Profile
I am a Postdoctoral Research Fellow in the School of Electrical Engineering at Korea University. 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. My researh interests are computer vision and machine learning, espeically in the problems of video object discovery and segmentation.
CV (Last update: Jun. 2018)
News
Publications
Highlighted Publications
- Unsupervised primary object discovery in videos based on evolutionary primary object modeling with reliable object proposals
Yeong Jun Koh and Chang-Su Kim, IEEE Trans. Image Process., Nov. 2017.
- CDTS: Collaborative detection, tracking, and segmentation for online multiple object segmentation in videos
Yeong Jun Koh and Chang-Su Kim, ICCV, Venice, Italy, Oct. 2017.
- Primary object segmentation in videos based on region augmentation and reduction
Yeong Jun Koh and Chang-Su Kim, CVPR, Honolulu, HI, Jul. 2017.
- POD: Discovering primary objects in videos based on evolutionary refinement of object recurrence, background, and primary object models
Yeong Jun Koh, Won-Dong Jang, and Chang-Su Kim, CVPR, Las Vagas, NV, Jun. 2016.
- Video stabilization based on feature trajectory augmentation and selection and robust mesh grid warping
Yeong Jun Ko, Chulwoo Lee, and Chang-Su Kim, IEEE Trans. Image Process., Dec. 2015.
List of Publications
- Multiscale feature extractors for stereo matching cost computation
Kyung-rae Kim, Yeong Jun Koh and Chang-Su Kim, to appear in IEEE Access., 2018.
- Unsupervised primary object discovery in videos based on evolutionary primary object modeling with reliable object proposals
Yeong Jun Koh and Chang-Su Kim, IEEE Trans. Image Process., Nov. 2017.
- CDTS: Collaborative detection, tracking, and segmentation for online multiple object segmentation in videos
Yeong Jun Koh and Chang-Su Kim, ICCV, Venice, Italy, Oct. 2017.
- Primary object segmentation in videos based on region augmentation and reduction
Yeong Jun Koh and Chang-Su Kim, CVPR, Honolulu, HI, Jul. 2017.
- POD: Discovering primary objects in videos based on evolutionary refinement of object recurrence, background, and primary object models
Yeong Jun Koh, Won-Dong Jang, and Chang-Su Kim, CVPR, Las Vagas, NV, Jun. 2016.
- Video stabilization based on feature trajectory augmentation and selection and robust mesh grid warping
Yeong Jun Ko, Chulwoo Lee, and Chang-Su Kim, IEEE Trans. Image Process., Dec. 2015.
- Dark image enhancement based on pairwise target contrast and multi-scale detail boosting
Youngbae Kim, Yeong Jun Koh, Chulwoo Lee, Sehoon Kim, and Chang-Su Kim, ICIP, Quebec, Canada, Sep. 2015.
- Robust video stabilization based on mesh grid warping of rolling-free features
Yeong Jun Koh, Jea-Young Sim, and Chang-Su Kim, ICIP, Paris, France, Oct. 2014.
- Reliable optical flow estimation in motion-blurred regions
Yeong Jun Koh, Chul Lee, Jae-Young Sim, and Chang-Su Kim, MMSP, Pula, Italy, Sep. 2013.
- Competitive block based motion estimation for high performance of motion compensated frame interpolation
Seong-Gyun Jeong, Yeong Jun Koh, and Chang-Su Kim, ITC-CSCC, Yeosu, Korea, Jun. 2013.
- Efficient fine-granular scalable coding of 3D mesh sequences
Jae-Kyun Ahn, Yeong Jun Koh, and Chang-Su Kim, IEEE Trans. Multimedia, Apr. 2013.
- Spatial video summarization using multi-camera based background subtraction
Yeong Jun Koh, Sang-Hwan Kim, Chul Lee, and Chang-Su Kim, ITC-CSCC, Gyeongju, Korea, Jun. 2011.
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