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FlowNet: Learning Optical Flow with Convolutional Networks
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2015
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Alexey Dosovitskiy
Philipp Fischer
Eddy Ilg
Philip Häusser
Caner HazÄąrbaĹ
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
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5
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Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
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2019
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Junhwa Hur
Stefan Roth
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5
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PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
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2018
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Deqing Sun
Xiaodong Yang
Ming-Yu Liu
Jan Kautz
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5
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RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
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2020
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Zachary Teed
Jia Deng
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5
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Pyramid Scene Parsing Network
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2017
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Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
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4
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Dynamic Graph CNN for Learning on Point Clouds
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2019
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Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
Michael M. Bronstein
Justin Solomon
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4
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Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation
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2020
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Liang Liu
Jiangning Zhang
Ruifei He
Yong Liu
Yabiao Wang
Ying Tai
Donghao Luo
Chengjie Wang
Jilin Li
Feiyue Huang
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4
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Delving Deeper into Convolutional Networks for Learning Video Representations
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2015
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Nicolas Ballas
Li Yao
Chris Pal
Aaron Courville
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4
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LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
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2018
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Tak-Wai Hui
Xiaoou Tang
Chen Change Loy
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4
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Multi-Scale Context Aggregation by Dilated Convolutions
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2015
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Fisher Yu
Vladlen Koltun
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3
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DDFlow: Learning Optical Flow with Unlabeled Data Distillation
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2019
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Pengpeng Liu
Irwin King
Michael R. Lyu
Xu Jia
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3
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AutoFlow: Learning a Better Training Set for Optical Flow
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2021
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Deqing Sun
Daniel Vlasic
Charles Herrmann
Varun Jampani
Michael Krainin
Huiwen Chang
Ramin Zabih
William T. Freeman
Ce Liu
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3
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UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss
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2018
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Simon Meister
Junhwa Hur
Stefan Roth
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3
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Non-local Neural Networks
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2018
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Xiaolong Wang
Ross Girshick
Abhinav Gupta
Kaiming He
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3
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UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
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2021
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Kunming Luo
Chuan Wang
Shuaicheng Liu
Haoqiang Fan
Jue Wang
Jian Sun
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3
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ASFlow: Unsupervised Optical Flow Learning With Adaptive Pyramid Sampling
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2021
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Shuaicheng Liu
Kunming Luo
Ao Luo
Chuan Wang
Fanman Meng
Bing Zeng
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3
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MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask
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2020
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Shengyu Zhao
Yilun Sheng
Yue Dong
Eric Chang
Yan Xu
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3
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Optical Flow Estimation Using a Spatial Pyramid Network
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2017
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Anurag Ranjan
Michael J. Black
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3
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FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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2017
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Eddy Ilg
N. Michael Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
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3
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Learning Optical Flow with Adaptive Graph Reasoning
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2022
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Ao Luo
Fan Yang
Kunming Luo
Xin Li
Haoqiang Fan
Shuaicheng Liu
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3
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Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
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2019
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Yiran Zhong
Pan Ji
Jianyuan Wang
Yuchao Dai
Hongdong Li
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3
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Occlusion Aware Unsupervised Learning of Optical Flow
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2018
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Yang Wang
Yi Yang
Zhenheng Yang
Liang Zhao
Peng Wang
Wei Xu
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3
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SelFlow: Self-Supervised Learning of Optical Flow
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2019
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Pengpeng Liu
Michael R. Lyu
Irwin King
Xu Jia
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3
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Graph-Based Object Classification for Neuromorphic Vision Sensing
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2019
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Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Yiannis Andreopoulos
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3
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Learning to Estimate Hidden Motions with Global Motion Aggregation
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2021
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Shihao Jiang
Dylan Campbell
Yao Lu
Hongdong Li
Richard Hartley
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3
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Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
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2018
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Huaizu Jiang
Deqing Sun
Varan Jampani
MingâHsuan Yang
Erik Learned-Miller
Jan Kautz
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3
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Videos as Space-Time Region Graphs
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2018
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Xiaolong Wang
Abhinav Gupta
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2
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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Learning feed-forward one-shot learners
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2016
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Luca Bertinetto
JoĂŁo F. Henriques
Jack Valmadre
Philip H. S. Torr
Andrea Vedaldi
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2
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Person Re-identification with Deep Similarity-Guided Graph Neural Network
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2018
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Yantao Shen
Hongsheng Li
Shuai Yi
Dapeng Chen
Xiaogang Wang
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2
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Structure-Measure: A New Way to Evaluate Foreground Maps
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2017
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Deng-Ping Fan
MingâMing Cheng
Yun Liu
Tao Li
Ali Borji
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2
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Pixel-Adaptive Convolutional Neural Networks
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2019
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Hang Su
Varun Jampani
Deqing Sun
Orazio Gallo
Erik Learned-Miller
Jan Kautz
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2
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Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
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2018
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Xiang Wang
Shaodi You
Xi Li
Huimin Ma
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2
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Switching Convolutional Neural Network for Crowd Counting
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2017
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Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
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2
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DecomposeMe: Simplifying ConvNets for End-to-End Learning
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2016
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Jose M. Ălvarez
Lars Petersson
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2
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Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
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2018
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Deng-Ping Fan
MingâMing Cheng
Jiangjiang Liu
Shanghua Gao
Qibin Hou
Ali Borji
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2
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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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2016
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Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
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2
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How Powerful are Graph Neural Networks?
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2018
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Keyulu Xu
Weihua Hu
Jure Leskovec
Stefanie Jegelka
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2
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Fully convolutional networks for semantic segmentation
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2015
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Jonathan Long
Evan Shelhamer
Trevor Darrell
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2
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Learning From Synthetic Data for Crowd Counting in the Wild
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2019
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Qi Wang
Junyu Gao
Wei Lin
Yuan Yuan
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2
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DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
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2019
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Chen Wang
Danfei Xu
Yuke Zhu
Roberto MartĂn-MartĂn
Cewu Lu
Li Fei-Fei
Silvio Savarese
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2
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Learning Rich Features from RGB-D Images for Object Detection and Segmentation
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2014
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Saurabh Gupta
Ross Girshick
Pablo ArbelĂĄez
Jitendra Malik
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2
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Dense Scale Network for Crowd Counting
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2019
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Feng Dai
Hao Liu
Yike Ma
Juan Cao
Qiang Zhao
Yongdong Zhang
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2
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Fast End-to-End Trainable Guided Filter
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2018
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Huikai Wu
Shuai Zheng
Junge Zhang
Kaiqi Huang
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2
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Bi-Directional Cascade Network for Perceptual Edge Detection
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2019
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Jianzhong He
Shiliang Zhang
Ming Yang
Yanhu Shan
Tiejun Huang
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2
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Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
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2020
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Deng-Ping Fan
Lin Zheng
Zhao Zhang
Menglong Zhu
MingâMing Cheng
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2
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Gated Graph Sequence Neural Networks
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2015
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Yujia Li
Daniel Tarlow
Marc Brockschmidt
Richard S. Zemel
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2
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Optical Flow with Semantic Segmentation and Localized Layers
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2016
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Laura Sevilla-Lara
Deqing Sun
Varun Jampani
Michael J. Black
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2
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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2017
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Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
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2
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A Simple Pooling-Based Design for Real-Time Salient Object Detection
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2019
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Jiangjiang Liu
Qibin Hou
MingâMing Cheng
Jiashi Feng
Jianmin Jiang
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2
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