MCL » 미분류 https://mcl.korea.ac.kr Media Communications Lab. Mon, 04 May 2026 12:32:04 +0000 ko-KR hourly 1 http://wordpress.org/?v=3.4.2 [ICML2026] Order learning papers. https://mcl.korea.ac.kr/icml2026-order-learning-papers/ https://mcl.korea.ac.kr/icml2026-order-learning-papers/#comments Fri, 01 May 2026 05:20:40 +0000 Chang-Su Kim http://mcl.korea.ac.kr/?p=44495 We are glad to announce that two order learning papers (ConOrd and SOL) will be presented at ICML 2026 in Seoul, Korea this July. Starting from the world-first order learning paper at ICLR 2020, our lab has been developing a series of order learning techniques over the past six years.

  1. 1. Chaewon Lee, BeomJun Shim, Kwang Pyo Choi, and Chang-Su Kim, “Contrastive order learning: A general framework for ordinal regression,” ICML 2026. (ConOrd)
  2. 2. Chaewon Lee, Seon-Ho Lee, and Chang-Su Kim, “Stochastic order learning: an approach to rank estimation using noisy data,” ICML 2026. (SOL)
  3. 3. Nyeong-Ho Shin, Seon-Ho Lee, and Chang-Su Kim, “Blind image quality assessment based on geometric order learning,” CVPR 2024. (GOL-based BIQA)
  4. 4. Seon-Ho Lee, Nyeong-Ho Shin, and Chang-Su Kim, “Unsupervised order learning,” ICLR 2024. (UOL)
  5. 5. Seon-Ho Lee, Nyeong Ho Shin, and Chang-Su Kim, “Geometric order learning for rank estimation,” NeurIPS 2022. (GOL)
  6. 6. Nyeong Ho Shin, Seon-Ho Lee, and Chang-Su Kim, “Moving window regression: A novel approach to ordinal regression,” CVPR 2022. (MWR)
  7. 7. Seon-Ho Lee and Chang-Su Kim, “Order learning using partially ordered data via chainization,” ECCV 2022. (Chainization)
  8. 8. Seon-Ho Lee and Chang-Su Kim, “Deep repulsive clustering of ordered data based on order-identity decomposition,” ICLR 2021. (DRC-ORID)
  9. 9. Kyungsun Lim, Nyeong-Ho Shin, Young-Yoon Lee, and Chang-Su Kim, “Order learning and its application to age estimation,” ICLR 2020. (OL)

Congratulations to Chaewon and all the authors! Following MCL tradition, the ConOrd paper might have been named COL — but Chaewon apparently had no intention of following it, and named it ConOrd instead. We think it sounds great anyway. Next up: VOL!

]]> https://mcl.korea.ac.kr/icml2026-order-learning-papers/feed/ 0 2023 CVPR Junheum Park https://mcl.korea.ac.kr/cvpr2023_jhpark/ https://mcl.korea.ac.kr/cvpr2023_jhpark/#comments Wed, 30 Aug 2023 08:50:19 +0000 admin http://mcl.korea.ac.kr/?p=35469

]]> https://mcl.korea.ac.kr/cvpr2023_jhpark/feed/ 0 ECCV 2023 Jinyoung Jun https://mcl.korea.ac.kr/jyjun_eccv2023/ https://mcl.korea.ac.kr/jyjun_eccv2023/#comments Fri, 02 Sep 2022 03:55:24 +0000 admin http://mcl.korea.ac.kr/?p=33833

]]> https://mcl.korea.ac.kr/jyjun_eccv2023/feed/ 0 [2021] 인턴 모집 https://mcl.korea.ac.kr/2021-%ec%9d%b8%ed%84%b4-%eb%aa%a8%ec%a7%91-2/ https://mcl.korea.ac.kr/2021-%ec%9d%b8%ed%84%b4-%eb%aa%a8%ec%a7%91-2/#comments Fri, 02 Jul 2021 03:23:16 +0000 Chang-Su Kim http://mcl.korea.ac.kr/?p=31348 MCL에서 컴퓨터비전, 머신러닝, 인공지능에 관심있는 인턴을 모집합니다 (인턴쉽 기간: 2021.08.16 2021.08.27).

첨부 파일을 참고하여 참여를 희망하는 학생은 김창수 교수(changsukim@korea.ac.kr)에게 연락 바랍니다.

 

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인턴 참여 대상이 3학년 또는 4학년 재학생이었으나 기신청자들이 예상 인원을 넘었습니다. 부득이 2021년7월7일부터는 받는 추가지원은 소수의 4학년 재학생으로  제한합니다.  3학년 재학생은 내년 프로그램에 지원바랍니다.

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MCL Intership 2021

]]> https://mcl.korea.ac.kr/2021-%ec%9d%b8%ed%84%b4-%eb%aa%a8%ec%a7%91-2/feed/ 0 [2021] 기초연구실 선정 https://mcl.korea.ac.kr/2021-%ea%b8%b0%ec%b4%88%ec%97%b0%ea%b5%ac%ec%8b%a4-%ec%84%a0%ec%a0%95/ https://mcl.korea.ac.kr/2021-%ea%b8%b0%ec%b4%88%ec%97%b0%ea%b5%ac%ec%8b%a4-%ec%84%a0%ec%a0%95/#comments Mon, 07 Jun 2021 10:18:08 +0000 Chang-Su Kim http://mcl.korea.ac.kr/?p=31223 MCL에서 고려대 황인준 교수님, 고려대 곽진태 교수님, 충남대 고영준 교수님과 같이 지원한 기초연구실 사업이 선정되었습니다.

순서학습연구실: 비교적 데이터 분석 및 평가를 위한 인공지능 연구

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