Jonathan Tremblay

98 papers A* 21A 7C 4Misc 2Journal 52Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hints. CoRR Yu Qi, Xinyi Xu, Ziyu Guo, Siyuan Ma, Renrui Zhang, Xinyan Chen, Ruichuan An, Ruofan Xing, Jiayi Zhang, Haojie Huang, Pheng-Ann Heng, Jonathan Tremblay, Lawson L. S. Wong
2026	J	`jnl`	Tactile Modality Fusion for Vision-Language-Action Models. CoRR Charlotte Morissette, Amin Abyaneh, Wei-Di Chang, Anas El Houssaini, David Meger, Hsiu-Chin Lin, Jonathan Tremblay, Gregory Dudek
2025	J	`jnl`	3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds. CoRR Fan-Yun Sun, Shengguang Wu, Christian Jacobsen, Thomas Yim, Haoming Zou, Alex Zook, Shangru Li, Yu-Hsin Chou, Ethem Can, Xunlei Wu, Clemens Eppner, Valts Blukis, Jonathan Tremblay, Jiajun Wu, Stan Birchfield, Nick Haber
2025	J	`jnl`	BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation. CoRR van Nguyen Nguyen, Stephen Tyree, Andrew Guo, Mederic Fourmy, Anas Gouda, Taeyeop Lee, Sungphill Moon, Hyeontae Son, Lukas Ranftl, Jonathan Tremblay, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Stan Birchfield, Jiri Matas, Yann Labbé, Martin Sundermeyer, Tomas Hodan
2025	J	`jnl`	BOP-ASK: Object-Interaction Reasoning for Vision-Language Models. CoRR Vineet Bhat, Sungsu Kim, Valts Blukis, Greg Heinrich, Prashanth Krishnamurthy, Ramesh Karri, Stan Birchfield, Farshad Khorrami, Jonathan Tremblay
2025	J	`jnl`	DT-NVS: Diffusion Transformers for Novel View Synthesis. CoRR Wonbong Jang, Jonathan Tremblay, Lourdes Agapito
2025	J	`jnl`	Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models. CoRR Alex Zook, Josef B. Spjut, Jonathan Tremblay
2025	—	`conf`	GRS: Generating Robotic Simulation Tasks from Real-World Images. CVPR Workshops Alex Zook, Fan-Yun Sun, Josef B. Spjut, Valts Blukis, Stan Birchfield, Jonathan Tremblay
2025	J	`jnl`	RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies. CoRR Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Clemens Eppner, Cyrus Neary, Edward S. Hu, Fabio Ramos, Jonathan Tremblay, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Jie Wang, Xingfang Yuan, Xuning Yang, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martin Martin, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine
2025	A*	`conf`	RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics. CVPR Chan Hee Song, Valts Blukis, Jonathan Tremblay, Stephen Tyree, Yu Su, Stan Birchfield
2025	J	`jnl`	Robot Policy Evaluation for Sim-to-Real Transfer: A Benchmarking Perspective. CoRR Xuning Yang, Clemens Eppner, Jonathan Tremblay, Dieter Fox, Stan Birchfield, Fabio Ramos
2025	—	`conf`	Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces. 3DV Mauro Comi, Alessio Tonioni, Jonathan Tremblay, Max Yang, Valts Blukis, Yijiong Lin, Nathan F. Lepora, Laurence Aitchison
2025	J	`jnl`	SpaceTools: Tool-Augmented Spatial Reasoning via Double Interactive RL. CoRR Siyi Chen, Mikaela Angelina Uy, Chan Hee Song, Faisal Ladhak, Adithyavairavan Murali, Qing Qu, Stan Birchfield, Valts Blukis, Jonathan Tremblay
2024	A*	`conf`	FactorSim: Generative Simulation via Factorized Representation. NeurIPS Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Matthew Cross, Jiajun Wu, Nick Haber
2024	J	`jnl`	FactorSim: Generative Simulation via Factorized Representation. CoRR Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Matthew Cross, Jiajun Wu, Nick Haber
2024	J	`jnl`	GRS: Generating Robotic Simulation Tasks from Real-World Images. CoRR Alex Zook, Fan-Yun Sun, Josef B. Spjut, Valts Blukis, Stan Birchfield, Jonathan Tremblay
2024	A*	`conf`	NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. CVPR Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing
2024	J	`jnl`	NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. CoRR Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing
2024	J	`jnl`	Neural Fields in Robotics: A Survey. CoRR Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay
2024	A*	`conf`	Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects. CVPR Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas J. Guibas, Stan Birchfield
2024	J	`jnl`	Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects. CoRR Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas J. Guibas, Stan Birchfield
2024	—	`conf`	Partial-View Object View Synthesis via Filtering Inversion. 3DV 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
2024	J	`jnl`	RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics. CoRR Chan Hee Song, Valts Blukis, Jonathan Tremblay, Stephen Tyree, Yu Su, Stan Birchfield
2024	J	`jnl`	Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces. CoRR Mauro Comi, Alessio Tonioni, Max Yang, Jonathan Tremblay, Valts Blukis, Yijiong Lin, Nathan F. Lepora, Laurence Aitchison
2023	A*	`conf`	BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CVPR Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
