Stanford Computer Vision Lab : Publications (original) (raw)

(Please cite all of Fei-Fei’s papers with the name L. Fei-Fei.)

2018

Learning Task-Oriented Grasping for Tool Manipulation with Simulated Self-Supervision

RSS 2018

Bedside Computer Vision -- Moving Artificial Intelligence from Driver Assistance to Patient Safety

Serena Yeung, N. Lance Downing, Li Fei-Fei, Arnold Milstein

New England Journal of Medicine 2018

Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation

Nick Haber*, Damian Mrowca*, Li Fei-Fei, Daniel L. K. Yamins

CogSci 2018

Image Generation from Scene Graphs

Justin Johnson, Agrim Gupta, Li Fei-Fei

CVPR 2018

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi

CVPR 2018

Referring Relationships

Ranjay Krishna, Ines Chami, Michael Bernstein, and Li Fei-Fei

CVPR 2018

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets

De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, and Juan Carlos Niebles

CVPR 2018 (spotlight)

Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Video

De-An Huang*, Shyamal Buch*, Lucio Dery, Animesh Garg, Li Fei-Fei, and Juan Carlos Niebles

CVPR 2018 (oral)

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

Danfei Xu*, Suraj Nair*, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese

ICRA 2018

Scaling Human-Object Interaction Recognition through Zero-Shot Learning

Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

WACV 2018

2017

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei

Machine Learning for Health Workshop, NIPS 2017 (Best Workshop Paper Award)

Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios

Michelle Guo, Albert Haque, Serena Yeung, Jeffrey Jopling, Lance Downing, Alexandre Alahi, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei

Machine Learning for Health Workshop, NIPS 2017

Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks

Gabriel M. Bianconi, Rishab Mehra, Serena Yeung, Francesca Salipur, Jeffrey Jopling, Lance Downing, Albert Haque, Alexandre Alahi, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei

Machine Learning for Health Workshop, NIPS 2017

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei

PNAS 2017

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems

James Harrison*, Animesh Garg*, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone

ISRR 2017

Crowd Research: Open and Scalable University Laboratories

Rajan Vaish, Snehalkumar Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael Wilber, Serge Belongie, Sharad C. Goel, James Davis, Michael Bernstein

UIST 2017 (Best Paper Honorable Mention)

Label Efficient Learning of Transferable Representations across Domains and Tasks

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

NIPS 2017

End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos

Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, Juan Carlos Niebles

BMVC 2017 (oral)

Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach

Timnit Gebru, Judy Hoffman, Li Fei-Fei

ICCV 2017

Visual Semantic Planning using Deep Successor Representations

Yuke Zhu*, Daniel Gordon*, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi

ICCV 2017

Dense-Captioning Events in Videos

Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles

ICCV 2017

Inferring and Executing Programs for Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

ICCV 2017 (oral)

Characterizing and Improving Stability in Neural Style Transfer

Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei

ICCV 2017

Adversarially Robust Policy Learning through Active Construction of Physically-Plausible Perturbations

Ajay Mandlekar*, Yuke Zhu*, Animesh Garg*, Li Fei-Fei, Silvio Savarese

IROS 2017

Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance

Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Amit Singh, Jeffrey Jopling, Lance Downing, William Beninati, Terry Platchek, Arnold Milstein, Li Fei-Fei

MLHC 2017

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos

De-An Huang, Joseph J. Lim, Li Fei-Fei, and Juan Carlos Niebles

CVPR 2017

Scene Graph Generation by Iterative Message Passing

Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei

CVPR 2017

Knowledge Acquisition for Visual Question Answering via Iterative Querying

Yuke Zhu, Joseph J. Lim, Li Fei-Fei

CVPR 2017

Learning to learn from noisy web videos

Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

CVPR 2017

SST: Single-Stream Temporal Action Proposals

Shyamal Buch, Victor Escorcia, Chuanqi Shen, Bernard Ghanem, Juan Carlos Niebles

CVPR 2017

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

CVPR 2017

A Hierarchical Approach for Generating Descriptive Image Paragraphs

Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei

CVPR 2017 (spotlight)

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei

CVPR 2017

Jointly Learning Energy Expenditures and Activities using Egocentric Multimodal Signals

Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei

CVPR 2017

Tracking Millions of Humans in Crowded Space

Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

Group and Crowd Behavior for Computer Vision

Learning to Predict Human Behaviour in Crowded Scenes

Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir Abbas Sadeghian, Li Fei-Fei, Silvio Savarese

