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Sangmin Oh
Sangmin Oh
Software, Artificial Intelligence, Robotics
Geverifieerd e-mailadres voor sangminoh.org - Homepage
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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
8322011
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
2452006
Learning and inferring motion patterns using parametric segmental switching linear dynamic systems
SM Oh, JM Rehg, T Balch, F Dellaert
Georgia Institute of Technology, 2008
1742008
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
1052007
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
982013
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
942010
Map-based priors for localization
SM Oh, S Tariq, BN Walker, F Dellaert
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004
782004
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
762013
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
612014
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
602014
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
602005
Data-driven MCMC for learning and inference in switching linear dynamic systems
SM Oh, JM Rehg, T Balch, F Dellaert
Georgia Institute of Technology, 2005
512005
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
382006
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
352009
Videography-based unconstrained video analysis
K Li, S Li, S Oh, Y Fu
IEEE Transactions on Image Processing 26 (5), 2261-2273, 2017
272017
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
262011
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
262010
Augmenting aerial earth maps with dynamic information from videos
K Kim, S Oh, J Lee, I Essa
Virtual reality 15, 185-200, 2011
202011
Explicit performance metric optimization for fusion-based video retrieval
I Kim, S Oh, B Byun, AGA Perera, CH Lee
Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012
192012
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
172005
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Artikelen 1–20