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Highlighted Publications

Temporal superpixels based on proximity-weighted patch matching [pdf]
Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, ICCV, Venice, Italy, Oct. 2017.
Comparison of objective functions in CNN-based prostate magnetic resonance image segmentation [pdf]
Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, and Chang-Su Kim, ICIP, Beijing, China, Sep. 2017.
Online video object segmentation via convolutional trident network [pdf] [project page]
Won-Dong Jang and Chang-Su Kim, CVPR, Honolulu, HI, Jul. 2017.
Contour-constrained superpixels for image and video processing [pdf][project page]
Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, CVPR, Honolulu, HI, Jul. 2017.
Semi-supervised video object segmentation using multiple random walkers [pdf] [project page]
Won-Dong Jang and Chang-Su Kim, BMVC, York, UK, Sep. 2016.
Streaming video segmentation via short-term hierarchical segmentation and frame-by-frame Markov random field optimization [pdf] [project page]
Won-Dong Jang and Chang-Su Kim, ECCV, Amsterdam, Netherlands, Oct. 2016.
Primary object segmentation in videos via alternate convex optimization of foreground and background distributions [pdf] [project page]
Won-Dong Jang, Chulwoo Lee, and Chang-Su Kim, IEEE Conference on CVPR, Las Vegas, NV, Jun. 2016.
POD: Discovering primary objects in videos based on evolutionary refinement of object recurrence, background, and primary object models [pdf]
Yeong Jun Koh, Won-Dong Jang, and Chang-Su Kim, IEEE Conference on CVPR, Las Vegas, NV, Jun. 2016.
Multiple random walkers and their application to image cosegmentation [pdf] [project page]
Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, IEEE Conference on CVPR, Boston, MA, Jun. 2015.

List of Publications

Temporal superpixels based on proximity-weighted patch matching [pdf]
Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, ICCV, Venice, Italy, Oct. 2017.
Background Subtraction Using Encoder-Decoder Structured Convolutional Neural Network
Kyungsun Lim, Won-Dong Jang, and Chang-Su Kim, AVSS, Lecce, Italy, Aug. 2017.
Comparison of objective functions in CNN-based prostate magnetic resonance image segmentation [pdf]
Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, and Chang-Su Kim, ICIP, Beijing, China, Sep. 2017.
Online video object segmentation via convolutional trident network [pdf] [project page]
Won-Dong Jang and Chang-Su Kim, CVPR, Honolulu, HI, Jul. 2017.
Contour-constrained superpixels for image and video processing [pdf][project page]
Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, CVPR, Honolulu, HI, Jul. 2017.
Semi-supervised video object segmentation using multiple random walkers [pdf] [project page]
Won-Dong Jang and Chang-Su Kim, BMVC, York, UK, Sep. 2016.
Streaming video segmentation via short-term hierarchical segmentation and frame-by-frame Markov random field optimization [pdf] [project page]
Won-Dong Jang and Chang-Su Kim, ECCV, Amsterdam, Netherlands, Oct. 2016.
RGB-D image segmentation based on multiple random walkers [pdf]
Se-Ho Lee, Won-Dong Jang, Byung Kwan Park, and Chang-Su Kim, IEEE ICIP, Phoenix, AZ, Sep. 2016.
Primary object segmentation in videos via alternate convex optimization of foreground and background distributions [pdf] [project page]
Won-Dong Jang, Chulwoo Lee, and Chang-Su Kim, IEEE Conference on CVPR, Las Vegas, NV, Jun. 2016.
POD: Discovering primary objects in videos based on evolutionary refinement of object recurrence, background, and primary object models [pdf]
Yeong Jun Koh, Won-Dong Jang, and Chang-Su Kim, IEEE Conference on CVPR, Las Vegas, NV, Jun. 2016.
Near-duplicate video copy detection with multimodal video signature matching
Jun-Tae Lee, Kyung-Rae Kim, Won-Dong Jang, and Chang-Su Kim, IWAIT, Busan, Korea, Jan. 2016.
RGB-D image segmentation based on random walk with restart
Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, IWAIT, Busan, Korea, Jan. 2016.
Near-duplicate video clustering using multiple complementary video signatures [pdf]
Jun-Tae Lee, Kyung-Rae Kim, Won-Dong Jang, and Chang-Su Kim, APSIPA ASC, Hong Kong, China, Dec. 2015.
Frame-level matching of near duplicate videos based on ternary frame descriptor and iterative refinement [pdf]
Kyung-Rae Kim, Won-Dong Jang, and Chang-Su Kim, IEEE ICIP, Quebec, Canada, Sep. 2015.
FDQM: Fast quality metric for depth maps without view synthesis [pdf] [project page]
Won-Dong Jang, Tae-Young Chung, Jae-Young Sim, and Chang-Su Kim, IEEE Trans. Circuits Syst. Video Technol., Jul. 2015.
Multiple random walkers and their application to image cosegmentation [pdf] [project page]
Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, IEEE Conference on CVPR, Boston, MA, Jun. 2015.
Automatic video genre classification using multiple SVM votes [pdf]
Won-Dong Jang, Chulwoo Lee, Jae-Young Sim, and Chang-Su Kim, IEEE ICPR, Stockholm, Sweden, Aug. 2014.
GEQM: A quality metric for gray-level edge maps based on structural matching [pdf]
Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, IEEE ICASSP, Florence, Italy, May 2014.
Complex feature-based logo recognition
Chul Lee, Won-Dong Jang, Tae-Young Chung, and Chang-Su Kim, ITC-CSCC, Yeosu, Korea, Jun. 2013.
Optimized contrast enhancement for real-time image and video dehazing [pdf] [project page]
Jin-Hwan Kim, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, J. Vis. Commun. Image Represent., Apr. 2013.
Efficient depth video coding based on view synthesis distortion estimation [pdf]
Tae-Young Chung, Won-Dong Jang, and Chang-Su Kim, IEEE Conference on VCIP, Sandiego, CA, May 2012.
SEQM: Edge quality assessment based on structural pixel matching [pdf]
Won-Dong Jang and Chang-Su Kim, IEEE Conference on VCIP, Sandiego, CA, May 2012.
Temporally coherent real-time video dehazing [pdf]
Jin-Hwan Kim, Won-Dong Jang, Yongsup Park, Dong-Hahk Lee, Jae-Young Sim, and Chang-Su Kim, IEEE ICIP, Orlando, FL, Sep. 2012.