004138.

Polyhedral object detection and pose estimation for augmented reality applications

A. Shahrokni; L. Vacchetti; P. Fua

Computer Animation, Geneva, Switzerland. p. 65 - 69. DOI : 10.1109/CA.2002.1017508.

Recovery of Reflectances and Varying Illuminants from Multiple Views

Q. T. Luong; P. Fua; Y. G. Leclerc

European Conference on Computer Vision, Copenhagen, Denmark. p. 163 - 179. DOI : 10.1007/3-540-47977-5_11.

The radiometry of multiple images

Q. T. Luong; P. Fua; Y. G. Leclerc

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002. DOI : 10.1109/34.982882.

Markerless Full Body Shape and Motion Capture from Video Sequences

P. Fua; A. Gruen; N. D'Apuzzo; R. Plankers

2002.

Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data

S. Ilic; P. Fua

European Conference on Computer Vision (ECCV), Copenhagen, Denmark. p. 704 - 717. DOI : 10.1007/3-540-47967-8_47.

2001

Interaction Techniques with Virtual Humans in Mixed Environments

S. Balcisoy; M. Kallmann; R. Torre; P. Fua; D. Thalmann

International Symposium on Mixed Reality, Tokyo, Japan.

Interaction Techniques with Virtual Humans in Mixed Environments

S. Balsicoy; M. Kallmann; R. Torre; P. Fua; D. Thalmann

2001.

Human body modeling from video sequences

R. Plänkers / P. Fua (Dir.)

Lausanne, EPFL, 2001. DOI : 10.5075/epfl-thesis-2493.

On Implicit Modeling for Fitting Purposes

R. Plankers; P. Fua

p. 109 - 119. DOI : 10.1007/978-0-306-47002-8_10.

Incorporating Differential Constraints in the 3D Reconstruction Process : Application to Stereo

R. Lengagne; P. Fua

International Conference on Computer Vision, Vancouver, Canada. p. 573 - 580. DOI : 10.1109/ICCV.2001.937569.

Pascal Fua, Full Professor (original) (raw)

2025

Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates

A novel immersive catheter ablation simulator based on individualized 3D MR patients' heart models improves ablation performance of future electrophysiologists

Vision-based power line cables and pylons detection for low flying aircraft

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

A Latent Implicit 3D Shape Model for Multiple Levels of Detail

Improving Human Pose & Shape Estimation with Explicit and Implicit Priors

MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering

Deep Active Latent Surfaces for Medical Geometries

Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases

Uncertainty in Modern Deep Learning

Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields

2024

Reconstruction of Manipulated Garment with Guided Deformation Prior

No Identity, no problem: Motion through detection for people tracking

CLOAF: CoLlisiOn-Aware Human Flow

Enabling Uncertainty Estimation in Iterative Neural Networks

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

A Closed-Form Pairwise Solution to Local Non-Rigid Structure-from-Motion

Aggregating Spatial and Photometric Context for Photometric Stereo

DeepMesh: Differentiable Iso-Surface Extraction

MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision

Detecting Road Obstacles by Erasing Them

DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization

Incorporating Projective Geometry into Deep Learning

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

2023

Learning for Multi-View Tracking

Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Perspective Aware Road Obstacle Detection

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

Informing Neural Networks with Simplified Physics for Better Flow Prediction

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

Geometrically-Conditioned Point Diffusion Models

Deep Learning for 3D Surface Modelling and Reconstruction

DrapeNet: Garment Generation and Self-Supervised Draping

Topologically Better Delineation of Curvilinear Structures

Multi-view Tracking Using Weakly Supervised Human Motion Prediction

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

LightDepth: Single-View Depth Self-Supervision from Illumination Decline

GECCO: Geometrically-Conditioned Point Diffusion Models

Automated Human Motion Analysis and Synthesis

Detecting Anomalies and Obstacles in Road Scenes

Dense Image-based Predictions for Comics Analysis

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

Improving Object Detection under Domain Shifts

Multi-view Tracking UsingWeakly Supervised Human Motion Prediction

A method and system for enforcing smoothness constraints on surface meshes from a graph convolutional neural network

Two-level Data Augmentation for Calibrated Multi-view Detection

Latent Representation of CFD Meshes and Application to Airfoil Aerodynamics

2022

Overcoming the Domain Gap in Neural Action Representations

Self-supervised Segmentation via Background Inpainting

3D Pose Based Feedback For Physical Exercises

Adversarial Parametric Pose Prior

Weakly Supervised Volumetric Image Segmentation with Deformed Templates

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation

Long Term Motion Prediction Using Keyposes

Generating LOD3 building models from structure-from-motion and semantic segmentation

TOPO-Loss for continuity-preserving crack detection using deep learning

Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging

3D reconstruction of curvilinear structures with stereo matching deep convolutional neural networks

Improving the Training of Compact Neural Networks for Visual Recognition

Learning to Represent and Reconstruct 3D Deformable Objects

Counting People by Estimating People Flows

Encoder-Decoder Models for Human Segmentation and Motion Analysis

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Object Priors for Volumetric Image Segmentation

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

Learning to Simulate Realistic LiDARs

MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks

Learning to Align Sequential Actions in the Wild