Clément Godard

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All published works

Action	Title	Year	Authors
+ PDF Chat	Quark: Real-time, High-resolution, and General Neural View Synthesis	2024	John T. Flynn Michael Broxton Lukas Murmann Lucy Chai Matthew DuVall Clément Godard K. M. Heal Srinivas Kaza Stephen Lombardi Xuan Luo
+	SimpleRecon: 3D Reconstruction Without 3D Convolutions	2022	Mohamed Sayed John Gibson J.S. Watson Victor Adrian Prisacariu Michael Firman Clément Godard
+ PDF Chat	Digging Into Self-Supervised Monocular Depth Estimation	2019	Clément Godard Oisin Mac Aodha Michael Firman Gabriel Brostow
+	Digging Into Self-Supervised Monocular Depth Estimation	2018	Clément Godard Oisin Mac Aodha Michael Firman Gabriel Brostow
+	Deep Burst Denoising	2017	Clément Godard Kevin Matzen Matt Uyttendaele
+ PDF Chat	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2017	Clément Godard Oisin Mac Aodha Gabriel Brostow
+	Deep Burst Denoising	2017	Clément Godard Kevin Matzen Matt Uyttendaele
+	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2016	Clément Godard Oisin Mac Aodha Gabriel Brostow
+	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2016	Clément Godard Oisin Mac Aodha Gabriel Brostow

