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All published works

Action	Title	Year	Authors
+ PDF Chat	6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark	2022	Stephen Tyree Jonathan Tremblay Thang To Jia Cheng Terry Mosier Jeffrey W. Smith Stan Birchfield
+	6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark	2022	Stephen Tyree Jonathan Tremblay Thang To Jia Cheng Terry Mosier Jeffrey W. Smith Stan Birchfield
+ PDF Chat	Camera-to-Robot Pose Estimation from a Single Image	2020	Timothy E. Lee Jonathan Tremblay Thang To Jia Cheng Terry Mosier Oliver Kroemer Dieter Fox Stan Birchfield
+ PDF Chat	Toward Sim-to-Real Directional Semantic Grasping	2020	Shariq Iqbal Jonathan Tremblay Andy Campbell Kirby Leung Thang To Jia Cheng Erik Leitch Duncan McKay Stan Birchfield
+	Camera-to-Robot Pose Estimation from a Single Image	2019	Timothy E. Lee Jonathan Tremblay Thang To Jia Cheng Terry Mosier Oliver Kroemer Dieter Fox Stan Birchfield
+	Toward Sim-to-Real Directional Semantic Grasping	2019	Shariq Iqbal Jonathan Tremblay Thang To Jia Cheng Erik Leitch Andy Campbell Kirby Leung Duncan McKay Stan Birchfield
+	Directional Semantic Grasping of Real-World Objects: From Simulation to Reality.	2019	Shariq Iqbal Jonathan Tremblay Thang To Jia Cheng Erik Leitch Andy Campbell Kirby Leung Duncan McKay Stan Birchfield
+	Camera-to-Robot Pose Estimation from a Single Image	2019	Timothy E. Lee Jonathan Tremblay Thang To Jia Cheng Terry Mosier Oliver Kroemer Dieter Fox Stan Birchfield
+	Toward Sim-to-Real Directional Semantic Grasping	2019	Shariq Iqbal Jonathan Tremblay Thang To Jia Cheng E. M. Leitch Andrew Campbell Kirby Leung Duncan McKay Stan Birchfield
+	Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects	2018	Jonathan Tremblay Thang To Balakumar Sundaralingam Yu Xiang Dieter Fox Stan Birchfield
+ PDF Chat	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield
+ PDF Chat	Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation	2018	Jonathan Tremblay Thang To Stan Birchfield
+ PDF Chat	Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations	2018	Jonathan Tremblay Thang To Artem Molchanov Stephen Tyree Jan Kautz Stan Birchfield
+	Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation	2018	Jonathan Tremblay Thang To Stan Birchfield
+	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield
+	Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects	2018	Jonathan Tremblay Thang To Balakumar Sundaralingam Xiang Yu Dieter Fox Stan Birchfield
+	Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations	2018	Jonathan Tremblay Thang To Artem Molchanov Stephen Tyree Jan Kautz Stan Birchfield
+	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield
+	Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation	2018	Jonathan Tremblay Thang To Stan Birchfield

