Jonathan Tremblay

According to our database, Jonathan Tremblay authored at least 48 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces.

Mauro Comi, Alessio Tonioni, Max Yang, Jonathan Tremblay, Valts Blukis, Yijiong Lin, Nathan F. Lepora, Laurence Aitchison

CoRR, 2024

2023

ProgPrompt: program generation for situated robot task planning using large language models.

Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg

Auton. Robots, December, 2023

Diff-DOPE: Differentiable Deep Object Pose Estimation.

Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

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

CoRR, 2023

HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions.

Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield

IROS, 2023

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control.

Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.

Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation.

Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects.

Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation.

Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural Fields for Robotic Object Manipulation from a Single Image.

Valts Blukis, Taeyeop Lee, Jonathan Tremblay, Bowen Wen, In So Kweon, Kuk-Jin Yoon, Dieter Fox, Stan Birchfield

CoRR, 2022

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis.

Jonathan Tremblay, Moustafa Meshry, Alex Evans, Jan Kautz, Alexander Keller, Sameh Khamis, Charles T. Loop, Nathan Morrical, Koki Nagano, Towaki Takikawa, Stan Birchfield

CoRR, 2022

Variable Bitrate Neural Fields.

Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark.

Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects.

Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Geometry-aware 3D Generative Adversarial Networks.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic

Proceedings of the Conference on Robot Learning, 2022

2021

NViSII: A Scriptable Tool for Photorealistic Image Generation.

Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald

CoRR, 2021

Multi-view Fusion for Multi-level Robotic Scene Understanding.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Joint Space Control via Deep Reinforcement Learning.

Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs.

Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Fast Uncertainty Quantification for Deep Object Pose Estimation.

Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

DexYCB: A Benchmark for Capturing Hand Grasping of Objects.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

SymGAN: Orientation Estimation without Annotation for Symmetric Objects.

Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera.

Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Camera-to-Robot Pose Estimation from a Single Image.

Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning.

Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Toward Sim-to-Real Directional Semantic Grasping.

Shariq Iqbal, Jonathan Tremblay, Andy Campbell, Kirby Leung, Thang To, Jia Cheng, Erik Leitch, Duncan McKay, Stan Birchfield

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies.

Visak Kumar, Tucker Hermans, Dieter Fox, Stan Birchfield, Jonathan Tremblay

CoRR, 2019

Directional Semantic Grasping of Real-World Objects: From Simulation to Reality.

Shariq Iqbal, Jonathan Tremblay, Thang To, Jia Cheng, Erik Leitch, Andy Campbell, Kirby Leung, Duncan McKay, Stan Birchfield

CoRR, 2019

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data.

Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Viewpoint Estimation.

Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations.

Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation.

Jonathan Tremblay, Thang To, Stan Birchfield

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization.

Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.

Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2015

A Game Genre Agnostic Framework for Game-Design.

Jonathan Tremblay, Clark Verbrugge

Proceedings of the 4th IEEE/ACM International Workshop on Games and Software Engineering, 2015

Clustering Player Paths.

Jonathan Campbell, Jonathan Tremblay, Clark Verbrugge

Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015

2014

Measuring risk in stealth games.

Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge

Proceedings of the 9th International Conference on the Foundations of Digital Games, 2014

Target selection for AI companions in FPS games.

Jonathan Tremblay, Christopher Dragert, Clark Verbrugge

Proceedings of the 9th International Conference on the Foundations of Digital Games, 2014

An algorithmic approach to analyzing combat and stealth games.

Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Generative Methods for Guard and Camera Placement in Stealth Games.

Qihan Xu, Jonathan Tremblay, Clark Verbrugge

Proceedings of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2014

2013

Towards the design of a human-like FPS NPC using pheromone maps.

Amir Yahyavi, Jonathan Tremblay, Clark Verbrugge, Bettina Kemme

Proceedings of the 2013 IEEE International Games Innovation Conference, 2013

Adaptive companions in FPS games.

Jonathan Tremblay, Clark Verbrugge

Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

An Exploration Tool for Predicting Stealthy Behaviour.

Jonathan Tremblay, Pedro Andrade Torres, Nir Rikovitch, Clark Verbrugge

Proceedings of the Artificial Intelligencein the Game Design Process 2, 2013

2010

Adaptive Game Mechanics for Learning Purposes - Making Serious Games Playable and Fun.

Jonathan Tremblay, Bruno Bouchard, Abdenour Bouzouane

Proceedings of the CSEDU 2010 - Proceedings of the Second International Conference on Computer Supported Education, Valencia, Spain, April 7-10, 2010, 2010