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Joseph J. Lim
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2020 – today
- 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 Arbelaez, Jitendra Malik:
Recognition using regions. CVPR 2009: 1030-1037 - [c2]Joseph J. Lim, Pablo Arbelaez, 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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