Kyungnam Kim, Ph.D.
Affiliations: | 2005 | University of Maryland, College Park, College Park, MD |
Area:
Artificial Intelligence,Computer VisionGoogle:
"Kyungnam Kim"Parents
Sign in to add mentor| Larry S. Davis | grad student | 2005 | University of Maryland | |
| (Algorithms and evaluation for object detection and tracking in computer vision.) | ||||
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Publications
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| Khosla D, Xu J, Kim K, et al. (2017) Online location recognition for drift-free trajectory estimation and efficient autonomous navigation Proceedings of Spie. 10195: 1019509 |
| Huber DJ, Khosla D, Kim K. (2017) Motion-seeded object-based attention for dynamic visual imagery Proceedings of Spie. 10202 |
| Mundhenk TN, Kim K, Owechko Y. (2015) PanDAR: A wide-area, frame-rate, and full color lidar with foveated region using backfilling interpolation upsampling Proceedings of Spie - the International Society For Optical Engineering. 9406 |
| Khosla D, Chen Y, Kim K. (2014) A neuromorphic system for video object recognition. Frontiers in Computational Neuroscience. 8: 147 |
| Khosla D, Chen Y, Kim K, et al. (2013) A Neuromorphic system for object detection and classification Proceedings of Spie - the International Society For Optical Engineering. 8745 |
| Khosla D, Chen Y, Huber DJ, et al. (2013) Real-time, low power NEurOmorphic hardware for autonomous object recognition Proceedings of Spie - the International Society For Optical Engineering. 8713 |
| Mundhenk TN, Ni KY, Chen Y, et al. (2012) Detection of unknown targets from aerial camera and extraction of simple object fingerprints for the purpose of target reacquisition Proceedings of Spie - the International Society For Optical Engineering. 8301 |
| Kim K, Rowat AC, Carpenter AE. (2010) Automated tracking of yeast cell lineages Proceedings of Spie - the International Society For Optical Engineering. 7798 |
| Kim K. (2009) Moving object detection using spatial coherence Proceedings of Spie - the International Society For Optical Engineering. 7443 |
| Kim K, Chalidabhongse TH, Harwood D, et al. (2005) Real-time foreground-background segmentation using codebook model Real-Time Imaging. 11: 172-185 |