Group and Crowd Behavior for Computer Vision

Fine-Grained Car Detection for Visual Census Estimation

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei

AAAI 2017

Scalable Annotation of Fine-Grained Objects Without Experts

Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei

CHI 2017

Unsupervised Camera Localization in Crowded Spaces

Alexandre Alahi, Judson Wilson, Li Fei-Fei, Silvio Savarese

ICRA 2017

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi

ICRA 2017

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li Jia-Li, David Ayman Shamma, Michael Bernstrein, Li Fei-Fei

IJCV 2017

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy

Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael Bernstein

CSCW 2017

2016

Vision-Based Classification of Developmental Disorders Using Eye-Movements

Guido Pusiol, Andre Esteva, Scott S. Hall, Michael Frank, Arnold Milstein, Li Fei-Fei

MICCAI 2016

Visual Relationship Detection with Language Priors

Cewu Lu*, Ranjay Krishna*, Michael Bernstein, Li Fei-Fei

ECCV 2016 (oral)

Connectionist Temporal Modeling for Weakly Supervised Action Labeling

De-An Huang, Li Fei-Fei, Juan Carlos Niebles

ECCV 2016

Towards Viewpoint Invariant 3D Human Pose Estimation

Albert Haque, Boya Peng*, Zelun Luo*, Alexandre Alahi, Serena Yeung, Li Fei-Fei

ECCV 2016

Perceptual Losses for Real-time Style Transfer and Single Image Super-Resolution

Justin Johnson, Alexandre Alahi, and Li Fei-Fei

ECCV 2016

What's the point: Semantic segmentation with point supervision

Amy Bearman, Olga Russakovsky, Vittorio Ferrari and Li Fei-Fei

ECCV 2016

The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition

Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei

ECCV 2016

Visualizing and Understanding Recurrent Networks

Andrej Karpathy*, Justin Johnson*, Li Fei-Fei

ICLR 2016 Workshop

Recurrent Attention Models for Depth-Based Person Identification

Albert Haque, Alexandre Alahi, Li Fei-Fei

CVPR 2016

End-to-end Learning of Action Detection from Frame Glimpses in Videos

Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

CVPR 2016

Social LSTM: Human Trajectory Prediction in Crowded Spaces

Alexandre Alahi*, Kratarth Goel*, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese

CVPR 2016 (spotlight)

Detecting Events and Key Actors in Multi-person Videos

Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

CVPR 2016 (oral)

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

Justin Johnson*, Andrej Karpathy*, Li Fei-Fei

CVPR 2016 (oral)

Visual7W: Grounded Question Answering in Images

Yuke Zhu, Oliver Groth, Michael Bernstein, Li Fei-Fei

CVPR 2016

Human-object Interactions are More than the Sum of Their Parts

Christopher Baldassano, Diane M. Beck, Li Fei-Fei

Cerebral Cortex 2016

Typicality Sharpens Category Representations in Object-Selective Cortex

Marius Cătălin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei

Neuroimage 2016

Embracing Error to Enable Rapid Crowdsourcing

Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein

CHI: ACM Conference on Human Factors in Computing Systems, 2016

Estimations of Object Frequency are Frequently Overestimated

Michelle R. Greene

Cognition 2016

Visual Scenes Are Categorized by Function

Michelle R. Greene, Christopher Baldassano, Diane M. Beck, Li Fei-Fei

Journal of Experimental Psychology: General 2016

Towards More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls

Marie E. Vachovsky, Grace Wu, Sorathan Chaturapruek, Olga Russakovsky, Rick Sommer, Li Fei-Fei

SIGCSE 2016

2015

What You See is What You Expect: Rapid Scene Understanding Benefits from Prior Experience

Michelle R. Greene, Abraham P. Botros, Diane M. Beck, Li Fei-Fei

Attention, Perception, & Psychophysics 2015

Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval

Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, Christopher D. Manning

Empirical Methods in Natural Language Processing (EMNLP) - Vision and Language Workshop 2015 (oral)

Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions

Marius Cătălin Iordan, Armand Joulin, Diane M. Beck, Li Fei-Fei

Machine Learning and Interpretation in Neuroimaging (MLINI) Workshop, NIPS 2015

RGB-W: When Vision Meets Wireless

Alexandre Alahi, Albert Haque, Li Fei-Fei

ICCV 2015

Improving Image Classification with Location Context

Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev

ICCV 2015

Learning temporal embeddings for complex video analysis

Vignesh Ramanathan, Kevin Tang, Greg Mori and Li Fei-Fei

ICCV 2015

Love Thy Neighbors: Image Annotation by Exploiting Image Metadata

Justin Johnson*, Lamberto Ballan*, Li Fei-Fei

ICCV 2015

Image Retrieval using Scene Graphs

Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Ayman Shamma, Michael Bernstein, Li Fei-Fei

CVPR 2015

Deep Visual-Semantic Alignments for Generating Image Descriptions

Andrej Karpathy, Li Fei-Fei

CVPR 2015 (oral)

Fine-Grained Recognition without Part Annotations

Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei

CVPR 2015

Best of both worlds: human-machine collaboration for dense object annotation

Olga Russakovsky, Li-Jia Li, Li Fei-Fei

CVPR 2015

Parcellating connectivity in spatial maps

Christopher Baldassano, Diane M. Beck, Li Fei-Fei

PeerJ 2015

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky*, Jia Deng*, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, Li Fei-Fei

IJCV 2015

Basic Level Category Structure Emerges Gradually Across Human Ventral Visual Cortex

Marius Cătălin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei

Journal of Cognitive Neuroscience 2015

2014

Deep Fragment Embeddings for Bidirectional Image-Sentence Mapping

Andrej Karpathy, Armand Joulin, Li Fei-Fei

NIPS 2014

Joint person naming in videos and coreference resolution in text

Vignesh Ramanathan, Armand Joulin, Percy Liang and Li Fei-Fei

ECCV 2014

Reasoning About Object Affordances in a Knowledge Base Representation

Yuke Zhu, Alireza Fathi, and Li Fei-Fei

ECCV 2014

Efficient Image and Video Co-localization with Frank-Wolfe Algorithm

Armand Joulin*, Kevin Tang*, Li Fei-Fei

ECCV 2014

Discovering the Signatures of Joint Attention in Child-Caregiver Interaction

Pusiol, G., Soriano, L., Fei-Fei, L., Frank, M. C.

CogSci 2014

Large-Scale Video Classification with Convolutional Neural Networks

Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei

CVPR 2014 (oral)

Socially-aware Large-scale Crowd Forecasting

Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei

CVPR 2014 (oral)

Co-localization in Real-World Images

Kevin Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei

CVPR 2014

Scalable Multi-Label Annotation

Jia Deng, Olga Russakovsky, Jonathan Krause, Michael Bernstein, Alexander C. Berg and Li Fei-Fei.

CHI 2014

Visual Categorization is Automatic and Obligatory: Evidence from a Stroop-like Paradigm

Michelle Greene, Li Fei-Fei

Journal of Vision, 2014

Learning Features and Parts for Fine-Grained Recognition

Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei

ICPR, 2014

2013

Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion

Axel Furlan, Stephen Miller, Domenico Giorgio Sorrenti, Li Fei-Fei, Silvio Savarese

BMVC 2013

3D Object Representations for Fine-Grained Categorization

Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

ICCV 2013, Workshop on 3D Representation and Recognition

Combining the Right Features for Complex Event Recognition

Kevin Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller

ICCV 2013

Video Event Understanding using Natural Language Descriptions

Vignesh Ramananthan, Percy Liang, and Li Fei-Fei

ICCV 2013

Detecting avocados to zucchinis: what have we done, and where are we going?

O. Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg and Li Fei-Fei

ICCV 2013

Discovering Object Functionality

B. Yao, J. Ma, and L. Fei-Fei

ICCV 2013

Object Bank: An Object-Level Image Representation for High-Level Visual Recognition

L.-J. Li and H. Su and Y. Lim and L. Fei-Fei

IJCV 2013

Fine-Grained Crowdsourcing for Fine-Grained Recognition

J. Deng, J. Krause, and L. Fei-Fei

CVPR 2013 (oral)

Social Role Discovery in Human Events

V. Ramanathan, B. Yao, and L. Fei-Fei

CVPR 2013 (oral)

Discriminative Segment Annotation in Weakly Labeled Video

K. Tang, R. Sukthankar, J. Yagnik, and L. Fei-Fei

CVPR 2013 (oral)

