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Jonathan Tremblay
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2020 – today
- 2024
- [c42]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: 453-463 - [c41]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. CVPR 2024: 3141-3150 - [c40]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. CVPR 2024: 10293-10303 - [i37]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 abs/2403.20275 (2024) - [i36]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 abs/2404.01440 (2024) - [i35]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 abs/2406.10543 (2024) - 2023
- [j1]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): 999-1012 (2023) - [c39]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: 606-617 - [c38]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: 21285-21295 - [c37]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: 1778-1785 - [c36]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: 9377-9384 - [c35]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: 11523-11530 - [c34]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: 11428-11435 - [i34]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 abs/2303.14158 (2023) - [i33]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 abs/2303.16730 (2023) - [i32]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 abs/2304.00673 (2023) - [i31]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 abs/2308.01477 (2023) - [i30]Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield:
Diff-DOPE: Differentiable Deep Object Pose Estimation. CoRR abs/2310.00463 (2023) - 2022
- [c33]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: 715-725 - [c32]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: 3667-3677 - [c31]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: 16102-16112 - [c30]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: 1258-1264 - [c29]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: 1547-1553 - [c28]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: 13081-13088 - [c27]Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler:
Variable Bitrate Neural Fields. SIGGRAPH (Conference Paper Track) 2022: 41:1-41:9 - [i29]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 abs/2203.05701 (2022) - [i28]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 abs/2205.07058 (2022) - [i27]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 abs/2205.11047 (2022) - [i26]Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler:
Variable Bitrate Neural Fields. CoRR abs/2206.07707 (2022) - [i25]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 abs/2209.11302 (2022) - [i24]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 abs/2210.10108 (2022) - [i23]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. CoRR abs/2210.11668 (2022) - [i22]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 abs/2210.12126 (2022) - [i21]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 abs/2212.06870 (2022) - 2021
- [c26]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: 9044-9053 - [c25]Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu:
Fast Uncertainty Quantification for Deep Object Pose Estimation. ICRA 2021: 5200-5207 - [c24]Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu:
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. ICRA 2021: 6541-6548 - [c23]Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield:
Joint Space Control via Deep Reinforcement Learning. IROS 2021: 3619-3626 - [c22]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Multi-view Fusion for Multi-level Robotic Scene Understanding. IROS 2021: 6817-6824 - [i20]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Multi-view Fusion for Multi-level Robotic Scene Understanding. CoRR abs/2103.13539 (2021) - [i19]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 abs/2104.04631 (2021) - [i18]Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald:
NViSII: A Scriptable Tool for Photorealistic Image Generation. CoRR abs/2105.13962 (2021) - [i17]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 abs/2109.06161 (2021) - [i16]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 abs/2112.07945 (2021) - [i15]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 abs/2112.11347 (2021) - 2020
- [c21]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: 7247-7253 - [c20]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: 7505-7512 - [c19]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: 9426-9432 - [c18]Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield:
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. IROS 2020: 4227-4234 - [c17]Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox:
SymGAN: Orientation Estimation without Annotation for Symmetric Objects. WACV 2020: 1657-1666 - [i14]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 abs/2005.00673 (2020) - [i13]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 abs/2005.10872 (2020) - [i12]Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield:
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. CoRR abs/2008.11822 (2020) - [i11]Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield:
Joint Space Control via Deep Reinforcement Learning. CoRR abs/2011.06332 (2020) - [i10]Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu:
Fast Uncertainty Quantification for Deep Object Pose Estimation. CoRR abs/2011.07748 (2020) - [i9]Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu:
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. CoRR abs/2012.07277 (2020)
2010 – 2019
- 2019
- [c16]Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz:
Few-Shot Viewpoint Estimation. BMVC 2019: 39 - [c15]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: 211-220 - [i8]Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz:
Few-Shot Viewpoint Estimation. CoRR abs/1905.04957 (2019) - [i7]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 abs/1909.02075 (2019) - [i6]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 abs/1911.09231 (2019) - [i5]Visak Kumar, Tucker Hermans, Dieter Fox, Stan Birchfield, Jonathan Tremblay:
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies. CoRR abs/1911.09233 (2019) - 2018
- [c14]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: 306-316 - [c13]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: 969-977 - [c12]Jonathan Tremblay, Thang To, Stan Birchfield:
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation. CVPR Workshops 2018: 2038-2041 - [c11]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: 1-5 - [i4]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 abs/1804.06516 (2018) - [i3]Jonathan Tremblay, Thang To, Stan Birchfield:
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation. CoRR abs/1804.06534 (2018) - [i2]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 abs/1805.07054 (2018) - [i1]Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield:
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. CoRR abs/1809.10790 (2018) - 2015
- [c10]Jonathan Campbell, Jonathan Tremblay, Clark Verbrugge:
Clustering Player Paths. FDG 2015 - [c9]Jonathan Tremblay, Clark Verbrugge:
A Game Genre Agnostic Framework for Game-Design. GAS@ICSE 2015: 3-7 - 2014
- [c8]Qihan Xu, Jonathan Tremblay, Clark Verbrugge:
Generative Methods for Guard and Camera Placement in Stealth Games. AIIDE 2014 - [c7]Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge:
An algorithmic approach to analyzing combat and stealth games. CIG 2014: 1-8 - [c6]Jonathan Tremblay, Christopher Dragert, Clark Verbrugge:
Target selection for AI companions in FPS games. FDG 2014 - [c5]Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge:
Measuring risk in stealth games. FDG 2014 - 2013
- [c4]Jonathan Tremblay, Pedro Andrade Torres, Nir Rikovitch, Clark Verbrugge:
An Exploration Tool for Predicting Stealthy Behaviour. AI in the Game Design Process @ AIIDE 2013 - [c3]Jonathan Tremblay, Clark Verbrugge:
Adaptive companions in FPS games. FDG 2013: 229-236 - [c2]Amir Yahyavi, Jonathan Tremblay, Clark Verbrugge, Bettina Kemme:
Towards the design of a human-like FPS NPC using pheromone maps. IGIC 2013: 275-282 - 2010
- [c1]Jonathan Tremblay, Bruno Bouchard, Abdenour Bouzouane:
Adaptive Game Mechanics for Learning Purposes - Making Serious Games Playable and Fun. CSEDU (2) 2010: 465-470
Coauthor Index
aka: Stan Birchfield
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last updated on 2024-10-07 21:24 CEST by the dblp team
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