Sangmin Oh

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Amitha PereraSoftware Engineer, LaceworkDirección de correo verificada de thepereras.org
Anthony HoogsSenior Director of Computer Vision, Kitware, Inc.Dirección de correo verificada de kitware.com
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Frank DellaertProfessor, Georgia TechDirección de correo verificada de cc.gatech.edu
Naresh CuntoorLead Scientist, Intelligent Automation IncDirección de correo verificada de i-a-i.com
Larry DavisProfessor of Computer Science, University of MarylandDirección de correo verificada de cs.umd.edu
ilseo kimAmazonDirección de correo verificada de amazon.com
Antonio TorralbaProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Amit K. Roy-ChowdhuryProfessor and UC Presidential Chair, UC Riverside; Fellow IEEE, IAPRDirección de correo verificada de ece.ucr.edu
Carl VondrickAssociate Professor, Columbia UniversityDirección de correo verificada de columbia.edu
Qiang JiProfessor of Electrical Eng., RPIDirección de correo verificada de ecse.rpi.edu
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaDirección de correo verificada de crcv.ucf.edu
Hamed PirsiavashAssociate Professor at University of California, DavisDirección de correo verificada de ucdavis.edu
Bi SongSony Electronics IncDirección de correo verificada de ieee.org
Jong Taek LeeKyungpook National UniversityDirección de correo verificada de utexas.edu
Chia-Chih ChenNVIDIADirección de correo verificada de utexas.edu
Kishore Kumar ReddyAssociate Director Research, Raytheon Technologies Research CenterDirección de correo verificada de mail.ucf.edu
Hyungtae LeeBlueHaloDirección de correo verificada de bluehalo.com
Xiaoyang WangTencent AI Lab, Bellevue, WADirección de correo verificada de global.tencent.com

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Sangmin Oh

Software, Artificial Intelligence, Robotics

Dirección de correo verificada de sangminoh.org - Página principal

computer vision machine learning robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	950	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	261	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	188	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	109	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	102	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	93	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	85	2004
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	78	2013
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	77	2014
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	64	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	50	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	39	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	30	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	22	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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