Publications
You can also find my papers on my Google Scholar profile.
Salma A. Magid, Won-Dong Jang, Denis Schapiro, Donglai Wei, James Tompkin, Peter Sorger, and Hanspeter Pfister, “Channel Embedding for Informative Protein Identification from Highly Multiplexed Images,” in MICCAI, Virtual, Oct. 2020. [project page]
Brian Leahy*, Won-Dong Jang* Helen Yang*, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, and Daniel Needleman, “Automated Measurements of Key Morphological Features of Human Embryos for IVF,” in MICCAI, Virtual, Oct. 2020. [project page] *equal contributions
Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, and Hanspeter Pfister, “MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images,” in MICCAI, Virtual, Oct. 2020. [project page]
Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard L. Schalek, Daniel R. Berger, Brian Matejek, Lee D. Kamentsky, Adi Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, and Hanspeter Pfister “Two-Stream Active Query Suggestion for Large-Scale Object Detection in Connectomics,”” in ECCV, Virtual, Aug. 2020. [project page]
Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Don Jang, Xueying Wang, Jeff Lichtman, and Hanspeter Pfister, “A Topological Nomenclature for 3D Shape Analysis in Connectomics,” in CVPR Workshop, Virtual, Jun. 2020. [pdf] [github]
Robert Kruger, Johanna Beyer, Won-Dong Jang, Nam Wook Kim, Artem Sokolov, Peter Sorger, and Hanspeter Pfister “Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data,” in VAST, Vancouver, BC, Canada, Oct. 2019. [webpage]
- Won-Dong Jang and Chang-Su Kim, “Interactive Image Segmentation via Backpropagating Refinement Scheme,” in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun. 2019. [pdf] [GitHub]
- Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, “Temporal superpixels based on proximity-weighted patch matching,” in Proc. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017. [pdf][project page]
- Won-Dong Jang and Chang-Su Kim, “Online video object segmentation via convolutional trident network,” in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, Jul. 2017. [pdf] [GitHub]
- Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, “Contour-constrained superpixels for image and video processing,” in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, Jul. 2017. [pdf] [project page]
- Won-Dong Jang and Chang-Su Kim, “Semi-supervised video object segmentation using multiple random walkers,” in Proc. British Machine Vision Conference (BMVC), York, UK, Sep. 2016. [pdf] [GitHub]
- Won-Dong Jang and Chang-Su Kim, “Streaming video segmentation via short-term hierarchical segmentation and frame-by-frame Markov random field optimization,” in Proc. European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016. [pdf][GitHub]
- Se-Ho Lee, Won-Dong Jang, Byung Kwan Park, and Chang-Su Kim, “RGB-D image segmentation based on multiple random walkers,” in Proc. IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, Sep. 2016. [pdf]
- Won-Dong Jang, Chulwoo Lee, Chang-Su Kim, “Primary object segmentation in videos via alternate convex optimization of foreground and background distributions,” in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, Jun. 2016. [pdf][GitHub]
- Yeong Jun Koh, Won-Dong Jang, Chang-Su Kim, “POD: Discovering primary objects in videos based on evolutionary refinement of object recurrence, background, and primary object models,” in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, Jun. 2016. [pdf][project page]
- Kyung-Rae Kim, Won-Dong Jang, and Chang-Su Kim, “Frame-level matching of near duplicate videos based on ternary frame descriptor and iterative refinement,” in Proc. IEEE International Conference on Image Processing (ICIP), Quebec, Canada, Sep. 2015.
- Won-Dong Jang, Tae-Young Chung, Jae-Young Sim, and Chang-Su Kim, “FDQM: Fast quality metric for depth maps without view synthesis,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 7, pp. 1099–1112, Jul. 2015. [project page]
- Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, Chang-Su Kim, “Multiple random walkers and their application to image cosegmentation,” in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, Jun. 2015. [pdf] [project page]
- Won-Dong Jang, Chulwoo Lee, Jae-Young Sim, and Chang-Su Kim, “Automatic video genre classification using multiple SVM votes,” in Proc. IEEE International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, Aug. 2014.
- Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, “GEQM: A quality metric for gray-level edge maps based on structural matching,” in Proc. IEEE International Conference on Acoustics, Speech, and Singal Processing (ICASSP), Florence, Italy, May 2014.
- Jin-Hwan Kim, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, “Optimized contrast enhancement for real-time image and video dehazing,” Journal of Visual Communication and Image Representation, vol. 24, no. 3, pp. 410–425, Apr. 2013. [project page]
- Jin-Hwan Kim, Won-Dong Jang, Yongsup Park, Dong-Hahk Lee, Jae-Young Sim, and Chang-Su Kim, “Temporally coherent real-time video dehazing,” in Proc. IEEE International Conference on Image Processing (ICIP), Orlando, FL, Sep. 2012.