Common Coauthors

Coauthor	Papers Together
Gabriel Brostow	5
Oisin Mac Aodha	5
Michael Firman	3
Kevin Matzen	2
Matt Uyttendaele	2
Matthew DuVall	1
Lucy Chai	1
Stephen Lombardi	1
Michael Broxton	1
Ryan Overbeck	1
Srinivas Kaza	1
Supreeth Achar	1
Victor Adrian Prisacariu	1
K. M. Heal	1
Lukas Murmann	1
John Gibson	1
Mohamed Sayed	1
J.S. Watson	1
Kira Prabhu	1
Xuan Luo	1
Lynn Tsai	1
John T. Flynn	1
Tiancheng Sun	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	3
+ PDF Chat	Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields	2015	Fayao Liu Chunhua Shen Guosheng Lin Ian Reid	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	3
+ PDF Chat	Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling	2014	Kevin Karsch Ce Liu Sing Bing Kang	3
+ PDF Chat	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation	2016	N. Michael Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox	3
+ PDF Chat	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture	2015	David Eigen Rob Fergus	3
+ PDF Chat	Deeper Depth Prediction with Fully Convolutional Residual Networks	2016	Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab	3
+	Spatio-temporal video autoencoder with differentiable memory	2015	Viorica Pătrăucean Ankur Handa Roberto Cipolla	2
+	Single-Image Depth Perception in the Wild	2016	Weifeng Chen Fu Zhao Dawei Yang Jia Deng	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	2
+ PDF Chat	Deep learning for detecting robotic grasps	2015	Ian Lenz Honglak Lee Ashutosh Saxena	2
+ PDF Chat	Automatic Scene Inference for 3D Object Compositing	2014	Kevin Karsch Kalyan Sunkavalli Sunil Hadap Nathan Carr Hailin Jin Rafael Fonte Michael Sittig David Forsyth	2
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	2
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	2
+ PDF Chat	Learning Dense Correspondence via 3D-Guided Cycle Consistency	2016	Tinghui Zhou Philipp Krähenbühl Mathieu Aubry Qixing Huang Alexei A. Efros	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue	2016	Ravi Garg Vijay Kumar Bg Gustavo Carneiro Ian Reid	2
+	Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches	2015	Jure Žbontar Yann LeCun	2
+ PDF Chat	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2017	Clément Godard Oisin Mac Aodha Gabriel Brostow	2
+ PDF Chat	Designing deep networks for surface normal estimation	2015	Xiaolong Wang David F. Fouhey Abhinav Gupta	2
+	Learning the Matching Function	2015	Lubor Ladický Christian Häne Marc Pollefeys	2
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	2
+	Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency	2017	Zhenheng Yang Peng Wang Wei Xu Liang Zhao Ramakant Nevatia	1
+	Size-to-depth: A New Perspective for Single Image Depth Estimation	2018	Yiran Wu Sihao Ying Lianmin Zheng	1
+ PDF Chat	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?	2018	N. Michael Mayer Eddy Ilg Philipp Fischer Caner Hazırbaş Daniel Cremers Alexey Dosovitskiy Thomas Brox	1
+	Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints	2018	Reza Mahjourian Martin Wicke Anelia Angelova	1
+	LEGO: Learning Edge with Geometry all at Once by Watching Videos	2018	Zhenheng Yang Peng Wang Yang Wang Wei Xu Ram Nevatia	1
+	Single View Stereo Matching	2018	Yue Luo Jimmy Ren Mude Lin Jiahao Pang Wenxiu Sun Hongsheng Li Liang Lin	1
+	Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction	2018	Huangying Zhan Ravi Garg Chamara Saroj Weerasekera Kejie Li Harsh Agarwal Ian Reid	1
+	GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose	2018	Zhichao Yin Jianping Shi	1
+ PDF Chat	Self-Supervised Relative Depth Learning for Urban Scene Understanding	2018	Huaizu Jiang Gustav Larsson Michael Maire Greg Shakhnarovich Erik Learned-Miller	1
+	Deep Ordinal Regression Network for Monocular Depth Estimation	2018	Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao	1
+	Pixel-wise Attentional Gating for Parsimonious Pixel Labeling	2018	Shu Kong Charless C. Fowlkes	1
+ PDF Chat	Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry	2018	Nan Yang Rui Wang Jörg Stückler Daniel Cremers	1
+	Deep attention-based classification network for robust depth prediction	2018	Ruibo Li Ke Xian Chunhua Shen Zhiguo Cao Hao Lü Lingxiao Hang	1
+ PDF Chat	Learning Monocular Depth by Distilling Cross-Domain Stereo Networks	2018	Xiaoyang Guo Hongsheng Li Shuai Yi Jimmy Ren Xiaogang Wang	1
+ PDF Chat	Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions	2018	Matteo Poggi Fabio Tosi Stefano Mattoccia	1
+ PDF Chat	DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency	2018	Yuliang Zou Zelun Luo Jia‐Bin Huang	1
+	Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding	2018	Chenxu Luo Zhenheng Yang Peng Wang Yang Wang Wei Xu Ram Nevatia Alan Yuille	1
+	Learning Monocular Depth by Distilling Cross-domain Stereo Networks	2018	Xiaoyang Guo Hongsheng Li Shuai Yi Jimmy Ren Xiaogang Wang	1
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Virtual Worlds as Proxy for Multi-Object Tracking Analysis	2016	Adrien Gaidon Qiao Wang Yohann Cabon Eleonora Vig	1
+	View Synthesis by Appearance Flow	2016	Tinghui Zhou Shubham Tulsiani Weilun Sun Jitendra Malik Alexei A. Efros	1
+	End-to-End Learning of Geometry and Context for Deep Stereo Regression	2017	Alex Kendall Hayk Martirosyan Saumitro Dasgupta Peter Henry Ryan Kennedy Abraham Bachrach Adam Bry	1
+	Unsupervised Learning of Depth and Ego-Motion from Video	2017	Tinghui Zhou Matthew Brown Noah Snavely David Lowe	1
+	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox	1
+	Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry	2018	Nan Yang Rui Wang Jörg Stückler Daniel Cremers	1
+	DeepStereo: Learning to Predict New Views from the World's Imagery	2015	John P. Flynn Ivan Neulander James Philbin Noah Snavely	1
+ PDF Chat	Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks	2017	Yuanzhouhan Cao Zifeng Wu Chunhua Shen	1