Dual-Resolution Correspondence Networks (original) (raw)

Correspondence Networks With Adaptive Neighbourhood Consensus

Shuda Li

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Dual-Resolution Correspondence Networks –Supplementary Material–

Shuda Li

2020

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Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence

Minsu Cho

arXiv (Cornell University), 2021

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$\mathbb{X}$Resolution Correspondence Networks

Shuda Li

arXiv: Computer Vision and Pattern Recognition, 2020

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XResolution Correspondence Networks

Shuda Li

ArXiv, 2020

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Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning

Yanwei Fu

Proceedings of the 31st ACM International Conference on Multimedia

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SuperNCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching

Grzegorz Kurzejamski

Lecture Notes in Computer Science, 2020

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MCNet: Multiscale Clustering Network for Two-View Geometry Learning and Feature Matching

IEEE/CAA J. Autom. Sinica

IEEE/CAA Journal of Automatica Sinica, 2023

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Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences

Mohammed Fathy

Computer Vision – ECCV 2018, 2018

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SCNet: Learning Semantic Correspondence

Minsu Cho, Kai Han, Jean Ponce

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Learning Semantic Correspondence Exploiting an Object-level Prior

Jean Ponce

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

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Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network

Kacem Chehdi

Sensors, 2022

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There and Back Again: Self-supervised Multispectral Correspondence Estimation

Oscar Mendez

2021 IEEE International Conference on Robotics and Automation (ICRA)

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Semantic Matching by Weakly Supervised 2D Point Set Registration

zakaria laskar

2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

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Convolutional Neural Network Architecture for Geometric Matching

Ignacio Rocco

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019

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CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration

Mahdi Saleh

2021

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Learning Contrastive Representation for Semantic Correspondence

Ming-Hsuan Yang

International Journal of Computer Vision, 2022

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WarpNet: Weakly Supervised Matching for Single-View Reconstruction

Angjoo Kanazawa

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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Learning Dense Correspondence from Synthetic Environments

Nuredin Habili

arXiv (Cornell University), 2022

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Learning to Compose Hypercolumns for Visual Correspondence

Minsu Cho

Computer Vision – ECCV 2020

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LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals

Howard Zhou

arXiv (Cornell University), 2023

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Domain-Invariant Stereo Matching Networks

Benjamin Wah

Lecture Notes in Computer Science, 2020

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CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds

junhui hou

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

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Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features

Minsu Cho

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019

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A Convolutional Attention Residual Network for Stereo Matching

Kanoksak Wattanachote

IEEE Access, 2020

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Scene Coordinate and Correspondence Learning for Image-Based Localization

Mai Bui

2018

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Stereo Object Matching Network

In Kweon

2021 IEEE International Conference on Robotics and Automation (ICRA), 2021

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SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Jean Ponce

arXiv (Cornell University), 2019

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CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence

junhui hou

IEEE Transactions on Circuits and Systems for Video Technology

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Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

Kumail Raza

Computer Science in Cars Symposium

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HDA-Net: Horizontal Deformable Attention Network for Stereo Matching

Edilson Nabarro

Proceedings of the 29th ACM International Conference on Multimedia, 2021

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HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences

Rohit Pandey

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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