2023	J	`jnl`	BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CoRR Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
2023	J	`jnl`	Diff-DOPE: Differentiable Deep Object Pose Estimation. CoRR Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield
2023	A	`conf`	HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. IROS Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield
2023	J	`jnl`	HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. CoRR Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield
2023	A*	`conf`	Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. ICRA Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
2023	J	`jnl`	Partial-View Object View Synthesis via Filtered Inversion. CoRR 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
2023	A*	`conf`	ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. ICRA Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
2023	J	`jnl`	ProgPrompt: program generation for situated robot task planning using large language models. Auton. Robots Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
2023	A*	`conf`	RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. ICRA Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield
2023	A*	`conf`	TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation. CVPR Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
2023	J	`jnl`	TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation. CoRR Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
2022	A	`conf`	6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. IROS Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield
2022	J	`jnl`	6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. CoRR Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield
2022	A*	`conf`	Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR 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
2022	A*	`conf`	Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. ICRA Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2022	J	`jnl`	Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. CoRR Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2022	Misc	`conf`	MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
2022	J	`jnl`	MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
2022	J	`jnl`	Neural Fields for Robotic Object Manipulation from a Single Image. CoRR Valts Blukis, Taeyeop Lee, Jonathan Tremblay, Bowen Wen, In So Kweon, Kuk-Jin Yoon, Dieter Fox, Stan Birchfield
2022	J	`jnl`	Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. CoRR Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
2022	J	`jnl`	ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. CoRR Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
2022	J	`jnl`	RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. CoRR Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield
2022	J	`jnl`	RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis. CoRR Jonathan Tremblay, Moustafa Meshry, Alex Evans, Jan Kautz, Alexander Keller, Sameh Khamis, Charles T. Loop, Nathan Morrical, Koki Nagano, Towaki Takikawa, Stan Birchfield
2022	A*	`conf`	Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image. ICRA Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2022	—	`conf`	Variable Bitrate Neural Fields. SIGGRAPH (Conference Paper Track) Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler
2022	J	`jnl`	Variable Bitrate Neural Fields. CoRR Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler
2022	A*	`conf`	Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects. CVPR Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo
2021	A*	`conf`	DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CVPR Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox
2021	J	`jnl`	DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CoRR Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox
2021	J	`jnl`	Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR 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
2021	A*	`conf`	Fast Uncertainty Quantification for Deep Object Pose Estimation. ICRA Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
2021	A*	`conf`	Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. ICRA Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu
2021	A	`conf`	Joint Space Control via Deep Reinforcement Learning. IROS Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
2021	A	`conf`	Multi-view Fusion for Multi-level Robotic Scene Understanding. IROS Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021	J	`jnl`	Multi-view Fusion for Multi-level Robotic Scene Understanding. CoRR Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021	J	`jnl`	NViSII: A Scriptable Tool for Photorealistic Image Generation. CoRR Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald
