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Yeong Jun Koh |
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Brief Biography |
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I am currently a Post-doc at Statistical Visual Computing Lab, Department of Electrical and Computer Engineering at University of California, San Diego (UCSD), under the supervision of Prof. Nuno Vasconcelos. I received the B.S. degree and the Ph.D. degree in electrical engineering from Korea University, Seoul, South Korea, in 2011 and 2018, respectively. |
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Research |
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My researh interests are computer vision and machine laerning, espeically in the problems of video object discovery and segmentation. |
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Publications |
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My online publication profile can be found at Google Scholar. |
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Sequential Clique Optimization for Video Object Segmentation, |
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Multiscale Feature Extractors for Stereo Matching Cost Computation |
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Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling with Reliable Object Proposals |
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CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos |
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Primary Object Segmentation in Videos Based on Region Augmentation and Reduction |
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POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models, |
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Video Stabilization Based on Feature Trajectory Augmentation and Selection and Robust Mesh Grid Warping |
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Dark Image Enhancement Based on Pairwise Target Contrast and Multi-scale Detail Boosting |
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Robust Video Stabilization Based on Mesh Grid Warping of Rolling-free Features |
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Efficient Fine-granular Scalable Coding of 3D Mesh Sequences |
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Professional Experience |
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Statistical Visual Computing Lab,
UC San Diego |
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