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2020 – today
- 2024
[c50]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903- [c49]Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim:
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. ICRA 2024: 9168-9175 - [i33]Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor:
EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR abs/2406.17768 (2024) - 2023
- [c48]Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim:
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRL 2023: 302-325 - [c47]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. Robotics: Science and Systems 2023 - [c46]Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim:
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. Robotics: Science and Systems 2023 - [i32]Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim:
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing. CoRR abs/2302.00671 (2023) - [i31]Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun:
Hierarchical Neural Program Synthesis. CoRR abs/2303.06018 (2023) - [i30]Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim:
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. CoRR abs/2305.12821 (2023) - [i29]Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim:
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. CoRR abs/2306.11886 (2023) - [i28]Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim:
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRR abs/2310.10021 (2023) - [i27]Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch:
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. CoRR abs/2312.08958 (2023) - 2022
- [c45]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRL 2022: 690-700 - [c44]Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee:
Skill-based Model-based Reinforcement Learning. CoRL 2022: 2262-2272 - [c43]Ayush Jain, Norio Kosaka, Kyung-Min Kim, Joseph J. Lim:
Know Your Action Set: Learning Action Relations for Reinforcement Learning. ICLR 2022 - [c42]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. ICLR 2022 - [c41]Jun Yamada, Karl Pertsch, Anisha Gunjal, Joseph J. Lim:
Task-Induced Representation Learning. ICLR 2022 - [i26]Jun Yamada, Karl Pertsch, Anisha Gunjal, Joseph J. Lim:
Task-Induced Representation Learning. CoRR abs/2204.11827 (2022) - [i25]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. CoRR abs/2204.11828 (2022) - [i24]Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee:
Skill-based Model-based Reinforcement Learning. CoRR abs/2207.07560 (2022) - [i23]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. CoRR abs/2212.04708 (2022) - [i22]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRR abs/2212.07407 (2022) - 2021
- [c40]Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. CoRL 2021: 406-416 - [c39]I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee:
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRL 2021: 641-650 - [c38]Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim:
Demonstration-Guided Reinforcement Learning with Learned Skills. CoRL 2021: 729-739 - [c37]Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, Byoung-Tak Zhang:
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. ICML 2021: 5519-5529 - [c36]Youngwoon Lee, Edward S. Hu, Joseph J. Lim:
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. ICRA 2021: 6343-6349 - [c35]Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim:
Generalizable Imitation Learning from Observation via Inferring Goal Proximity. NeurIPS 2021: 16118-16130 - [c34]Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim:
Learning to Synthesize Programs as Interpretable and Generalizable Policies. NeurIPS 2021: 25146-25163 - [c33]Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim:
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. Robotics: Science and Systems 2021 - [i21]Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim:
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. CoRR abs/2107.00339 (2021) - [i20]Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim:
Demonstration-Guided Reinforcement Learning with Learned Skills. CoRR abs/2107.10253 (2021) - [i19]Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim:
Learning to Synthesize Programs as Interpretable and Generalizable Policies. CoRR abs/2108.13643 (2021) - [i18]I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee:
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRR abs/2111.06383 (2021) - [i17]Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. CoRR abs/2111.07999 (2021) - 2020
- [j3]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res. 39(10-11) (2020) - [c32]Karl Pertsch, Youngwoon Lee, Joseph J. Lim:
Accelerating Reinforcement Learning with Learned Skill Priors. CoRL 2020: 188-204 - [c31]Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert:
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. CoRL 2020: 589-603 - [c30]Youngwoon Lee, Jingyun Yang, Joseph J. Lim:
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification. ICLR 2020 - [c29]Shao-Hua Sun, Te-Lin Wu, Joseph J. Lim:
Program Guided Agent. ICLR 2020 - [c28]Ayush Jain, Andrew Szot, Joseph J. Lim:
Generalization to New Actions in Reinforcement Learning. ICML 2020: 4661-4672 - [c27]Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle:
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning. L4DC 2020: 969-979 - [i16]Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert:
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. CoRR abs/2010.11940 (2020) - [i15]Karl Pertsch, Youngwoon Lee, Joseph J. Lim:
Accelerating Reinforcement Learning with Learned Skill Priors. CoRR abs/2010.11944 (2020) - [i14]Ayush Jain, Andrew Szot, Joseph J. Lim:
