A Distributed Message Passing Algorithm for Sensor Localization. - Max Welling; Joseph J. Lim (ICANN (1), 2007)

Recognition using regions. - Chunhui Gu; Joseph J. Lim; Pablo Arbeláez; Jitendra Malik (CVPR, 2009)

Context by region ancestry. - Joseph J. Lim; Pablo Arbeláez; Chunhui Gu; Jitendra Malik (ICCV, 2009)

Exploiting hierarchical context on a large database of object categories. - Myung Jin Choi; Joseph J. Lim; Antonio Torralba 001; Alan S. Willsky (CVPR, 2010)

Transfer Learning by Borrowing Examples for Multiclass Object Detection. - Joseph J. Lim; Ruslan Salakhutdinov; Antonio Torralba 001 (NIPS, 2011)

Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. - Joseph J. Lim; C. Lawrence Zitnick; Piotr Dollár (CVPR, 2013)

Parsing IKEA Objects: Fine Pose Estimation. - Joseph J. Lim; Hamed Pirsiavash; Antonio Torralba 001 (ICCV, 2013)

Looking Beyond the Visible Scene. - Aditya Khosla; Byoungkwon An; Joseph J. Lim; Antonio Torralba 001 (CVPR, 2014)

FPM: Fine Pose Parts-Based Model with 3D CAD Models. - Joseph J. Lim; Aditya Khosla; Antonio Torralba 001 (ECCV (6), 2014)

Discovering states and transformations in image collections. - Phillip Isola; Joseph J. Lim; Edward H. Adelson (CVPR, 2015)

Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning. - Jiajun Wu 001; Ilker Yildirim; Joseph J. Lim; Bill Freeman; Joshua B. Tenenbaum (NIPS, 2015)

Toward visual understanding of everyday object. - Joseph J. Lim (2015)

Physics 101: Learning Physical Object Properties from Unlabeled Videos. - Jiajun Wu 001; Joseph J. Lim; Hongyi Zhang; Joshua B. Tenenbaum; William T. Freeman (BMVC, 2016)

Single Image 3D Interpreter Network. - Jiajun Wu 001; Tianfan Xue; Joseph J. Lim; Yuandong Tian; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (ECCV (6), 2016)

High-fidelity facial and speech animation for VR HMDs. - Kyle Olszewski; Joseph J. Lim; Shunsuke Saito; Hao Li 015 (ACM Trans. Graph., 2016)

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. - De-An Huang; Joseph J. Lim; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2017)

Knowledge Acquisition for Visual Question Answering via Iterative Querying. - Yuke Zhu; Joseph J. Lim; Li Fei-Fei 001 (CVPR, 2017)

Target-driven visual navigation in indoor scenes using deep reinforcement learning. - Yuke Zhu; Roozbeh Mottaghi; Eric Kolve; Joseph J. Lim; Abhinav Gupta 001; Li Fei-Fei 001; Ali Farhadi (ICRA, 2017)

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. - Karol Hausman; Yevgen Chebotar; Stefan Schaal; Gaurav S. Sukhatme; Joseph J. Lim (NIPS, 2017)

Demo2Vec: Reasoning Object Affordances From Online Videos. - Kuan Fang; Te-Lin Wu; Daniel Yang; Silvio Savarese; Joseph J. Lim (CVPR, 2018)

Learning and Using the Arrow of Time. - Donglai Wei 001; Joseph J. Lim; Andrew Zisserman; William T. Freeman (CVPR, 2018)

Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence. - Shao-Hua Sun; Minyoung Huh; Yuan-Hong Liao; Ning Zhang; Joseph J. Lim (ECCV (3), 2018)

Universal Agent for Disentangling Environments and Tasks. - Jiayuan Mao; Honghua Dong; Joseph J. Lim (ICLR (Poster), 2018)

Neural Program Synthesis from Diverse Demonstration Videos. - Shao-Hua Sun; Hyeonwoo Noh; Sriram Somasundaram; Joseph J. Lim (ICML, 2018)

Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. - Ryan Julian; Eric Heiden; Zhanpeng He; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (ISER, 2018)

Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. - Hejia Zhang; Eric Heiden; Ryan Julian; Zhangpeng He; Joseph J. Lim; Gaurav S. Sukhatme (CoRR, 2018)

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. - Zhanpeng He; Ryan Julian; Eric Heiden; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (CoRR, 2018)

Toward Multimodal Model-Agnostic Meta-Learning. - Risto Vuorio; Shao-Hua Sun; Hexiang Hu; Joseph J. Lim (CoRR, 2018)

3D Interpreter Networks for Viewer-Centered Wireframe Modeling. - Jiajun Wu 001; Tianfan Xue; Joseph J. Lim; Yuandong Tian; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (Int. J. Comput. Vis., 2018)

To Follow or not to Follow: Selective Imitation Learning from Observations. - Youngwoon Lee; Edward S. Hu; Zhengyu Yang 003; Joseph J. Lim (CoRL, 2019)

Composing Complex Skills by Learning Transition Policies. - Youngwoon Lee; Shao-Hua Sun; Sriram Somasundaram; Edward S. Hu; Joseph J. Lim (ICLR (Poster), 2019)

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. - Risto Vuorio; Shao-Hua Sun; Hexiang Hu; Joseph J. Lim (NeurIPS, 2019)

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. - Karl Pertsch; Oleh Rybkin; Jingyun Yang; Konstantinos G. Derpanis; Joseph J. Lim; Kostas Daniilidis; Andrew Jaegle (CoRR, 2019)

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. - Youngwoon Lee; Edward S. Hu; Zhengyu Yang 003; Alex Yin; Joseph J. Lim (CoRR, 2019)

Accelerating Reinforcement Learning with Learned Skill Priors. - Karl Pertsch; Youngwoon Lee; Joseph J. Lim (CoRL, 2020)

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. - Jun Yamada; Youngwoon Lee; Gautam Salhotra; Karl Pertsch; Max Pflueger; Gaurav S. Sukhatme; Joseph J. Lim; Peter Englert (CoRL, 2020)

Learning to Coordinate Manipulation Skills via Skill Behavior Diversification. - Youngwoon Lee; Jingyun Yang; Joseph J. Lim (ICLR, 2020)

Program Guided Agent. - Shao-Hua Sun; Te-Lin Wu; Joseph J. Lim (ICLR, 2020)

Generalization to New Actions in Reinforcement Learning. - Ayush Jain 003; Andrew Szot; Joseph J. Lim (ICML, 2020)

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning. - Karl Pertsch; Oleh Rybkin; Jingyun Yang; Shenghao Zhou; Konstantinos G. Derpanis; Kostas Daniilidis; Joseph J. Lim; Andrew Jaegle (L4DC, 2020)

Scaling simulation-to-real transfer by learning a latent space of robot skills. - Ryan Julian; Eric Heiden; Zhanpeng He; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (Int. J. Robotics Res., 2020)

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. - Youngwoon Lee; Joseph J. Lim; Anima Anandkumar; Yuke Zhu (CoRL, 2021)

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. - I-Chun Arthur Liu; Shagun Uppal; Gaurav S. Sukhatme; Joseph J. Lim; Peter Englert; Youngwoon Lee (CoRL, 2021)

Demonstration-Guided Reinforcement Learning with Learned Skills. - Karl Pertsch; Youngwoon Lee; Yue Wu; Joseph J. Lim (CoRL, 2021)

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. - Taehyeong Kim; Injune Hwang; Hyundo Lee; Hyunseo Kim 001; Won-Seok Choi 006; Joseph J. Lim; Byoung-Tak Zhang (ICML, 2021)

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. - Youngwoon Lee; Edward S. Hu; Joseph J. Lim (ICRA, 2021)

