Sangmin Oh
Sangmin Oh
Software, Artificial Intelligence, Robotics
Vahvistettu sähköpostiosoite verkkotunnuksessa sangminoh.org - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
5592011
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
2082006
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 (1-3), 103-124, 2008
1432008
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
972007
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
792010
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
772013
Map-based priors for localization
SM Oh, S Tariq, BN Walker, F Dellaert
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004
722004
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
712013
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 (1), 49-69, 2014
542014
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
542005
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
432005
TRECVID 2012 GENIE: Multimedia event detection and recounting
AGA Perera, S Oh, P Megha, T Ma, A Hoogs, A Vahdat, K Cannons, ...
In TRECVID Workshop, 2012
372012
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
332006
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
292009
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
222010
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
172012
Content-based retrieval of functional objects in video using scene context
S Oh, A Hoogs, M Turek, R Collins
European Conference on Computer Vision, 549-562, 2010
162010
Videography-based unconstrained video analysis
K Li, S Li, S Oh, Y Fu
IEEE Transactions on Image Processing 26 (5), 2261-2273, 2017
152017
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
152005
A variational inference method for switching linear dynamic systems
SM Oh, A Ranganathan, JM Rehg, F Dellaert
Georgia Institute of Technology, 2005
152005
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Artikkelit 1–20