Joseph J. Lim

96 papers A* 28A 1Misc 10Journal 41Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
FurnitureBench: Reproducible real-world benchmark for long-horizon complex manipulation.
Int. J. Robotics Res.
Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim
2025 J jnl
N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout.
CoRR
Kaixin Chai, Hyunjun Lee, Joseph J. Lim
2025 A* conf
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing.
ICLR
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim
2025 J jnl
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations.
CoRR
Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J. Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang
2025 A* conf
Subtask-Aware Visual Reward Learning from Segmented Demonstrations.
ICLR
Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee
2025 J jnl
Subtask-Aware Visual Reward Learning from Segmented Demonstrations.
CoRR
Changyeon Kim, Minho Heo, Doohyun Lee, Jinwoo Shin, Honglak Lee, Joseph J. Lim, Kimin Lee
2024 — conf
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
Robotics: Science and Systems
Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn
2024 Misc conf
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data.
CoRL
Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024 J jnl
EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data.
CoRR
Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024 J jnl
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions.
CoRR
Ayush Jain, Norio Kosaka, Xinhu Li, Kyung-Min Kim, Erdem Biyik, Joseph J. Lim
2024 A* conf
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
ICRA
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 E. 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 T. 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-Gomez, 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
2024 A* conf
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling.
ICRA
Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim
2023 Misc conf
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.
CoRL
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
2023 J jnl
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.
CoRR
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
2023 J jnl
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing.
CoRR
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim
2023 — conf
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation.
Robotics: Science and Systems
Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim
2023 J jnl
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation.
CoRR
Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim
2023 J jnl
Hierarchical Neural Program Synthesis.
CoRR
Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun
2023 J jnl
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers.
CoRR
Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch
2023 — conf
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection.
Robotics: Science and Systems
Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis
2023 J jnl
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling.
CoRR
Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim
2022 Misc conf
Cross-Domain Transfer via Semantic Skill Imitation.
CoRL
Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
2022 J jnl
Cross-Domain Transfer via Semantic Skill Imitation.
CoRR
Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
2022 A* conf
Know Your Action Set: Learning Action Relations for Reinforcement Learning.
ICLR
Ayush Jain, Norio Kosaka, Kyung-Min Kim, Joseph J. Lim
2022 J jnl
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection.
CoRR
Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis
2022 A* conf
Skill-based Meta-Reinforcement Learning.
ICLR
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
2022 J jnl
Skill-based Meta-Reinforcement Learning.
CoRR
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
2022 Misc conf
Skill-based Model-based Reinforcement Learning.
CoRL
Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee
2022 J jnl
Skill-based Model-based Reinforcement Learning.
CoRR
Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee
2022 A* conf
Task-Induced Representation Learning.
ICLR
Jun Yamada, Karl Pertsch, Anisha Gunjal, Joseph J. Lim
2022 J jnl
Task-Induced Representation Learning.
CoRR
Jun Yamada, Karl Pertsch, Anisha Gunjal, Joseph J. Lim
2021 Misc conf
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.
CoRL
Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu
2021 J jnl
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.
CoRR
Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu
2021 Misc conf
Demonstration-Guided Reinforcement Learning with Learned Skills.
CoRL
Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim
2021 J jnl
Demonstration-Guided Reinforcement Learning with Learned Skills.
CoRR
Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim
2021 Misc conf
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation.
CoRL
I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
2021 J jnl
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation.
CoRR
I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
2021 A* conf
Generalizable Imitation Learning from Observation via Inferring Goal Proximity.
NeurIPS
Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim
2021 A* conf
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.
ICRA
Youngwoon Lee, Edward S. Hu, Joseph J. Lim
2021 A* conf
Learning to Synthesize Programs as Interpretable and Generalizable Policies.
NeurIPS
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
2021 J jnl
Learning to Synthesize Programs as Interpretable and Generalizable Policies.
CoRR
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
2021 A* conf
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning.
ICML
TaeHyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, Byoung-Tak Zhang
2021 — conf
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding.
Robotics: Science and Systems
Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim
2021 J jnl
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding.
CoRR
Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim
2020 Misc conf
Accelerating Reinforcement Learning with Learned Skill Priors.
CoRL
Karl Pertsch, Youngwoon Lee, Joseph J. Lim
2020 J jnl
Accelerating Reinforcement Learning with Learned Skill Priors.
CoRR
Karl Pertsch, Youngwoon Lee, Joseph J. Lim
2020 A* conf
Generalization to New Actions in Reinforcement Learning.
ICML
Ayush Jain, Andrew Szot, Joseph J. Lim
2020 J jnl
Generalization to New Actions in Reinforcement Learning.
CoRR
Ayush Jain, Andrew Szot, Joseph J. Lim
2020 — conf
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning.