Good Exemplars of Natural Scene Categories Elicit Clearer Patterns than Bad Exemplars but not Greater BOLD Activity

A. Torralbo, D.B. Walther, B. Chai, E. Caddigan, L. Fei-Fei, and D.M. Beck

PLoS ONE. 2013 (Article)

Differential Connectivity Within the Parahippocampal Place Area

C. Baldassano, D.M. Beck, and L. Fei-Fei

NeuroImage 2013

Object Discovery in 3D Scenes via Shape Analysis

A. Karpathy, S. Miller, and L. Fei-Fei

ICRA 2013 (oral)

2012

Shifting Weights: Adapting Object Detectors from Image to Video

K. Tang, V. Ramanathan, L. Fei-Fei, and D. Koller

NIPS 2012

Discovering Voxel-Level Connectivity Between Cortical Regions

Christopher Baldassano, Marius Cătălin Iordan, Diane M. Beck, Li Fei-Fei

Machine Learning and Interpretation in Neuroimaging (MLINI) Workshop, NIPS 2012

Object-centric spatial pooling for image classification

O. Russakovsky, Y. Lin, K. Yu, and L. Fei-Fei

ECCV 2012

Action Recognition with Exemplar Based 2.5D Graph Matching

B. Yao and L. Fei-Fei

ECCV 2012 (oral)

Voxel-Level Functional Connectivity using Spatial Regularization

Christopher Baldassano, Marius Cătălin Iordan, Diane M. Beck, and Li Fei-Fei

NeuroImage 2012

Crowdsourcing Annotations for Visual Object Detection

H. Su, J. Deng, and L. Fei-Fei

AAAI Human Computation Workshop 2012

Web Image Prediction Using Multivariate Point Processes

G. Kim, L. Fei-Fei, and E. Xingi

KDD 2012

Efficient Euclidean Projections onto the Intersection of Norm Balls

H. Su*, A. Yu*, and L. Fei-Fei

ICML 2012

A Codebook-Free and Annotation-Free Approach for Fine-Grained Image Categorization

B. Yao, G. Bradski, and L. Fei-Fei

ICML 2012

Learning Latent Temporal Structure for Complex Event Detection

K. Tang, L. Fei-Fei, and D. Koller

CVPR 2012

Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition

J. Deng, J. Krause, A. Berg, and L. Fei-Fei

CVPR 2012

Recognizing Human Actions in Still Images by Modeling the Mutual Context of Objects and Human Poses

B. Yao and L. Fei-Fei

PAMI 2012

2011

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition

J. Deng, S. Satheesh, A. C. Berg, and L. Fei-Fei

NIPS 2011

Large-Scale Category Structure Aware Image Categorization

B. Zhao, L. Fei-Fei and E. Xing

NIPS 2011

Human Action Recognition by Learning Bases of Action Attributes and Parts

B. Yao, X. Jiang, A. Khosla, A.L. Lin, L.J. Guibas, and L. Fei-Fei

ICCV 2011

Distributed cosegmentation vis submodular optimization on anisotropic diffusion

G. Kim, E.P. Xing, L. Fei-Fei, and T. Kanade

ICCV 2011

ReV ReVision: Automated Classification, Analysis and Redesign of Chart Imagesision: Automated Classification, Analysis and Redesign of Chart Images

M. Savva, N. Kong, A. Chhajta, L. Fei-Fei, M. Agrawala, and J. Heer

UIST 2011

Classifying Actions and Measuring Action Similarity by Modeling the Mutual Context of Objects and Human Poses

B. Yao, A. Khosla, and L. Fei-Fei

ICML 2011

Simple line drawings suffice for functional MRI decoding of natural scene categories

D. B. Walther, B. Chai, E. Caddigan, D. M. Beck and L. Fei-Fei

PNAS 2011

Hierarchical Semantic Indexing for Large Scale Image Retrieval

J. Deng, A. Berg, and L. Fei-Fei

CVPR 2011

Combining Randomization and Discrimination for Fine-Grained Image Categorization

B. Yao*, A. Khosla*, and L. Fei-Fei

CVPR 2011

Online Detection of Unusual Events in Videos via Dynamic Sparse Coding

B. Zhao, L. Fei-Fei, and E.P. Xing

CVPR 2011

2010

Object Bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification

L.-J. Li*, H. Su*, E.P. Xing and L. Fei-Fei

NIPS 2010

Large Margin Learning of Upstream Scene Understanding Models

J. Zhu, L.-J. Li, L. Fei-Fei and E.P. Xing

NIPS 2010

What does classifying more than 10,000 image categories tell us?