Common Coauthors

Coauthor	Papers Together
Stan Birchfield	19
Jonathan Tremblay	11
Jonathan Tremblay	8
Terry Mosier	5
Jia Cheng	5
Dieter Fox	5
Shariq Iqbal	4
Stephen Tyree	4
Kirby Leung	4
Jia Cheng	4
Duncan McKay	4
Cem Anil	3
David Acuna	3
Timothy E. Lee	3
Eric Cameracci	3
Shaad Boochoon	3
Andy Campbell	3
Erik Leitch	3
Mark Brophy	3
Varun Jampani	3
Aayush Prakash	3
Oliver Kroemer	3
Jan Kautz	2
Jeffrey W. Smith	2
Balakumar Sundaralingam	2
Artem Molchanov	2
Yu Xiang	1
Andrew Campbell	1
E. M. Leitch	1
Xiang Yu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	7
+	PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes	2018	Xiang Yu Tanner Schmidt Venkatraman Narayanan Dieter Fox	6
+ PDF Chat	Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection	2017	Sergey Levine Peter Pástor Alex Krizhevsky Julian Ibarz Deirdre Quillen	4
+ PDF Chat	UnrealCV: Connecting Computer Vision to Unreal Engine	2016	Weichao Qiu Alan Yuille	4
+ PDF Chat	T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects	2017	Tomáš Hodaň Pavel Haluza Štěpán Obdržálek Jiřı́ Matas Manolis Lourakis Xenophon Zabulis	4
+	Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach	2018	Douglas Morrison Jürgen Leitner Peter Corke	4
+	Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics	2017	Jeffrey Mahler Jacky Liang Sherdil Niyaz Michael Laskey Richard Doan Xinyu Liu Juan Pablo Aparicio Ken Goldberg	4
+ PDF Chat	PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation	2019	Sida Peng Yuan Liu Qixing Huang Xiaowei Zhou Hujun Bao	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+ PDF Chat	Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set	2015	Berk Çallı Aaron Walsman Arjun Singh Siddhartha S Srinivasa Pieter Abbeel Aaron M. Dollar	3
+ PDF Chat	Real-Time Seamless Single Shot 6D Object Pose Prediction	2018	Bugra Tekin Sudipta N. Sinha Pascal Fua	3
+ PDF Chat	Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields	2017	Zhe Cao Tomas Simon Shih-En Wei Yaser Sheikh	3
+ PDF Chat	Segmentation-Driven 6D Object Pose Estimation	2019	Yinlin Hu Joachim Hugonot Pascal Fua Mathieu Salzmann	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
+	3D Simulation for Robot Arm Control with Deep Q-Learning	2016	Stephen James Edward Johns	3
+ PDF Chat	Convolutional Pose Machines	2016	Shih-En Wei Varun Ramakrishna Takeo Kanade Yaser Sheikh	3
+ PDF Chat	A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place	2016	Colin Rennie Rahul Shome Kostas E. Bekris Alberto F. De Souza	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects	2018	Jonathan Tremblay Thang To Balakumar Sundaralingam Xiang Yu Dieter Fox Stan Birchfield	3
+ PDF Chat	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images	2018	Martin Sundermeyer Zoltán-Csaba Márton Maximilian Durner Manuel Brucker Rudolph Triebel	3
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+ PDF Chat	Simple Baselines for Human Pose Estimation and Tracking	2018	Bin Xiao Haiping Wu Yichen Wei	2
+ PDF Chat	CRAVES: Controlling Robotic Arm With a Vision-Based Economic System	2019	Yiming Zuo Weichao Qiu Lingxi Xie Fangwei Zhong Yizhou Wang Alan Yuille	2
+ PDF Chat	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield	2
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	2
+ PDF Chat	Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations	2018	Jonathan Tremblay Thang To Artem Molchanov Stephen Tyree Jan Kautz Stan Birchfield	2
+	Deep reinforcement learning with double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver	2
+	Unity: A General Platform for Intelligent Agents	2018	Arthur Juliani Vincent-Pierre Berges Esh Vckay Yuan Gao Hunter Henry Marwan Mattar Danny B. Lange	2
+ PDF Chat	6-DoF object pose from semantic keypoints	2017	Georgios Pavlakos Xiaowei Zhou Aaron Chan Konstantinos G. Derpanis Kostas Daniilidis	2
+	Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task	2017	Stephen James Andrew J. Davison Edward Johns	2
+ PDF Chat	Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge	2018	D. Morrison A. W. Tow M. McTaggart Robert Smith N. Kelly-Boxall S. Wade-McCue J. Erskine R. Grinover Alan S. Gurman T. Hunn	2
+	Sim-to-Real Reinforcement Learning for Deformable Object Manipulation	2018	Jan Matas Stephen James Andrew J. Davison	2
+	Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies	2017	Fangyi Zhang Jürgen Leitner Zongyuan Ge Michael Milford Peter Corke	2
+ PDF Chat	Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods	2018	Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine	2
+	UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision	2016	Yi Zhang Weichao Qiu Qi Chen Xiaolin Hu Alan Yuille	2
+	Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control	2017	Mengyuan Yan Iuri Frosio Stephen Tyree Jan Kautz	2
+ PDF Chat	Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation	2018	Kuan Fang Yunfei Bai Stefan Hinterstoißer Silvio Savarese Mrinal Kalakrishnan	2
+	DPOD: Dense 6D Pose Object Detector in RGB images	2019	Sergey Zakharov Ivan Shugurov Slobodan Ilić	2
+	Procedural modeling and physically based rendering for synthetic data generation in automotive applications	2017	Apostolia Tsirikoglou Joel Kronander Magnus Wrenninge Jonas Unger	2
+ PDF Chat	Deep High-Resolution Representation Learning for Human Pose Estimation	2019	Ke Sun Bin Xiao Dong Liu Jingdong Wang	2
+	Riemannian Motion Policies.	2018	Nathan Ratliff Jan Issac Daniel Kappler	2
+	SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth	2016	John McCormac Ankur Handa Stefan Leutenegger Andrew J. Davison	2
+	Sim-to-real Transfer of Visuo-motor Policies for Reaching in Clutter: Domain Randomization and Adaptation with Modular Networks.	2017	Fangyi Zhang Jürgen Leitner Michael Milford Peter Corke	2
+	Rethinking on Multi-Stage Networks for Human Pose Estimation.	2019	Wenbo Li Zhicheng Wang Binyi Yin Qixiang Peng Yuming Du Tianzi Xiao Gang Yu Hongtao Lu Yichen Wei Jian Sun	2
+ PDF Chat	Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter	2019	Michael Danielczuk Andrey Kurenkov Ashwin Balakrishna Matthew Matl David Wang Roberto Martin-Martin Animesh Garg Silvio Savarese Ken Goldberg	2
+	Robot Safe Interaction System for Intelligent Industrial Co-Robots	2018	Changliu Liu Masayoshi Tomizuka	2
+	6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality	2017	David Joseph Tan Nassir Navab Federico Tombari	2
+ PDF Chat	Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications	2018	Matthias Müller Vincent Casser Jean Lahoud Neil Smith Bernard Ghanem	2
+ PDF Chat	Semantic Robot Programming for Goal-Directed Manipulation in Cluttered Scenes	2018	Zhen Zeng Zheming Zhou Zhiqiang Sui Odest Chadwicke Jenkins	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2