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Pyramid Stereo Matching Network
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2018
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Jia-Ren Chang
YongâSheng Chen
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9
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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2016
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Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
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8
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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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7
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Unsupervised Learning of Depth and Ego-Motion from Video
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2017
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Tinghui Zhou
Matthew Brown
Noah Snavely
David Lowe
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7
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A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
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2016
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N. Michael Mayer
Eddy Ilg
Philip HĂ€usser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
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7
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Unsupervised Monocular Depth Estimation with Left-Right Consistency
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2017
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Clément Godard
Oisin Mac Aodha
Gabriel Brostow
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7
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GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
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2018
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Zhichao Yin
Jianping Shi
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6
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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6
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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 HĂ€usser
Caner HazırbaĆ
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
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6
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Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
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2019
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Anurag Ranjan
Varun Jampani
Lukas Balles
Kihwan Kim
Deqing Sun
Jonas Wulff
Michael J. Black
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5
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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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5
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Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
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2018
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Zhaoyang Lv
Kihwan Kim
Alejandro Troccoli
Deqing Sun
James M. Rehg
Jan Kautz
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5
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Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
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2018
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Reza Mahjourian
Martin Wicke
Anelia Angelova
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5
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Path Aggregation Network for Instance Segmentation
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2018
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Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
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5
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LEGO: Learning Edge with Geometry all at Once by Watching Videos
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2018
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Zhenheng Yang
Peng Wang
Yang Wang
Wei Xu
Ram Nevatia
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5
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Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
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2020
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Marvin Klingner
Jan-Aike Termöhlen
Jonas Mikolajczyk
Tim Fingscheidt
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5
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DeMoN: Depth and Motion Network for Learning Monocular Stereo
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2017
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Benjamin Ummenhofer
Huizhong Zhou
Jonas Uhrig
N. Michael Mayer
Eddy Ilg
Alexey Dosovitskiy
Thomas Brox
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5
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Digging Into Self-Supervised Monocular Depth Estimation
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2019
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Clément Godard
Oisin Mac Aodha
Michael Firman
Gabriel Brostow
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5
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Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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2014
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David Eigen
Christian Puhrsch
Rob Fergus
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5
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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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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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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4
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GA-Net: Guided Aggregation Net for End-To-End Stereo Matching
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2019
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Feihu Zhang
Victor Adrian Prisacariu
Ruigang Yang
Philip H. S. Torr
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4
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Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
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2015
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Fayao Liu
Chunhua Shen
Guosheng Lin
Ian Reid
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4
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Learning Depth from Monocular Videos Using Direct Methods
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2018
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Chaoyang Wang
José M. Buenaposada
Rui Zhu
Simon Lucey
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4
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Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
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2019
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Vincent Casser
Sören Pirk
Reza Mahjourian
Anelia Angelova
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4
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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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4
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Normal Assisted Stereo Depth Estimation
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2020
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Uday Kusupati
Shuo Cheng
Rui Chen
Hao Su
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4
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Video Instance Segmentation
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2019
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Linjie Yang
Yuchen Fan
Ning Xu
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4
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3D Packing for Self-Supervised Monocular Depth Estimation
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2020
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Vitor Guizilini
RareÈ AmbruÈ
Sudeep Pillai
Allan Raventos
Adrien Gaidon
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4
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End-to-End Learning of Geometry and Context for Deep Stereo Regression
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2017
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Alex Kendall
Hayk Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
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4
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DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency
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2018
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Yuliang Zou
Zelun Luo
JiaâBin Huang
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3
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Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
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2019
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Jia-Wang Bian
Zhichao Li
Naiyan Wang
Huangying Zhan
Chunhua Shen
MingâMing Cheng
Ian Reid
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3
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SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
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2019
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Sudeep Pillai
RareÈ AmbruÈ
Adrien Gaidon
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3
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RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
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2019
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Kiwoo Shin
Youngwook Paul Kwon
Masayoshi Tomizuka
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3
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Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
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2019
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Yuhua Chen
Cordelia Schmid
Cristian Sminchisescu
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3
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UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning
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2018
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Ruihao Li
Sen Wang
Zhiqiang Long
Dongbing Gu
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3
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VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
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2017
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Seokju Lee
Junsik Kim
Jae Shin Yoon
Seunghak Shin
Oleksandr Bailo
Nam Il Kim
Tae-Hee Lee
Hyun Seok Hong
Seung-Hoon Han
In So Kweon
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3
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Playing for Data: Ground Truth from Computer Games
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2016
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Stephan R. Richter
Vibhav Vineet
Stefan Roth
Vladlen Koltun
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3
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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2017
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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3
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Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
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2019
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Ariel Gordon
Hanhan Li
Rico Jonschkowski
Anelia Angelova
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3
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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2015
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Alec Radford
Luke Metz
Soumith Chintala
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3
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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2016
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Justin Johnson
Alexandre Alahi
Li Fei-Fei
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3
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Self-Attention Generative Adversarial Networks
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2018
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Han Zhang
Ian Goodfellow
Dimitris Metaxas
Augustus Odena
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3
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Coupled Generative Adversarial Networks
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2016
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Ming-Yu Liu
Oncel Tuzel
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3
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Learning Independent Object Motion From Unlabelled Stereoscopic Videos
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2019
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Zhe Cao
Abhishek Kar
Christian HĂ€ne
Jitendra Malik
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3
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr DollĂĄr
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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3
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Learning Deep Correspondence through Prior and Posterior Feature Constancy
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2017
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Zhengfa Liang
Yiliu Feng
Yulan Guo
Hengzhu Liu
Linbo Qiao
Wei Chen
L. P. Zhou
Jianfeng Zhang
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3
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
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2017
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Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
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3
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Image-to-Image Translation with Conditional Adversarial Networks
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2017
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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3
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