J. Deng, A. Berg, K. Li and L. Fei-Fei

ECCV 2010

Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification

J. C. Niebles, C.-W. Chen and L. Fei-Fei

ECCV 2010

Image Segmentation with Topic Random Fields

B. Zhao, L. Fei-Fei and E. P. Xing

ECCV 2010

Objects as Attributes for Scene Classification

L.J. Li*, H. Su*, Y. Lim and L. Fei-Fei

ECCV 2010 workshop on Parts and Attributes

Attribute learning in large-scale datasets

O. Russakovsky and L. Fei-Fei

Parts and Attributes Workshop at ECCV 2010

Learning object categories from Internet image searches

R. Fergus, L. Fei-Fei, P. Perona and A. Zisserman

Proc. Of IEEE, Special Issue on Internet Vision 2010

What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization

L. Fei-Fei and L.-J. Li

Book chapter in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010

Multi-view Object Categorization and Pose Estimation

S. Savarese, and L. Fei-Fei

Book chapter in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010

To err is human: investigating neural function by correlating error patterns with human behavior

D. B. Walther, D. M. Beck, and L. Fei-Fei

MIT Press, Cambridge, Massachusetts. 2010

Grouplet: a Structured Image Representation for Recognizing Human and Object Interactions

B. Yao and L. Fei-Fei

CVPR 2010 (oral)

Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities

B. Yao and L. Fei-Fei

CVPR 2010 (oral)

Building and Using a Semantivisual Image Hierarchy

Li-Jia Li*, Chong Wang*, Yongwhan Lim, David Blei and Li Fei-Fei

CVPR 2010

Efficient Extraction of Human Motion Volumes by Tracking

J. C. Niebles, B. Han and L. Fei-Fei

CVPR 2010

Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora

R. Socher and L. Fei-Fei

CVPR 2010

2009

Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions

B. Yao, D.B. Walther, D.M. Beck*, L. Fei-Fei*

NIPS 2009

Exploring Functional Connectivity of the Human Brain using Multivariate Information Analysis

B. Chai†, D.B. Walther†, D.M. Beck*, L. Fei-Fei*

NIPS 2009

OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning

L.-J. Li and L. Fei-Fei

IJCV 2009

Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories

H. Su*, M. Sun*, L. Fei-Fei and S. Savarese

ICCV 2009

Neural mechanisms of rapid natural scene categorization in human visual cortex

Peelen, Marius V. and Fei-Fei, Li and Kastner, Sabine

Nature 2009

Natural scene categories revealed in distributed patterns of activity in the human brain

D.B. Walther, E. Caddigan, L. Fei-Fei*, D.M. Beck*

Journal of Neuroscience, 2009

Towards Total Scene Understanding:Classification, Annotation and Segmentation in an Automatic Framework

L.-J. Li, R. Socher and L. Fei-Fei

CVPR 2009 (oral)

Simultaneous Image Classification and Annotation

Chong Wang, David Blei and L. Fei-Fei

CVPR 2009

ImageNet: A Large-Scale Hierarchical Image Database

J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei

CVPR 2009

A Multi-View Probabilistic Model for 3D Object Classes

*M. Sun, *H. Su, S. Savarese and L. Fei-Fei

CVPR 2009

2008

Extracting Moving People from Internet Videos

J.C. Niebles, B. Han, A. Ferencz and L. Fei-Fei

ECCV 2008

Towards scalable dataset construction: An active learning approach

B.Collins, J. Deng, L. Kai and L. Fei-Fei

ECCV 2008

View synthesis for recognizing unseen poses of object classes.

S.Savarese and L. Fei-Fei

ECCV 2008

Unsupervised learning of human action categories using spatial-temporal words

J.C. Niebles, H. Wang and L. Fei-Fei.

IJCV 2008

Spatial-temporal correlations for unsupervised action classification

S. Savarese, A. Del Pozo, J.C. Niebles and L. Fei-Fei.

IEEE Workshop on Motion and Video Computing, 2008

2007

3D generic object categorization, localization and pose estimation

S. Savarese and L. Fei-Fei

ICCV 2007

What, where and who? Classifying event by scene and object recognition

L.-J. Li and L. Fei-Fei.

