| 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 | 960 | 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 | 190 | 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 | 110 | 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 |
| 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 | 78 | 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 | 65 | 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 |
Amitha PereraSoftware Engineer, LaceworkVerified email at thepereras.org