Prof.Sangmin Yoon윤상민 교수윤상민Sangmin Yoon
Contact
Phone 02-910-4645
E-mail smyoon@kookmin.ac.kr
E-mail smyoon@kookmin.ac.kr
Office사무실미래관 7층 22호 (02-910-4645)
Education학력
Ph.D. Darmstadt University of Technology ()
Career경력
Present Professor, Kookmin University
AI Research Institute Director
AI Research Institute Director
현재 국민대학교 교수
AI 연구소장
AI 연구소장
Research Overview연구 개요
The HCI Lab focuses on deep learning and neural networks, computer vision (image super-resolution, person re-identification, object tracking), quantum computing and image processing, and subspace clustering.
HCI 연구실은 딥러닝 및 신경망, 컴퓨터 비전(이미지 초해상도, 사람 재식별, 객체 추적), 양자 컴퓨팅 및 이미지 처리, 부분공간 클러스터링에 중점을 두고 연구합니다.
Research Areas연구 분야
- Deep Learning
- Computer Vision
- Image Super-Resolution
- Object Tracking
- Quantum Image Processing
- 딥러닝
- 컴퓨터 비전
- 이미지 초해상도
- 객체 추적
- 양자 이미지 처리
Major Achievements주요 연구 성과
- Scalable feed-forward and backward quantum image representation (2026)
- Unified spatio-temporal attention mixformer for visual object tracking (2024)
Recent Publications주요 논문
- Minwoo Kim, Sang Min Yoon, "Memory as Dynamics: Learning Reliability-Guided Predictive Models for Online Video Perception," ICML 2026, 2026
- H. Kim, J. Yoon, and S. M. Yoon, "Dynamic window transformer for three-dimensional indoor scene segmentation," Neurocomputing, March 2026 원문 ↗Paper ↗
- S. Kim, G. Yoon, J. Song, and S. M. Yoon, "Scalable feed-forward and backward quantum image representation," Engineering Applications of Artificial Intelligence, February 2026 원문 ↗Paper ↗
- M. Park, J. Song, and S. M. Yoon, "Visual object tracking using learnable target-aware token emphasis," Engineering Applications of Artificial Intelligence, June 2025
- Y. Lee, G.-J. Yoon, J. Song, and S. M. Yoon, "Single-stage convolutional neural radiance fields," Pattern Analysis and Applications, February 2025
- S. Kim, G.-J. Yoon, J. Song, and S. M. Yoon, "Scale-invariant mask-guided vehicle keypoint detection from a monocular image," Journal of Visual Communication and Image Representation, March 2025
- S. Kim, G.-J. Yoon, J. Song, and S. M. Yoon, "Simultaneous image patch attention and pruning for patch selective transformer," Image and Vision Computing, October 2024
- M. Park, G.-J. Yoon, J. Song, and S. M. Yoon, "Unified spatio-temporal attention mixformer for visual object tracking," Engineering Applications of Artificial Intelligence, August 2024
- G.-J. Yoon, G. Jung, J. Song, and S. M. Yoon, "View synthesis with multiplane images from computationally generated RGB-D light fields," Engineering Applications of Artificial Intelligence, June 2024
- K. Hwang, G.-J. Yoon, J. Song, and S. M. Yoon, "Fusing bi-directional global-local features for single image super-resolution," Engineering Applications of Artificial Intelligence, January 2024
- G. Jung and S. M. Yoon, "Monocular depth estimation with multi-view attention autoencoder," Multimedia Tools and Applications, April 2022
- S. Baek, G.-J. Yoon, J. Song, and S. M. Yoon, "Self-supervised deep geometric subspace clustering network," Information Sciences, September 2022
- H. Mun, G.-J. Yoon, J. Song, and S. M. Yoon, "Texture Preserving Photo Style Transfer Network," IEEE Transactions on Multimedia, August 2022
- Sanghwan Lee, Sung-Soo Lim, MyungKeun Yoon, Sang-Min Yoon, Junho Kim, "SNS of Things: Concept, issues, and challenges for globe scale interoperability of IoT applications," 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 315-316, 2014 원문 ↗Paper ↗