ICCV 2007

Spatially coherent latent topic model for concurrent object segmentation and classification

L. Cao and L. Fei-Fei.

ICCV 2007

Task-set switching with natural scenes: Measuring the cost of deploying top-down attention.

D. Walther and L. Fei-Fei.

Journal of Vision 2007

OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning.

L.-J. Li, G. Wang and L. Fei-Fei.

CVPR 2007

A hierarchical model model of shape and appearance for human action classification.

J. C. Niebles and L. Fei-Fei.

CVPR 2007

Learning generative visual models for 101 object categories.

L. Fei-Fei, R. Fergus and P. Perona.

Computer Vision and Image Understanding, 2007

What do we perceive in a glance of a real-world scene?

Fei-Fei, L., Iyer, A., Koch, C., Perona, P.

Journal of Vision, 2007

2006

Unsupervised learning of human action categories using spatial-temporal words

J.C. Niebles, H. Wang, L. Fei-Fei.

BMVC 2006

Knowledge transfer in learning to recognize visual object classes.

L. Fei-Fei.

ICDL 2006

Using dependent regions for object categorization in a generative framework.

G. Wang, Y. Zhang, and L. Fei-Fei.

CVPR 2006

One-Shot learning of object categories

L. Fei-Fei, R. Fergus and P. Perona

PAMI 2006

2005

Binding is local problem for natural objects and scenes.

R. VanRullen, L. Reddy and L. Fei-Fei.

Vision Research, 2005

Why does natural scene categorization require little attention? Exploring attentional requirements for natural and synthetic stimuli.

L. Fei-Fei, R. VanRuellen, C. Koch and P. Perona.

Vision Cognition, 2005

Learning Object Categories from Google's Image Search

R. Fergus, L. Fei-Fei, P. Perona and A. Zisserman

ICCV 2005

A Bayesian Hierarchical Model for Learning Natural Scene Categories

L. Fei-Fei and P. Perona

CVPR 2005

2004 and before

Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories

L. Fei-Fei, R. Fergus, and P. Perona.

CVPR 2004 Workshop on Generative-Model Based Vision

A Bayesian approach to unsupervised One-Shot learning of Object categories

L. Fei-Fei, R. Fergus, and P. Perona

ICCV 2003

What do reflections tell us about the shape of a mirror?

S. Savarese, L. Fei-Fei, and P. Perona

Applied Perception in Graphics and Visualization 2004

Rapid natural scene categorization in the near absence of attention

F.F. Li, R. VanRullen, C. Koch and P. Perona

Proc. Natl. Acad. Sci. 99

Reconstruction of natural scenes from ensemble responses in the LGN.

G.B. Stanley, F.F. Li, and Y. Dan

Journal of Neuroscience, 1999

Dissertations

Fine-Grained Recognition: Data, Recognition, and Application.

Jonathan Krause

Stanford University. PhD Thesis. 2016

Connecting Images and Natural Language.

Andrej Karpathy

Stanford University. PhD Thesis. 2016

Human-Centric Video Understanding with Weak Supervision.

Vignesh Ramanathan

Stanford University. PhD Thesis. 2016

Uncovering the Neural Representation of Multiple Dimensions of Object Categorization in Human Visual Cortex.

Marius Cătălin Iordan

Stanford University. PhD Thesis. 2016

Visual Genome: Crowdsourced Visual Knowledge Representations.

Ranjay Krishna

Stanford University. Masters Thesis. 2016 [Christofer Stephenson Memorial Award]

Scaling up object detection.

Olga Russakovsky

Stanford University. PhD Thesis. 2015

Visual scene perception in the human brain: connections to memory, categorization, and social cognition.

Chris Baldassano

Stanford University. PhD Thesis. 2015

Visual learning with weakly labeled video.

Kevin Tang

Stanford University. PhD Thesis. 2015

Understanding human actions in still images.

Bangpeng Yao

Stanford University. PhD Thesis. 2013

Large scale visual recognition.

Jia Deng

Princeton University. PhD Thesis. 2012

Semantic image understanding: from the web, in large scale, with real-world challenging data.

Jia Li

Stanford University. PhD Thesis. 2011

Extracting moving people and categorizing their activities in video.

Juan Carlos Niebles

Princeton University. PhD Thesis. 2011

Visual recognition: computational models and human psychophysics.

L. Fei-Fei

California Insitute of Technology. PhD Thesis. 2005