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
ilseo kimAmazonDirección de correo verificada de amazon.com
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
Antonio TorralbaProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Amit K. Roy-ChowdhuryProfessor and Bourns Family Faculty Fellow, 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 ChenSalesforce AI ResearchDirección de correo verificada de utexas.edu
Kishore Kumar ReddyAssociate Director Research, Raytheon Technologies Research CenterDirección de correo verificada de mail.ucf.edu
Hyungtae LeeU.S. Army Research LaboratoryDirección de correo verificada de mail.mil
Xiaoyang WangTencent AI Lab, Bellevue, WADirección de correo verificada de 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	875	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	250	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	184	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	105	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	101	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	94	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	79	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	77	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	62	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	62	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	55	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
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	38	2006
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	36	2009
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
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	26	2011
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	26	2010
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
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
Mixture trees for modeling and fast conditional sampling with applications in vision and graphics F Dellaert, V Kwatra, SM Oh 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	17	2005

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