Jonathan Tremblay

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All published works
Action Title Year Authors
+ PDF Chat HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions 2023 Andrew Guo
Bowen Wen
Jianhe Yuan
Jonathan Tremblay
Stephen Tyree
Jeffrey Smith
Stan Birchfield
+ HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions 2023 Andrew Guo
Bowen Wen
Jianhe Yuan
Jonathan Tremblay
Stephen Tyree
Jeffrey Smith
Stan Birchfield
+ Diff-DOPE: Differentiable Deep Object Pose Estimation 2023 Jonathan Tremblay
Bowen Wen
Valts Blukis
Balakumar Sundaralingam
Stephen Tyree
Stan Birchfield
+ PDF Chat Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image 2022 Yunzhi Lin
Jonathan Tremblay
Stephen Tyree
Patricio A. Vela
Stan Birchfield
+ PDF Chat Multi-view Fusion for Multi-level Robotic Scene Understanding 2021 Yunzhi Lin
Jonathan Tremblay
Stephen Tyree
Patricio A. Vela
Stan Birchfield
+ PDF Chat Joint Space Control via Deep Reinforcement Learning 2021 Visak Kumar
David Hoeller
Balakumar Sundaralingam
Jonathan Tremblay
Stan Birchfield
+ PDF Chat DexYCB: A Benchmark for Capturing Hand Grasping of Objects 2021 Yu-Wei Chao
Wei Yang
Xiang Yu
Pavlo Molchanov
Ankur Handa
Jonathan Tremblay
Yashraj Narang
Karl Van Wyk
Umar Iqbal
Stan Birchfield
+ PDF Chat Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs 2021 Yifeng Zhu
Jonathan Tremblay
Stan Birchfield
Yuke Zhu
+ PDF Chat Fast Uncertainty Quantification for Deep Object Pose Estimation 2021 Guanya Shi
Yifeng Zhu
Jonathan Tremblay
Stan Birchfield
Fábio Ramos
Animashree Anandkumar
Yuke Zhu
+ NViSII: A Scriptable Tool for Photorealistic Image Generation 2021 Nathan Morrical
Jonathan Tremblay
Yunzhi Lin
Stephen Tyree
Stan Birchfield
Valerio Pascucci
Ingo Wald
+ DexYCB: A Benchmark for Capturing Hand Grasping of Objects 2021 Yu-Wei Chao
Wei Yang
Xiang Yu
Pavlo Molchanov
Ankur Handa
Jonathan Tremblay
Yashraj Narang
Karl Van Wyk
Umar Iqbal
Stan Birchfield
+ Joint Space Control via Deep Reinforcement Learning. 2020 Visak Kumar
David Hoeller
Balakumar Sundaralingam
Jonathan Tremblay
Stan Birchfield
+ PDF Chat Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera 2020 Jonathan Tremblay
Stephen Tyree
Terry Mosier
Stan Birchfield
+ Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera 2020 Jonathan Tremblay
Stephen Tyree
Terry Mosier
Stan Birchfield
+ Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning 2020 Michelle A. Lee
Carlos Florensa
Jonathan Tremblay
Nathan Ratliff
Animesh Garg
Fábio Ramos
Dieter Fox
+ 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
+ PDF Chat Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning 2020 Michelle A. Lee
Carlos Florensa
Jonathan Tremblay
Nathan Ratliff
Animesh Garg
Fábio Ramos
Dieter Fox
+ PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data 2020 Zheng Tang
Milind Naphade
Stan Birchfield
Jonathan Tremblay
William Hodge
Ratnesh Kumar
Shuo Wang
Xiaodong Yang
+ Fast Uncertainty Quantification for Deep Object Pose Estimation 2020 Guanya Shi
Yifeng Zhu
Jonathan Tremblay
Stan Birchfield
Fábio Ramos
Animashree Anandkumar
Yuke Zhu
+ Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs 2020 Yifeng Zhu
Jonathan Tremblay
Stan Birchfield
Yuke Zhu
+ 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
+ Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies. 2019 Visak Kumar
Tucker Hermans
Dieter Fox
Stan Birchfield
Jonathan Tremblay
+ PDF Chat PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data 2019 Zheng Tang
Milind Naphade
Stan Birchfield
Jonathan Tremblay
William Hodge
Ratnesh Kumar
Shuo Wang
Xiaodong Yang
+ 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
+ Few-Shot Viewpoint Estimation 2019 Hung-Yu Tseng
Shalini De Mello
Jonathan Tremblay
Sifei Liu
Stan Birchfield
Ming–Hsuan Yang
Jan Kautz
+ 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
+ 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
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes 2018 Xiang Yu
Tanner Schmidt
Venkatraman Narayanan
Dieter Fox
17
+ 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
12
+ 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
11
+ PDF Chat PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation 2019 Sida Peng
Yuan Liu
Qixing Huang
Xiaowei Zhou
Hujun Bao
11
+ Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects 2018 Jonathan Tremblay
Thang To
Balakumar Sundaralingam
Xiang Yu
Dieter Fox
Stan Birchfield
10
+ PDF Chat Segmentation-Driven 6D Object Pose Estimation 2019 Yinlin Hu
Joachim Hugonot
Pascal Fua
Mathieu Salzmann
9
+ PDF Chat Real-Time Seamless Single Shot 6D Object Pose Prediction 2018 Bugra Tekin
Sudipta N. Sinha
Pascal Fua
9
+ 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
8
+ DPOD: Dense 6D Pose Object Detector in RGB images 2019 Sergey Zakharov
Ivan Shugurov
Slobodan Ilić
8
+ 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
