Joseph J. Lim

发表

Transfer Learning by Borrowing Examples for Multiclass Object Detection

Antonio Torralba, Joseph J. Lim, Ruslan Salakhutdinov, 2011, NIPS.

Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018 .

Andrew Zisserman, William T. Freeman, Joseph J. Lim, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments pdf

Gaurav S. Sukhatme, Peter Englert, Joseph J. Lim, 2020, CoRL.

Recognition using regions

Joseph J. Lim, Pablo Andrés Arbeláez, Jitendra Malik, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation

Joseph J. Lim, Shao-Hua Sun, Hexiang Hu, 2019, NeurIPS.

A Distributed Message Passing Algorithm for Sensor Localization

Max Welling, Joseph J. Lim, 2007, ICANN.

Discovering states and transformations in image collections

Edward H. Adelson, Joseph J. Lim, Phillip Isola, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos

Juan Carlos Niebles, Fei-Fei Li, Joseph J. Lim, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Exploiting hierarchical context on a large database of object categories

Antonio Torralba, Joseph J. Lim, Alan S. Willsky, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning

Jiajun Wu, Joshua B. Tenenbaum, Joseph J. Lim, 2015, NIPS.

Universal Agent for Disentangling Environments and Tasks

Joseph J. Lim, Jiayuan Mao, Honghua Dong, 2018, ICLR.

Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation pdf

Gaurav S. Sukhatme, Joseph J. Lim, Eric Heiden, 2018, ArXiv.

IntentionGAN: MultiModal Imitation Learningfrom Unstructured Demonstrations

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2017 .

Parsing IKEA Objects: Fine Pose Estimation

Antonio Torralba, Joseph J. Lim, Hamed Pirsiavash, 2013, 2013 IEEE International Conference on Computer Vision.

Learning to Coordinate Manipulation Skills via Skill Behavior Diversification

Joseph J. Lim, Jingyun Yang, Youngwoon Lee, 2020, ICLR.

Demo2Vec: Reasoning Object Affordances from Online Videos

Silvio Savarese, Joseph J. Lim, Kuan Fang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Keyframing the Future: Discovering Temporal Hierarchy with Keyframe-Inpainter Prediction

Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle, 2019 .

Generalizing Reinforcement Learning to Unseen Actions

Joseph J. Lim, Ayush Jain, Andrew Szot, 2019 .

Neural Program Synthesis from Diverse Demonstration Videos

Hyeonwoo Noh, Joseph J. Lim, Sriram Somasundaram, 2018, ICML.

To Follow or not to Follow: Selective Imitation Learning from Observations

Joseph J. Lim, Zhengyu Yang, Youngwoon Lee, 2019, CoRL.

Looking Beyond the Visible Scene

Byoungkwon An, Antonio Torralba, Joseph J. Lim, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills

Gaurav S. Sukhatme, Joseph J. Lim, Eric Heiden, 2018, ICRA 2019.

Toward Multimodal Model-Agnostic Meta-Learning pdf

Joseph J. Lim, Hexiang Hu, Risto Vuorio, 2018, ArXiv.

3D Interpreter Networks for Viewer-Centered Wireframe Modeling

Yuandong Tian, Jiajun Wu, Joshua B. Tenenbaum, 2018, International Journal of Computer Vision.

Generalization to New Actions in Reinforcement Learning

Joseph J. Lim, Ayush Jain, Andrew Szot, 2020, ICML.

Program Guided Agent

Joseph J. Lim, Shao-Hua Sun, Te-Lin Wu, 2020, ICLR.

Single Image 3D Interpreter Network pdf

Yuandong Tian, Jiajun Wu, Joshua B. Tenenbaum, 2016, ECCV.

FPM: Fine Pose Parts-Based Model with 3D CAD Models

Antonio Torralba, Joseph J. Lim, Aditya Khosla, 2014, ECCV.

Accelerating Reinforcement Learning with Learned Skill Priors pdf

Joseph J. Lim, Karl Pertsch, Youngwoon Lee, 2020, CoRL.

High-fidelity facial and speech animation for VR HMDs

Joseph J. Lim, Hao Li, Shunsuke Saito, 2016, ACM Trans. Graph..

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2017, NIPS.

IntentionGAN: MultiTask Imitation Learningfrom Unstructured Demonstrations

Yevgen Chebotar, Karol Hausman, Joseph J. Lim, 2017 .

Composing Complex Skills by Learning Transition Policies

Joseph J. Lim, Sriram Somasundaram, Shao-Hua Sun, 2018, ICLR.

Scaling simulation-to-real transfer by learning a latent space of robot skills

Karol Hausman, Joseph J. Lim, Eric Heiden, 2020, Int. J. Robotics Res..

Recognition using regions

Jitendra Malik, Joseph J. Lim, Chunhui Gu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Model-Agnostic Meta-Learning for Multimodal Task Distributions

Joseph J. Lim, Hexiang Hu, Risto Vuorio, 2018 .

Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence

Ning Zhang, Joseph J. Lim, Minyoung Huh, 2018, ECCV.

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks pdf

Joseph J. Lim, Zhengyu Yang, Youngwoon Lee, 2019, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Toward visual understanding of everyday object

Joseph J. Lim, Joseph J. Lim, 2015 .

Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection

Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Target-driven visual navigation in indoor scenes using deep reinforcement learning

Ali Farhadi, Li Fei-Fei, Yuke Zhu, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Context by region ancestry

Jitendra Malik, Joseph J. Lim, Pablo Andrés Arbeláez, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Motion Planner Augmented Action Spaces for Reinforcement Learning

Gaurav S. Sukhatme, Peter Englert, Joseph J. Lim, 2020 .

Learning from Noisy Demonstration Sets via Meta-Learned Suitability Assessor

Joseph J. Lim, Carl Vondrick, Jingyun Yang, 2018 .

Scaling simulation-to-real transfer by learning composable robot skills

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018, ISER.

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations pdf

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018, ArXiv.

Knowledge Acquisition for Visual Question Answering via Iterative Querying

Li Fei-Fei, Yuke Zhu, Joseph J. Lim, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Physics 101: Learning Physical Object Properties from Unlabeled Videos

Jiajun Wu, Joshua B. Tenenbaum, William T. Freeman, 2016, BMVC.

Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding pdf

Joseph J. Lim, Grace Zhang, Linghan Zhong, 2021, Robotics: Science and Systems.

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

Gaurav S. Sukhatme, Peter Englert, Joseph J. Lim, 2021, CoRL.

Learning to Synthesize Programs as Interpretable and Generalizable Policies pdf

Joseph J. Lim, Dweep Trivedi, Jesse Zhang, 2021, ArXiv.

Demonstration-Guided Reinforcement Learning with Learned Skills

Joseph J. Lim, Karl Pertsch, Yue Wu, 2021, CoRL.

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization

Joseph J. Lim, Yuke Zhu, Anima Anandkumar, 2021, CoRL.

Learning to Coordinate Manipulation Skills via Skill Behavior Diversification

Joseph J. Lim, Jingyun Yang, Youngwoon Lee, 2020, International Conference on Learning Representations.

Generalizable Imitation Learning from Observation via Inferring Goal Proximity

Joseph J. Lim, Youngwoon Lee, Andrew Szot, 2021, NeurIPS.

Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robotic Manipulation Skills

Joseph J. Lim, G. Sukhatme, S. Nikolaidis, 2019 .

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction

Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle, 2019, ArXiv.

Skill-based Model-based Reinforcement Learning

Joseph J. Lim, Youngwoon Lee, Lu Shi, 2022, Conference on Robot Learning.

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning

Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle, 2019, L4DC.

S KILL - BASED M ETA -R EINFORCEMENT L EARNING

Joseph J. Lim, Karl Pertsch, Taewook Nam, 2022 .

Cross-Domain Transfer via Semantic Skill Imitation

Joseph J. Lim, Vikash Kumar, Franziska Meier, 2022, CoRL.

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection

Joseph J. Lim, S. Nikolaidis, Hejia Zhang, 2022, Robotics: Science and Systems.

Skill-based Model-based Reinforcement Learning

Joseph J. Lim, Youngwoon Lee, Lu Shi, 2022, CoRL.

SPRINT: Scalable Semantic Policy Pre-Training via Language Instruction Relabeling

Joseph J. Lim, Sung Ju Hwang, Xiang Ren, 2022 .

Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing

Joseph J. Lim, Grace Zhang, Ayush Jain, 2023, ArXiv.

Skill-based Meta-Reinforcement Learning

Joseph J. Lim, Karl Pertsch, Taewook Nam, 2022, ICLR.

Task-Induced Representation Learning

Joseph J. Lim, Karl Pertsch, Jun Yamada, 2022, ICLR.

Hierarchical Neural Program Synthesis

Joseph J. Lim, Jesse Zhang, Ryan Lindeborg, 2023, ArXiv.

Learning to Synthesize Programs as Interpretable and Generalizable Policies

Joseph J. Lim, Jesse Zhang, Shao-Hua Sun, 2021, NeurIPS.

Know Your Action Set: Learning Action Relations for Reinforcement Learning

Joseph J. Lim, Ayush Jain, Norio Kosaka, 2022, International Conference on Learning Representations.

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection

Joseph J. Lim, S. Nikolaidis, Hejia Zhang, 2022, Robotics: Science and Systems.

Assisted Teleoperation for Scalable Robot Data Collection

Joseph J. Lim, S. Nikolaidis, Hejia Zhang, 2022 .

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling

Joseph J. Lim, Jesse Zhang, Karl Pertsch, 2023, ArXiv.

FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation

Joseph J. Lim, Youngwoon Lee, Minho Heo, 2023, Robotics: Science and Systems.

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling

Joseph J. Lim, Jesse Zhang, Karl Pertsch, 2023, ArXiv.