[CVPR 2022] Three orals and one poster

We will present four papers on image compression, object descriptors, and order learning in CVPR 2022. Three of them are orals. Well done, Jae-Han and Seungmin, Dongkwon and Wonhui, Wonhui and Dongkwon, and Nyeong-Ho and Seon-Ho!

  • Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi, Youngo Park, and Chang-Su Kim, “DPICT: Deep Progressive Image Compression Using Trit-Planes” (Oral)
  • Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Heeyeon Kwon, and Chang-Su Kim, “Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes” (Poster)
  • Wonhui Park, Dongkwon Jin, and Chang-Su Kim, “Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation” (Oral)
  • Nyeong Ho Shin, Seon-Ho Lee, and Chang-Su Kim, “Moving Window Regression: A Novel Approach to Ordinal Regression” (Oral)

Congratulations to Jae-Han and Seungmin.

Congratulations to Dongkown and Wonhui, aka eigenbrothers.

Congratulations to Nyeong Ho and Seon-Ho.

Also many thanks to our colleagues Kwang Pyo Choi, Youngo Park, Seong-Gyun Jeong, and Heeyeon Kwon!

[2022] Dr. Lee’s JVCI paper

This February MCL produced 17th Ph.D., Dr. Jae-Han Lee, who published his 2nd journal paper today.

Jae-Han Lee and Chang-Su Kim, “Single-image depth estimation using relative depths,” J. Vis. Commun. Image Represent., vol. 84, no. 103459, Apr. 2022.


[2022] 대학원생 모집

MCL에서는 컴퓨터비전, 기계학습, 영상처리를 연구할 대학원생을 상시 모집하고 있습니다. 관심 있는 사람은 김창수 교수(와 상담 바랍니다.


[2022] TIP paper on denoising

We are pleased to announce that Keunsoo will publish a denoising paper in TIP.

Keunsoo Ko, Yeong Jun Koh, and Chang-Su Kim, “Blind and Compact Denoising Network Based on Noise Order Learning,” IEEE Transactions on Image Processing, 2022.

Congratulations to Keunsoo for his second TIP paper!


[2021] Two more Access papers.

Glad to announce that we will publish two more papers in IEEE Access.

Ji-Soo Kim, Keunsoo Ko, and Chang-Su Kim, ” Gluing reference patches together for face super-resolution,” to appear in IEEE Access, 2022.
Keunsoo Ko and Chang-Su Kim, “IceNet for Interactive Contrast Enhancement,” to appear in IEEE Access, 2022.

Congratulations, Ji-Soo and Keunsoo, for the achievements! This is an accessible year indeed.