Jonathan Tremblay

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 68

Top Topics

Pose Estimation

Top Venues

Publications

Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas J. Guibas, Stan Birchfield
Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects. CoRR (2024)
Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber
Partial-View Object View Synthesis via Filtering Inversion. 3DV (2024)
Mauro Comi, Alessio Tonioni, Max Yang, Jonathan Tremblay, Valts Blukis, Yijiong Lin, Nathan F. Lepora, Laurence Aitchison
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces. CoRR (2024)
Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. CoRR (2024)
Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation. CoRR (2023)
Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation. CVPR (2023)
Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. ICRA (2023)
Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CVPR (2023)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. ICRA (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. CoRR (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. IROS (2023)
Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield
Diff-DOPE: Differentiable Deep Object Pose Estimation. CoRR (2023)
Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CoRR (2023)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: program generation for situated robot task planning using large language models. Auton. Robots 47 (8) (2023)
Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber
Partial-View Object View Synthesis via Filtered Inversion. CoRR (2023)
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. ICRA (2023)
Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. CoRR (2022)
Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler
Variable Bitrate Neural Fields. CoRR (2022)
Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR (2022)
Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. CoRR (2022)
Jonathan Tremblay, Moustafa Meshry, Alex Evans, Jan Kautz, Alexander Keller, Sameh Khamis, Charles T. Loop, Nathan Morrical, Koki Nagano, Towaki Takikawa, Stan Birchfield
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis. CoRR (2022)
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander Schwing, Stan Birchfield
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. CoRR (2022)
Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler
Variable Bitrate Neural Fields. SIGGRAPH (Conference Paper Track) (2022)
Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL (2022)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image. ICRA (2022)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. CoRR (2022)
Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects. CVPR (2022)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. ICRA (2022)
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein
Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR (2022)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. CoRR (2022)
Valts Blukis, Taeyeop Lee, Jonathan Tremblay, Bowen Wen, In So Kweon, Kuk-Jin Yoon, Dieter Fox, Stan Birchfield
Neural Fields for Robotic Object Manipulation from a Single Image. CoRR (2022)
Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. IROS (2022)
Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects. CoRR (2021)
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CVPR (2021)
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein
Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR (2021)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Multi-view Fusion for Multi-level Robotic Scene Understanding. IROS (2021)
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CoRR (2021)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Multi-view Fusion for Multi-level Robotic Scene Understanding. CoRR (2021)
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
Fast Uncertainty Quantification for Deep Object Pose Estimation. ICRA (2021)
Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
Joint Space Control via Deep Reinforcement Learning. IROS (2021)
Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. ICRA (2021)
Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald
NViSII: A Scriptable Tool for Photorealistic Image Generation. CoRR (2021)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image. CoRR (2021)
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. ICRA (2020)
Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. IROS (2020)
Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield
Camera-to-Robot Pose Estimation from a Single Image. ICRA (2020)
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. CoRR (2020)
Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. CoRR (2020)
Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. CoRR (2020)
Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. CoRR (2020)
Shariq Iqbal, Jonathan Tremblay, Andy Campbell, Kirby Leung, Thang To, Jia Cheng, Erik Leitch, Duncan McKay, Stan Birchfield
Toward Sim-to-Real Directional Semantic Grasping. ICRA (2020)
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
Fast Uncertainty Quantification for Deep Object Pose Estimation. CoRR (2020)
Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox
SymGAN: Orientation Estimation without Annotation for Symmetric Objects. WACV (2020)
Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
Joint Space Control via Deep Reinforcement Learning. CoRR (2020)
Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. ICCV (2019)
Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield
Camera-to-Robot Pose Estimation from a Single Image. CoRR (2019)
Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz
Few-Shot Viewpoint Estimation. BMVC (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. CoRR (2019)
Visak Kumar, Tucker Hermans, Dieter Fox, Stan Birchfield, Jonathan Tremblay
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies. CoRR (2019)
Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz
Few-Shot Viewpoint Estimation. CoRR (2019)
Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. CoRR (2018)
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. CoRR (2018)
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. CVPR Workshops (2018)
Jonathan Tremblay, Thang To, Stan Birchfield
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation. CoRR (2018)
Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. ICRA (2018)
Jonathan Tremblay, Thang To, Stan Birchfield
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation. CVPR Workshops (2018)
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. CoRL (2018)
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization. CoRR (2018)
Jonathan Tremblay, Clark Verbrugge
A Game Genre Agnostic Framework for Game-Design. GAS@ICSE (2015)
Jonathan Campbell, Jonathan Tremblay, Clark Verbrugge
Clustering Player Paths. FDG (2015)
Qihan Xu, Jonathan Tremblay, Clark Verbrugge
Generative Methods for Guard and Camera Placement in Stealth Games. AIIDE (2014)
Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge
Measuring risk in stealth games. FDG (2014)
Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge
An algorithmic approach to analyzing combat and stealth games. CIG (2014)
Jonathan Tremblay, Christopher Dragert, Clark Verbrugge
Target selection for AI companions in FPS games. FDG (2014)
Amir Yahyavi, Jonathan Tremblay, Clark Verbrugge, Bettina Kemme
Towards the design of a human-like FPS NPC using pheromone maps. IGIC (2013)
Jonathan Tremblay, Clark Verbrugge
Adaptive companions in FPS games. FDG (2013)
Jonathan Tremblay, Pedro Andrade Torres, Nir Rikovitch, Clark Verbrugge
An Exploration Tool for Predicting Stealthy Behaviour. AI in the Game Design Process @ AIIDE (2013)
Jonathan Tremblay, Bruno Bouchard, Abdenour Bouzouane
Adaptive Game Mechanics for Learning Purposes - Making Serious Games Playable and Fun. CSEDU (2) (2010)