Generalization to New Actions in Reinforcement Learning. CoRR abs/2011.01928 (2020)
2010 – 2019
- 2019
- [c26]Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim:
To Follow or not to Follow: Selective Imitation Learning from Observations. CoRL 2019: 11-23 - [c25]Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim:
Composing Complex Skills by Learning Transition Policies. ICLR (Poster) 2019 - [c24]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. NeurIPS 2019: 1-12 - [i13]Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle:
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. CoRR abs/1904.05869 (2019) - [i12]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. CoRR abs/1910.13616 (2019) - [i11]Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim:
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. CoRR abs/1911.07246 (2019) - [i10]Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim:
To Follow or not to Follow: Selective Imitation Learning from Observations. CoRR abs/1912.07670 (2019) - 2018
- [j2]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
3D Interpreter Networks for Viewer-Centered Wireframe Modeling. Int. J. Comput. Vis. 126(9): 1009-1026 (2018) - [c23]Kuan Fang, Te-Lin Wu, Daniel Yang
, Silvio Savarese, Joseph J. Lim:
Demo2Vec: Reasoning Object Affordances From Online Videos. CVPR 2018: 2139-2147 - [c22]Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman:
Learning and Using the Arrow of Time. CVPR 2018: 8052-8060 - [c21]Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim:
Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence. ECCV (3) 2018: 162-178 - [c20]Jiayuan Mao, Honghua Dong, Joseph J. Lim:
Universal Agent for Disentangling Environments and Tasks. ICLR (Poster) 2018 - [c19]Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, Joseph J. Lim:
Neural Program Synthesis from Diverse Demonstration Videos. ICML 2018: 4797-4806 - [c18]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER 2018: 267-279 - [i9]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
3D Interpreter Networks for Viewer-Centered Wireframe Modeling. CoRR abs/1804.00782 (2018) - [i8]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning composable robot skills. CoRR abs/1809.10253 (2018) - [i7]Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR abs/1810.00146 (2018) - [i6]Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR abs/1810.02422 (2018) - [i5]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Toward Multimodal Model-Agnostic Meta-Learning. CoRR abs/1812.07172 (2018) - 2017
- [c17]De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. CVPR 2017: 1032-1041 - [c16]Yuke Zhu, Joseph J. Lim, Li Fei-Fei:
Knowledge Acquisition for Visual Question Answering via Iterative Querying. CVPR 2017: 6146-6155 - [c15]Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi:
Target-driven visual navigation in indoor scenes using deep reinforcement learning. ICRA 2017: 3357-3364 - [c14]Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim:
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. NIPS 2017: 1235-1245 - [i4]De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. CoRR abs/1703.02521 (2017) - [i3]Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim:
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. CoRR abs/1705.10479 (2017) - 2016
- [j1]Kyle Olszewski, Joseph J. Lim, Shunsuke Saito, Hao Li:
High-fidelity facial and speech animation for VR HMDs. ACM Trans. Graph. 35(6): 221:1-221:14 (2016) - [c13]Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman:
Physics 101: Learning Physical Object Properties from Unlabeled Videos. BMVC 2016 - [c12]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Single Image 3D Interpreter Network. ECCV (6) 2016: 365-382 - [i2]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Single Image 3D Interpreter Network. CoRR abs/1604.08685 (2016) - [i1]Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi:
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning. CoRR abs/1609.05143 (2016) - 2015
- [b1]Joseph J. Lim:
Toward visual understanding of everyday object. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015 - [c11]Phillip Isola, Joseph J. Lim, Edward H. Adelson:
Discovering states and transformations in image collections. CVPR 2015: 1383-1391 - [c10]Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, Joshua B. Tenenbaum:
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning. NIPS 2015: 127-135 - 2014
- [c9]Aditya Khosla, Byoungkwon An, Joseph J. Lim, Antonio Torralba:
Looking Beyond the Visible Scene. CVPR 2014: 3710-3717 - [c8]Joseph J. Lim, Aditya Khosla, Antonio Torralba:
FPM: Fine Pose Parts-Based Model with 3D CAD Models. ECCV (6) 2014: 478-493 - 2013
- [c7]Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár:
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. CVPR 2013: 3158-3165 - [c6]Joseph J. Lim, Hamed Pirsiavash, Antonio Torralba:
Parsing IKEA Objects: Fine Pose Estimation. ICCV 2013: 2992-2999 - 2011
- [c5]Joseph J. Lim, Ruslan Salakhutdinov, Antonio Torralba:
Transfer Learning by Borrowing Examples for Multiclass Object Detection. NIPS 2011: 118-126 - 2010
- [c4]Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky:
Exploiting hierarchical context on a large database of object categories. CVPR 2010: 129-136
2000 – 2009
- 2009
- [c3]Chunhui Gu, Joseph J. Lim, Pablo Arbeláez, Jitendra Malik:
Recognition using regions. CVPR 2009: 1030-1037 - [c2]Joseph J. Lim, Pablo Arbeláez, Chunhui Gu, Jitendra Malik:
Context by region ancestry. ICCV 2009: 1978-1985 - 2007
- [c1]Max Welling, Joseph J. Lim:
A Distributed Message Passing Algorithm for Sensor Localization. ICANN (1) 2007: 767-775
Coauthor Index
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