Joseph J. Lim

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Youngwoon LeeYonsei UniversityDirección de correo verificada de yonsei.ac.kr
Shao-Hua SunAssistant Professor at National Taiwan UniversityDirección de correo verificada de ntu.edu.tw
Karl PertschUC Berkeley, Stanford UniversityDirección de correo verificada de berkeley.edu
Antonio TorralbaProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Jiajun WuStanford UniversityDirección de correo verificada de cs.stanford.edu
Gaurav SukhatmeProfessor, Departments of CS and ECE, USCDirección de correo verificada de usc.edu
Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
William T. FreemanProfessor of Computer Science, MITDirección de correo verificada de mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Pablo ArbelaezUniversidad de los Andes, ColombiaDirección de correo verificada de uniandes.edu.co
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceDirección de correo verificada de google.com
Karol HausmanGoogle Brain, StanfordDirección de correo verificada de google.com
Hexiang (Frank) HuGoogle DeepmindDirección de correo verificada de google.com
Risto VuorioUniversity of OxfordDirección de correo verificada de cs.ox.ac.uk
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Ali FarhadiProfessor, Computer Science and Engineering, University of WashingtonDirección de correo verificada de cs.uw.edu
Roozbeh MottaghiFAIR, MetaDirección de correo verificada de cs.stanford.edu
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongDirección de correo verificada de ie.cuhk.edu.hk
Chunhui GuGoogle Inc.Dirección de correo verificada de google.com

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Joseph J. Lim

Associate Professor at KAIST

Dirección de correo verificada de csail.mit.edu - Página principal

Machine Learning AI Reinforcement Learning Robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1767	2017
Recognition using regions C Gu, JJ Lim, P Arbeláez, J Malik Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009	554	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	528	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	434	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	401	2015
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	378	2018
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	362	2016
Parsing IKEA Objects: Fine Pose Estimation JJ Lim, H Pirsiavash, A Torralba IEEE International Conference on Computer Vision, 2013, 2013	328	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	273*	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	236	2015
Accelerating reinforcement learning with learned skill priors K Pertsch, Y Lee, J Lim Conference on robot learning, 188-204, 2021	202	2021
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	177	2017
Transfer learning by borrowing examples for multiclass object detection JJ Lim, R Salakhutdinov, A Torralba NIPS, 2011	174	2011
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	150	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	149	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	145	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	133	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	109	2021
Looking Beyond the Visible Scene A Khosla, B An, JJ Lim, A Torralba	95	2014
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	94	2018

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