2021	J	`jnl`	Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image. CoRR Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021	J	`jnl`	Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects. CoRR Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo
2020	A*	`conf`	Camera-to-Robot Pose Estimation from a Single Image. ICRA Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield
2020	J	`jnl`	Fast Uncertainty Quantification for Deep Object Pose Estimation. CoRR Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
2020	A*	`conf`	Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. ICRA Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
2020	J	`jnl`	Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. CoRR Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
2020	J	`jnl`	Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. CoRR Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu
2020	A	`conf`	Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. IROS Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
2020	J	`jnl`	Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. CoRR Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
2020	J	`jnl`	Joint Space Control via Deep Reinforcement Learning. CoRR Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
2020	J	`jnl`	PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. CoRR Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang
2020	A	`conf`	SymGAN: Orientation Estimation without Annotation for Symmetric Objects. WACV Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox
2020	A*	`conf`	Toward Sim-to-Real Directional Semantic Grasping. ICRA Shariq Iqbal, Jonathan Tremblay, Andy Campbell, Kirby Leung, Thang To, Jia Cheng, Erik Leitch, Duncan McKay, Stan Birchfield
2019	J	`jnl`	Camera-to-Robot Pose Estimation from a Single Image. CoRR Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield
2019	J	`jnl`	Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies. CoRR Visak Kumar, Tucker Hermans, Dieter Fox, Stan Birchfield, Jonathan Tremblay
2019	J	`jnl`	Directional Semantic Grasping of Real-World Objects: From Simulation to Reality. CoRR Shariq Iqbal, Jonathan Tremblay, Thang To, Jia Cheng, Erik Leitch, Andy Campbell, Kirby Leung, Duncan McKay, Stan Birchfield
2019	A	`conf`	Few-Shot Viewpoint Estimation. BMVC Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz
2019	J	`jnl`	Few-Shot Viewpoint Estimation. CoRR Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz
2019	A*	`conf`	PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. ICCV Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang
2018	Misc	`conf`	Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. CoRL Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield
2018	J	`jnl`	Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. CoRR Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield
2018	—	`conf`	Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation. CVPR Workshops Jonathan Tremblay, Thang To, Stan Birchfield
2018	J	`jnl`	Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation. CoRR Jonathan Tremblay, Thang To, Stan Birchfield
2018	A*	`conf`	Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. ICRA Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
2018	J	`jnl`	Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. CoRR Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
2018	—	`conf`	Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. CVPR Workshops Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
2018	J	`jnl`	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization. CoRR Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
2015	—	`conf`	A Game Genre Agnostic Framework for Game-Design. GAS@ICSE Jonathan Tremblay, Clark Verbrugge
2015	C	`conf`	Clustering Player Paths. FDG Jonathan Campbell, Jonathan Tremblay, Clark Verbrugge
2014	—	`conf`	An algorithmic approach to analyzing combat and stealth games. CIG Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge
2014	—	`conf`	Generative Methods for Guard and Camera Placement in Stealth Games. AIIDE Qihan Xu, Jonathan Tremblay, Clark Verbrugge
2014	C	`conf`	Measuring risk in stealth games. FDG Jonathan Tremblay, Pedro Andrade Torres, Clark Verbrugge
2014	C	`conf`	Target selection for AI companions in FPS games. FDG Jonathan Tremblay, Christopher Dragert, Clark Verbrugge
2013	C	`conf`	Adaptive companions in FPS games. FDG Jonathan Tremblay, Clark Verbrugge
2013	—	`conf`	An Exploration Tool for Predicting Stealthy Behaviour. AI in the Game Design Process @ AIIDE Jonathan Tremblay, Pedro Andrade Torres, Nir Rikovitch, Clark Verbrugge
2013	—	`conf`	Towards the design of a human-like FPS NPC using pheromone maps. IGIC Amir Yahyavi, Jonathan Tremblay, Clark Verbrugge, Bettina Kemme
2010	—	`conf`	Adaptive Game Mechanics for Learning Purposes - Making Serious Games Playable and Fun. CSEDU (2) Jonathan Tremblay, Bruno Bouchard, Abdenour Bouzouane