News

[2025] 여름방학 인턴 모집

MCL에서 컴퓨터비전, 머신러닝, 인공지능에 관심있는 인턴을 모집합니다 (인턴쉽 기간: 2025.07.14~2025.07.25). 첨부 파일을 참고하여 참여를 희망하는 학생은 장재석 연구원 (jsjang@mcl.korea.ac.kr)에게 연락 바랍니다.
자세한 내용은 아래 첨부파일 확인하여 주시기 바랍니다.

MCL Summer Internship 2025

[2024] Two JVCIR papers

Two papers on image cropping and depth estimation will be published in Journal of Visual Communication and Image Representation.

  • * Nyeong-Ho Shin, Seon-Ho Lee, Jinwon Ko, and Chang-Su Kim, “Image cropping based on order learning,” to appear in J. Vis. Commun. Image Represent., 2024.
  • * Jinyoung Jun, Jae-Han Lee, and Chang-Su Kim, “Versatile depth estimator based on common relative depth estimation and camera-specific relative-to-metric depth conversion,” to appear in J. Vis. Commun. Image Represent., 2024.

Congratulations to our senior students Nyeong-Ho and Jinyoung!

 

[ECCV 2024] Lane detection and face obfuscation

We will present our papers on lane detection and face obfuscation at the ECCV conference in Milan, Italy this September.

  • * Dongkwon Jin and Chang-Su Kim, “OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection,” ECCV 2024.
  • * Jintae Kim, Seungwon Yang, Seong-Gyun Jeong, and Chang-Su Kim, “Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme,” ECCV 2024.

Congratulations to Dongkwon, Jintae, Seungwon, and Seong-Gyun!

Dongkwon will graduate MCL this summer. Including this ECCV paper, Dongkwon has published 7 CVPR/ICCV/ECCV papers. It is a great achievement. We are sure that Dr. Jin will have a successful career wherever he joins, be it an AI company or even the fashion industry.

[2024] 대학원생 모집

MCL은 2025년 3월 입학 예정인 대학원생을 모집하고 있습니다. 컴퓨터비전, 인공지능에서 original research를 하고 싶은 학생은 김창수 교수(changsukim@korea.ac.kr)에게 연락바랍니다.

[CVPR 2024] Depths, Lines, Quality, and Segmentation

We will present our papers on depth refinement, semantic line detection, image quality assessment, and interactive image segmentation at the upcoming conference CVPR in Seattle this June.

  • * Jinyoung Jun, Jae-Han Lee, and Chang-Su Kim, “Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement,” CVPR 2024.
  • * Jinwon Ko, Dongkwon Jin, and Chang-Su Kim, “Semantic Line Combination Detector,” CVPR 2024.
  • * Nyeong-Ho Shin, Seon-Ho Lee, and Chang-Su Kim, “Blind Image Quality Assessment Based on Geometric Order Learning,” CVPR 2024.
  • * Chaewon Lee, Seon-Ho Lee, and Chang-Su Kim, “MFP: Making Full Use of Probability Maps for Interactive Image Segmentation,” CVPR 2024.

Congratulations to Jinyoung, Jae-Han, Jinwon, Dongkwon, Nyeong-Ho, Seon-Ho, and Chaewon!