[2019] 2020년 1학기 대학원생 모집

MCL에서 2020년 3월부터 컴퓨터 비전과 인공지능을 연구할 대학원생을 모집합니다. 김창수 교수(에게 연락 바랍니다.

[ICCV2019] Aesthetics assessment and future motion estimation

Two interesting papers will be presented in ICCV, Oct. 2019, Seoul.

* Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, and Chang-Su Kim, “Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression”
* Jun-Tae Lee and Chang-Su Kim, “Image Aesthetic Assessment Based on Pairwise Comparison – A Unified Approach to Score Regression, Binary Classification, and Personalization”

Congratulations Kyung-Rae, Whan, and Jun-Tae! Especially, because Kyung-Rae and Jun-Tae have seen too many summers in Korea University, all MCL members are very happy to hear this good news. A piece of even better news is that Jun-Tae got his degree successfully and will start a new career in Samsung Electronics from this September.

[BMVC2019] A learning algorithm for clustering

Han-Ul Kim, Yeong Jun Koh, and Chang-Su Kim, “Meta Learning for Unsupervised Clustering” in Proc. BMVC, Sept. 2019.

Congratulations Han-Ul for this achievement!

[2019] Yuk ranked 2nd in 2019 DAVIS Challenge on Interactive VOS

Yuk’s interactive video object segmentation algorithm ranked 2nd in the 2019 DAVIS Challenge on Video Object Segmentation. His work has been invited to CVPR workshop 2019.

Yuk Heo, Yeong Jun Koh, Chang-Su Kim, “Interactive Video Object Segmentation Using Sparse-to-Dense Networks,” CVPR Workshop, 2019.

It is a remarkable achievement, considering the complexity of the VOS system and Yuk’s recent change to this topic.  Congratulations, Yuk!  All MCL members wish that this topic would be more interesting than prostate segmentation.


[2019] Monocular depth estimation and interactive image segmentation in CVPR.

* Jae-Han Lee and Chang-Su Kim, “Monocular depth estimation using relative depth maps”
* Won-Dong Jang and Chang-Su Kim, “Interactive image segmentation via backpropagating refinement scheme”

Congratulations to MCL member Jae-Han (in military service) and MCL alumnus Won-Dong (in Harvard)!