Sangmin Oh

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Amitha PereraSoftware Engineer, LaceworkEmail yang diverifikasi di thepereras.org
Anthony HoogsSenior Director of Computer Vision, Kitware, Inc.Email yang diverifikasi di kitware.com
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignEmail yang diverifikasi di illinois.edu
Frank DellaertProfessor, Georgia TechEmail yang diverifikasi di cc.gatech.edu
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Larry DavisProfessor of Computer Science, University of MarylandEmail yang diverifikasi di cs.umd.edu
ilseo kimAmazonEmail yang diverifikasi di amazon.com
Antonio TorralbaProfessor of Computer Science, MITEmail yang diverifikasi di csail.mit.edu
Amit K. Roy-ChowdhuryProfessor and UC Presidential Chair, UC Riverside; Fellow IEEE, IAPREmail yang diverifikasi di ece.ucr.edu
Carl VondrickAssociate Professor, Columbia UniversityEmail yang diverifikasi di columbia.edu
Qiang JiProfessor of Electrical Eng., RPIEmail yang diverifikasi di ecse.rpi.edu
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaEmail yang diverifikasi di crcv.ucf.edu
Hamed PirsiavashAssociate Professor at University of California, DavisEmail yang diverifikasi di ucdavis.edu
Bi SongSony Electronics IncEmail yang diverifikasi di ieee.org
Jong Taek LeeKyungpook National UniversityEmail yang diverifikasi di utexas.edu
Chia-Chih ChenNVIDIAEmail yang diverifikasi di utexas.edu
Kishore Kumar ReddyAssociate Director Research, Raytheon Technologies Research CenterEmail yang diverifikasi di mail.ucf.edu
Hyungtae LeeBlueHaloEmail yang diverifikasi di bluehalo.com
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Ikuti

Sangmin Oh

Software, Artificial Intelligence, Robotics

Email yang diverifikasi di sangminoh.org - Beranda

computer vision machine learning robotics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
A large-scale benchmark dataset for event recognition in surveillance video S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ... CVPR 2011, 3153-3160, 2011	1003	2011
Traversability classification using unsupervised on-line visual learning for outdoor robot navigation D Kim, J Sun, SM Oh, JM Rehg, AF Bobick Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006	265	2006
Learning and inferring motion patterns using parametric segmental switching linear dynamic systems SM Oh, JM Rehg, T Balch, F Dellaert International Journal of Computer Vision 77, 103-124, 2008	195	2008
Traversability classification for UGV navigation: A comparison of patch and superpixel representations D Kim, SM Oh, JM Rehg 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007	114	2007
A minimum error vanishing point detection approach for uncalibrated monocular images of man-made environments Y Xu, S Oh, A Hoogs Proceedings of the IEEE conference on computer vision and pattern …, 2013	108	2013
Temporal causality for the analysis of visual events K Prabhakar, S Oh, P Wang, GD Abowd, JM Rehg 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	92	2010
Map-based priors for localization SM Oh, S Tariq, BN Walker, F Dellaert 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004	86	2004
Systems and methods for retrieving causal sets of events from unstructured signals JM Rehg, K Prabhakar, S Oh, P Wang, GD Abowd US Patent 8,909,025, 2014	80	2014
Compositional models for video event detection: A multiple kernel learning latent variable approach A Vahdat, K Cannons, G Mori, S Oh, I Kim Proceedings of the IEEE International Conference on Computer Vision, 1185-1192, 2013	80	2013
Multimedia event detection with multimodal feature fusion and temporal concept localization S Oh, S McCloskey, I Kim, A Vahdat, KJ Cannons, H Hajimirsadeghi, ... Machine vision and applications 25, 49-69, 2014	67	2014
Learning and inference in parametric switching linear dynamic systems SM Oh, JM Rehg, T Balch, F Dellaert Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005	53	2005
Data-driven MCMC for learning and inference in switching linear dynamic systems SM Oh, JM Rehg, T Balch, F Dellaert Proceedings of the national conference on artificial intelligence 20 (2), 944, 2005	51	2005
Augmenting aerial earth maps with dynamic information K Kim, S Oh, J Lee, I Essa 2009 8th IEEE International Symposium on Mixed and Augmented Reality, 35-38, 2009	38	2009
Parameterized duration mmodeling for switching linear dynamic systems SM Oh, JM Rehg, F Dellaert 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	37	2006
Videography-based unconstrained video analysis K Li, S Li, S Oh, Y Fu IEEE Transactions on Image Processing 26 (5), 2261-2273, 2017	29	2017
Learning visibility of landmarks for vision-based localization PF Alcantarilla, SM Oh, GL Mariottini, LM Bergasa, F Dellaert 2010 IEEE International Conference on Robotics and Automation, 4881-4888, 2010	25	2010
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video Q Ji, X Wang, L Davis, H Lee, JK Aggarwal, S Mukherjee, JT Lee, ... 2011 8th IEEE international conference on advanced video and signal based …, 2011	24	2011
Augmenting aerial earth maps with dynamic information from videos K Kim, S Oh, J Lee, I Essa Virtual reality 15, 185-200, 2011	21	2011
A variational inference method for switching linear dynamic systems SM Oh, A Ranganathan, JM Rehg, F Dellaert Georgia Inst. Technol., 2005	19	2005
Explicit performance metric optimization for fusion-based video retrieval I Kim, S Oh, B Byun, AGA Perera, CH Lee European Conference on Computer Vision, 395-405, 2012	18	2012

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