Generalizable Imitation Learning from Observation via Inferring Goal Proximity. - Youngwoon Lee; Andrew Szot; Shao-Hua Sun; Joseph J. Lim (NeurIPS, 2021)

Learning to Synthesize Programs as Interpretable and Generalizable Policies. - Dweep Trivedi; Jesse Zhang; Shao-Hua Sun; Joseph J. Lim (NeurIPS, 2021)

Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. - Grace Zhang; Linghan Zhong; Youngwoon Lee; Joseph J. Lim (Robotics: Science and Systems, 2021)

Cross-Domain Transfer via Semantic Skill Imitation. - Karl Pertsch; Ruta Desai; Vikash Kumar; Franziska Meier; Joseph J. Lim; Dhruv Batra; Akshara Rai (CoRL, 2022)

Skill-based Model-based Reinforcement Learning. - Lucy Xiaoyang Shi; Joseph J. Lim; Youngwoon Lee (CoRL, 2022)

Know Your Action Set: Learning Action Relations for Reinforcement Learning. - Ayush Jain 003; Norio Kosaka; Kyung-Min Kim; Joseph J. Lim (ICLR, 2022)

Skill-based Meta-Reinforcement Learning. - Taewook Nam; Shao-Hua Sun; Karl Pertsch; Sung Ju Hwang; Joseph J. Lim (ICLR, 2022)

Task-Induced Representation Learning. - Jun Yamada; Karl Pertsch; Anisha Gunjal; Joseph J. Lim (ICLR, 2022)

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. - Jesse Zhang; Jiahui Zhang; Karl Pertsch; Ziyi Liu; Xiang Ren; Minsuk Chang; Shao-Hua Sun; Joseph J. Lim (CoRL, 2023)

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. - Shivin Dass; Karl Pertsch; Hejia Zhang; Youngwoon Lee; Joseph J. Lim; Stefanos Nikolaidis (Robotics: Science and Systems, 2023)

FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. - Minho Heo; Youngwoon Lee; Doohyun Lee; Joseph J. Lim (Robotics: Science and Systems, 2023)

Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing. - Grace Zhang; Ayush Jain 003; Injune Hwang; Shao-Hua Sun; Joseph J. Lim (CoRR, 2023)

Hierarchical Neural Program Synthesis. - Linghan Zhong; Ryan Lindeborg; Jesse Zhang; Joseph J. Lim; Shao-Hua Sun (CoRR, 2023)

LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. - Taewook Nam; Juyong Lee; Jesse Zhang; Sung Ju Hwang; Joseph J. Lim; Karl Pertsch (CoRR, 2023)

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. - Jesse Zhang; Minho Heo; Zuxin Liu; Erdem Biyik; Joseph J. Lim; Yao Liu 009; Rasool Fakoor (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. - Jesse Zhang; Karl Pertsch; Jiahui Zhang; Joseph J. Lim (ICRA, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. - Jesse Zhang; Minho Heo; Zuxin Liu; Erdem Biyik; Joseph J. Lim; Yao Liu 009; Rasool Fakoor (CoRR, 2024)

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions. - Ayush Jain 003; Norio Kosaka; Xinhu Li; Kyung-Min Kim; Erdem Biyik; Joseph J. Lim (CoRR, 2024)

Subtask-Aware Visual Reward Learning from Segmented Demonstrations. - Changyeon Kim; Minho Heo; Doohyun Lee; Honglak Lee; Jinwoo Shin; Joseph J. Lim; Kimin Lee (ICLR, 2025)

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing. - Grace Zhang; Ayush Jain 003; Injune Hwang; Shao-Hua Sun; Joseph J. Lim (ICLR, 2025)

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations. - Jiahui Zhang; Yusen Luo; Abrar Anwar; Sumedh Anand Sontakke; Joseph J. Lim; Jesse Thomason; Erdem Biyik; Jesse Zhang (CoRR, 2025)

N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout. - Kaixin Chai; Hyunjun Lee; Joseph J. Lim (CoRR, 2025)