Sangmin Oh

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Amitha PereraSoftware Engineer, LaceworkAdresă de e-mail confirmată pe thepereras.org
Anthony HoogsSenior Director of Computer Vision, Kitware, Inc.Adresă de e-mail confirmată pe kitware.com
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignAdresă de e-mail confirmată pe illinois.edu
Frank DellaertProfessor, Georgia TechAdresă de e-mail confirmată pe cc.gatech.edu
Naresh CuntoorLead Scientist, Intelligent Automation IncAdresă de e-mail confirmată pe i-a-i.com
Larry DavisProfessor of Computer Science, University of MarylandAdresă de e-mail confirmată pe cs.umd.edu
ilseo kimAmazonAdresă de e-mail confirmată pe amazon.com
Antonio TorralbaProfessor of Computer Science, MITAdresă de e-mail confirmată pe csail.mit.edu
Amit K. Roy-ChowdhuryProfessor and UC Presidential Chair, UC Riverside; Fellow IEEE, IAPRAdresă de e-mail confirmată pe ece.ucr.edu
Carl VondrickAssociate Professor, Columbia UniversityAdresă de e-mail confirmată pe columbia.edu
Qiang JiProfessor of Electrical Eng., RPIAdresă de e-mail confirmată pe ecse.rpi.edu
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaAdresă de e-mail confirmată pe crcv.ucf.edu
Hamed PirsiavashAssociate Professor at University of California, DavisAdresă de e-mail confirmată pe ucdavis.edu
Bi SongSony Electronics IncAdresă de e-mail confirmată pe ieee.org
Jong Taek LeeKyungpook National UniversityAdresă de e-mail confirmată pe utexas.edu
Chia-Chih ChenNVIDIAAdresă de e-mail confirmată pe utexas.edu
Kishore Kumar ReddyAssociate Director Research, Raytheon Technologies Research CenterAdresă de e-mail confirmată pe mail.ucf.edu
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Sangmin Oh

Software, Artificial Intelligence, Robotics

Adresă de e-mail confirmată pe sangminoh.org - Pagina de pornire

computer vision machine learning robotics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	998	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	194	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	113	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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