7
+ PDF Chat RMPflow: A Computational Graph for Automatic Motion Policy Generation 2020 Ching-An Cheng
Mustafa Mukadam
Jan Issac
Stan Birchfield
Dieter Fox
Byron Boots
Nathan Ratliff
7
+ PDF Chat Deep High-Resolution Representation Learning for Human Pose Estimation 2019 Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
7
+ Riemannian Motion Policies. 2018 Nathan Ratliff
Jan Issac
Daniel Kappler
7
+ PDF Chat DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion 2019 Chen Wang
Danfei Xu
Yuke Zhu
Roberto Martín-Martín
Cewu Lu
Li Fei-Fei
Silvio Savarese
6
+ 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
6
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
6
+ 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
6
+ 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
6
+ 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
6
+ PDF Chat Convolutional Pose Machines 2016 Shih-En Wei
Varun Ramakrishna
Takeo Kanade
Yaser Sheikh
5
+ PDF Chat Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks 2019 Michelle A. Lee
Yuke Zhu
Krishnan Srinivasan
Parth Shah
Silvio Savarese
Li Fei-Fei
Animesh Garg
Jeannette Bohg
5
+ PDF Chat Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields 2017 Zhe Cao
Tomas Simon
Shih-En Wei
Yaser Sheikh
5
+ PDF Chat UnrealCV: Connecting Computer Vision to Unreal Engine 2016 Weichao Qiu
Alan Yuille
5
+ PDF Chat Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience 2019 Yevgen Chebotar
Ankur Handa
Viktor Makoviychuk
Miles Macklin
Jan Issac
Nathan Ratliff
Dieter Fox
5
+ 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
5
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
5
+ PDF Chat Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning 2020 Michelle A. Lee
Carlos Florensa
Jonathan Tremblay
Nathan Ratliff
Animesh Garg
Fábio Ramos
Dieter Fox
5
+ Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task 2017 Stephen James
Andrew J. Davison
Edward Johns
5
+ Robot Safe Interaction System for Intelligent Industrial Co-Robots 2018 Changliu Liu
Masayoshi Tomizuka
4
+ Reinforcement and Imitation Learning for Diverse Visuomotor Skills 2018 Yuke Zhu
Ziyu Wang
Josh Merel
Andrei A. Rusu
Tom Erez
Serkan Cabi
Saran Tunyasuvunakool
János Kramár
Raia Hadsell
Nando de Freitas
4
+ PDF Chat BOP: Benchmark for 6D Object Pose Estimation 2018 Tomáš Hodaň
Frank Michel
Eric Brachmann
Wadim Kehl
Anders Glent Buch
Dirk Kraft
Bertram Drost
Joel Vidal
Stephan Ihrke
Xenophon Zabulis
4
+ Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach 2018 Douglas Morrison
Jürgen Leitner
Peter Corke
4
+ Reverse Curriculum Generation for Reinforcement Learning 2017 Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
4
+ 6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality 2017 David Joseph Tan
Nassir Navab
Federico Tombari
4
+ Riemannian Motion Policies 2018 Nathan Ratliff
Jan Issac
Daniel Kappler
Stan Birchfield
Dieter Fox
4
+ 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
4
+ PDF Chat Object-Centric Task and Motion Planning in Dynamic Environments 2020 Toki Migimatsu
Jeannette Bohg
4
+ PDF Chat Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks 2019 Roberto Martín-Martín
Michelle A. Lee
Rachel Gardner
Silvio Savarese
Jeannette Bohg
Animesh Garg
4
+ PDF Chat Simple Baselines for Human Pose Estimation and Tracking 2018 Bin Xiao
Haiping Wu
Yichen Wei
4
+ PDF Chat 3D Bounding Box Estimation Using Deep Learning and Geometry 2017 Arsalan Mousavian
Dragomir Anguelov
John P. Flynn
Jana Košecká
4
+ PDF Chat A Fog Robotic System for Dynamic Visual Servoing 2019 Nan Tian
Ajay Kummar Tanwani
Jinfa Chen
Mas Ma
Robert Zhang
Bill X. Huang
Ken Goldberg
Somayeh Sojoudi
4
+ Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task 2017 Stephen James
Andrew J. Davison
Edward Johns
4
+ PDF Chat Learning Robotic Assembly from CAD 2018 Garrett Thomas
Melissa Chien
Aviv Tamar
Juan Aparicio Ojea
Pieter Abbeel
3
+ 3D Simulation for Robot Arm Control with Deep Q-Learning 2016 Stephen James
Edward Johns
3
+ End-to-End Training of Deep Visuomotor Policies 2015 Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
3
+ PDF Chat Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation 2019 He Wang
Srinath Sridhar
Jingwei Huang
Julien Valentin
Shuran Song
Leonidas Guibas
3
+ PDF Chat Neural Task Programming: Learning to Generalize Across Hierarchical Tasks 2018 Danfei Xu
Suraj Nair
Yuke Zhu
Julian Gao
Animesh Garg
Li Fei-Fei
Silvio Savarese
3
+ PDF Chat Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge 2017 Andy Zeng
Kuan‐Ting Yu
Shuran Song
Daniel Suo
Ed Walker
Alberto Rodríguez
Jianxiong Xiao
3
+ PDF Chat Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation 2018 Jonathan Tremblay
Thang To
Stan Birchfield
3
+ PDF Chat Stacked Hourglass Networks for Human Pose Estimation 2016 Alejandro Newell
Kaiyu Yang
Jia Deng
3