Joseph J. Lim

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Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.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
Youngwoon LeePh.D. Student at USCVerified email at usc.edu
Gaurav SukhatmeProfessor and Fletcher Jones Endowed Chair, Departments of Computer Science and ElectricalVerified email at usc.edu
Shao-Hua SunPh.D. candidate in Computer Science at the University of Southern CaliforniaVerified 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
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Karol HausmanGoogle Brain, StanfordVerified email at google.com
Karl PertschUniversity of Southern CaliforniaVerified email at usc.edu
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Tianfan XueGoogle ResearchVerified email at csail.mit.edu
Yuandong TianResearch Scientist, Meta/Facebook AI Research (FAIR)Verified email at fb.com
Chunhui GuGoogle Inc.Verified 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 MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu

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	1239	2017
Recognition using regions C Gu, JJ Lim, P Arbeláez, J Malik Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009	531	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	460	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	388	2010
Single image 3d interpreter network J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman European Conference on Computer Vision, 365-382, 2016	331	2016
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	316	2015
Parsing IKEA Objects: Fine Pose Estimation JJ Lim, H Pirsiavash, A Torralba IEEE International Conference on Computer Vision, 2013, 2013	275	2013
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	248	2018
Transfer learning by borrowing examples for multiclass object detection JJ Lim, R Salakhutdinov, A Torralba NIPS, 2011	164	2011
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	136*	2019
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	134	2017
Fpm: Fine pose parts-based model with 3d cad models JJ Lim, A Khosla, A Torralba European conference on computer vision, 478-493, 2014	120	2014
Discovering states and transformations in image collections P Isola, JJ Lim, EH Adelson Proceedings of the IEEE conference on computer vision and pattern …, 2015	119	2015
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	111	2016
Physics 101: Learning Physical Object Properties from Unlabeled Videos. J Wu, JJ Lim, H Zhang, JB Tenenbaum, WT Freeman BMVC 2 (6), 7, 2016	106	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	97	2018
Looking Beyond the Visible Scene A Khosla, B An, JJ Lim, A Torralba	85	2014
Context by region ancestry JJ Lim, P Arbeláez, C Gu, J Malik Computer Vision, 2009 IEEE 12th International Conference on, 1978-1985, 2009	78	2009
Demo2vec: Reasoning object affordances from online videos K Fang, TL Wu, D Yang, S Savarese, JJ Lim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	53	2018
Accelerating reinforcement learning with learned skill priors K Pertsch, Y Lee, JJ Lim arXiv preprint arXiv:2010.11944, 2020	51	2020

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