L4DC
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle
2020 A* conf
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification.
ICLR
Youngwoon Lee, Jingyun Yang, Joseph J. Lim
2020 Misc conf
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments.
CoRL
Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert
2020 J jnl
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments.
CoRR
Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert
2020 A* conf
Program Guided Agent.
ICLR
Shao-Hua Sun, Te-Lin Wu, Joseph J. Lim
2020 J jnl
Scaling simulation-to-real transfer by learning a latent space of robot skills.
Int. J. Robotics Res.
Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2019 — conf
Composing Complex Skills by Learning Transition Policies.
ICLR (Poster)
Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim
2019 J jnl
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.
CoRR
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim
2019 J jnl
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction.
CoRR
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle
2019 A* conf
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
NeurIPS
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2019 J jnl
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
CoRR
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2019 Misc conf
To Follow or not to Follow: Selective Imitation Learning from Observations.
CoRL
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim
2019 J jnl
To Follow or not to Follow: Selective Imitation Learning from Observations.
CoRR
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim
2018 J jnl
3D Interpreter Networks for Viewer-Centered Wireframe Modeling.
CoRR
Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman
2018 J jnl
3D Interpreter Networks for Viewer-Centered Wireframe Modeling.
Int. J. Comput. Vis.
Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman
2018 J jnl
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation.
CoRR
Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme
2018 A* conf
Demo2Vec: Reasoning Object Affordances From Online Videos.
CVPR
Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim
2018 A* conf
Learning and Using the Arrow of Time.
CVPR
Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman
2018 — conf
Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence.
ECCV (3)
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim
2018 A* conf
Neural Program Synthesis from Diverse Demonstration Videos.
ICML
Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, Joseph J. Lim
2018 — conf
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills.
ISER
Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2018 J jnl
Scaling simulation-to-real transfer by learning composable robot skills.
CoRR
Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2018 J jnl
Toward Multimodal Model-Agnostic Meta-Learning.
CoRR
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2018 — conf
Universal Agent for Disentangling Environments and Tasks.
ICLR (Poster)
Jiayuan Mao, Honghua Dong, Joseph J. Lim
2018 J jnl
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations.
CoRR
Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2017 A* conf
Knowledge Acquisition for Visual Question Answering via Iterative Querying.
CVPR
Yuke Zhu, Joseph J. Lim, Li Fei-Fei
2017 — conf
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.
NIPS
Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim
2017 J jnl
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.
CoRR
Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim
2017 A* conf
Target-driven visual navigation in indoor scenes using deep reinforcement learning.
ICRA
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi
2017 A* conf
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos.
CVPR
De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles
2017 J jnl
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos.
CoRR
De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles
2016 J jnl
High-fidelity facial and speech animation for VR HMDs.
ACM Trans. Graph.
Kyle Olszewski, Joseph J. Lim, Shunsuke Saito, Hao Li
2016 A conf
Physics 101: Learning Physical Object Properties from Unlabeled Videos.
BMVC
Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman
2016 — conf
Single Image 3D Interpreter Network.
ECCV (6)
Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman
2016 J jnl
Single Image 3D Interpreter Network.
CoRR
Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman
2016 J jnl
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning.
CoRR
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi
2015 A* conf
Discovering states and transformations in image collections.
CVPR
Phillip Isola, Joseph J. Lim, Edward H. Adelson
2015 — conf
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning.
NIPS
Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, Joshua B. Tenenbaum
2015 — —
Toward visual understanding of everyday object.
Joseph J. Lim
2014 — conf
FPM: Fine Pose Parts-Based Model with 3D CAD Models.
ECCV (6)
Joseph J. Lim, Aditya Khosla, Antonio Torralba
2014 A* conf
Looking Beyond the Visible Scene.
CVPR
Aditya Khosla, Byoungkwon An, Joseph J. Lim, Antonio Torralba
2013 A* conf
Parsing IKEA Objects: Fine Pose Estimation.
ICCV
Joseph J. Lim, Hamed Pirsiavash, Antonio Torralba
2013 A* conf
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection.
CVPR
Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár
2011 — conf
Transfer Learning by Borrowing Examples for Multiclass Object Detection.
NIPS
Joseph J. Lim, Ruslan Salakhutdinov, Antonio Torralba
2010 A* conf
Exploiting hierarchical context on a large database of object categories.
CVPR
Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky
2009 A* conf
Context by region ancestry.
ICCV
Joseph J. Lim, Pablo Arbeláez, Chunhui Gu, Jitendra Malik
2009 A* conf
Recognition using regions.
CVPR
Chunhui Gu, Joseph J. Lim, Pablo Arbeláez, Jitendra Malik
2007 — conf
A Distributed Message Passing Algorithm for Sensor Localization.
ICANN (1)
Max Welling, Joseph J. Lim