Joseph J. Lim

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Youngwoon LeePostdoc at UC BerkeleyVerified email at berkeley.edu
Shao-Hua SunAssistant Professor at National Taiwan UniversityVerified email at ntu.edu.tw
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Karl PertschUniversity of Southern CaliforniaVerified email at usc.edu
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
Joshua B. TenenbaumMITVerified email at mit.edu
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
Gaurav SukhatmeProfessor and Fletcher Jones Endowed Chair, Departments of Computer Science and ElectricalVerified email at usc.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Pablo ArbelaezUniversidad de los Andes, ColombiaVerified email at uniandes.edu.co
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Karol HausmanGoogle Brain, StanfordVerified email at google.com
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ali FarhadiProfessor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Roozbeh MottaghiFAIR, Meta AIVerified email at cs.stanford.edu
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Hexiang (Frank) HuGoogle DeepmindVerified email at google.com
Risto VuorioUniversity of OxfordVerified email at cs.ox.ac.uk
Chunhui GuGoogle Inc.Verified email at google.com

Joseph J. Lim

Associate Professor at KAIST

Verified email at csail.mit.edu - Homepage

Machine Learning AI Reinforcement Learning Robotics


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Target-driven visual navigation in indoor scenes using deep reinforcement learning Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi 2017 IEEE international conference on robotics and automation (ICRA), 3357-3364, 2017	1625	2017
Recognition using regions C Gu, JJ Lim, P Arbeláez, J Malik Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009	544	2009
Sketch tokens: A learned mid-level representation for contour and object detection JJ Lim, CL Zitnick, P Dollár Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on …, 2013	516	2013
Exploiting hierarchical context on a large database of object categories MJ Choi, JJ Lim, A Torralba, AS Willsky 2010 IEEE computer society conference on computer vision and pattern …, 2010	421	2010
Galileo: Perceiving physical object properties by integrating a physics engine with deep learning J Wu, I Yildirim, JJ Lim, B Freeman, J Tenenbaum Advances in neural information processing systems 28, 2015	377	2015
Single image 3d interpreter network J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	358	2016
Learning and using the arrow of time D Wei, JJ Lim, A Zisserman, WT Freeman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	344	2018
Parsing IKEA Objects: Fine Pose Estimation JJ Lim, H Pirsiavash, A Torralba IEEE International Conference on Computer Vision, 2013, 2013	310	2013
Multimodal model-agnostic meta-learning via task-aware modulation R Vuorio, SH Sun, H Hu, JJ Lim Advances in neural information processing systems 32, 2019	235*	2019
Discovering states and transformations in image collections P Isola, JJ Lim, EH Adelson Proceedings of the IEEE conference on computer vision and pattern …, 2015	197	2015
Transfer learning by borrowing examples for multiclass object detection JJ Lim, R Salakhutdinov, A Torralba NIPS, 2011	174	2011
Multi-modal imitation learning from unstructured demonstrations using generative adversarial nets K Hausman, Y Chebotar, S Schaal, G Sukhatme, JJ Lim Advances in neural information processing systems 30, 2017	160	2017
Accelerating reinforcement learning with learned skill priors K Pertsch, Y Lee, J Lim Conference on robot learning, 188-204, 2021	158	2021
High-fidelity facial and speech animation for VR HMDs K Olszewski, JJ Lim, S Saito, H Li ACM Transactions on Graphics (TOG) 35 (6), 1-14, 2016	149	2016
Multi-view to novel view: Synthesizing novel views with self-learned confidence SH Sun, M Huh, YH Liao, N Zhang, JJ Lim Proceedings of the European Conference on Computer Vision (ECCV), 155-171, 2018	139	2018
Physics 101: Learning Physical Object Properties from Unlabeled Videos. J Wu, JJ Lim, H Zhang, JB Tenenbaum, WT Freeman BMVC 2 (6), 7, 2016	136	2016
Fpm: Fine pose parts-based model with 3d cad models JJ Lim, A Khosla, A Torralba Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	129	2014
Looking Beyond the Visible Scene A Khosla, B An, JJ Lim, A Torralba	88	2014
IKEA furniture assembly environment for long-horizon complex manipulation tasks Y Lee, ES Hu, Z Yang, A Yin, JJ Lim International Conference on Robotics and Automation, 2021	86	2021
Keyframing the future: Keyframe discovery for visual prediction and planning K Pertsch, O Rybkin, J Yang, S Zhou, K Derpanis, K Daniilidis, J Lim, ... Learning for Dynamics and Control, 969-979, 2020	81*	2020

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