Hyun O. Song, Ph.D.

Affiliations: 
Computer Science University of California, Berkeley, Berkeley, CA 
Area:
Computer vision
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"Hyun Song"
Mean distance: 18.79 (cluster 29)
 
SNBCP

Parents

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Trevor Darrell grad student 2014 UC Berkeley
 (Learning with Parsimony for Large Scale Object Detection and Discovery.)
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Publications

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Hyun Oh Song, Girshick R, Zickler S, et al. (2015) Generalized Sparselet Models for Real-Time Multiclass Object Recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1001-12
Song HO, Girshick R, Zickler S, et al. (2015) Generalized sparselet models for real-time multiclass object recognition Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1001-1012
Song HO, Fritz M, Goehring D, et al. (2015) Learning to Detect Visual Grasp Affordance Ieee Transactions On Automation Science and Engineering
Song HO, Girshick R, Jegelka S, et al. (2014) On learning to localize objects with minimal supervision 31st International Conference On Machine Learning, Icml 2014. 5: 3582-3590
Song HO, Lee YJ, Jegelka S, et al. (2014) Weakly-supervised discovery of visual pattern configurations Advances in Neural Information Processing Systems. 2: 1637-1645
Lee YJ, Song HO, Lee YH, et al. (2013) Proliferation of Toxoplasma gondii suppresses host cell autophagy. The Korean Journal of Parasitology. 51: 279-87
Girshick R, Song HO, Darrell T. (2013) Discriminatively activated sparselets 30th International Conference On Machine Learning, Icml 2013. 196-204
Althoff T, Song HO, Darrell T. (2012) Detection bank: An object detection based video representation for multimedia event recognition Mm 2012 - Proceedings of the 20th Acm International Conference On Multimedia. 1065-1068
Song HO, Zickler S, Althoff T, et al. (2012) Sparselet models for efficient multiclass object detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7573: 802-815
Song HO, Fritz M, Gu C, et al. (2011) Visual grasp affordances from appearance-based cues Proceedings of the Ieee International Conference On Computer Vision. 998-1005
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