Research

Memory as Dynamics: Learning Reliability-Guided Predictive Models for Online Video Perception

Minwoo Kim, Sang Min Yoon, Memory as Dynamics: Learning Reliability-Guided Predictive Models for Online Video Perception, International Conference on Machine Learning(ICML) 2026, July 2026

SSM-Aware Token-Efficient VMamba via Adaptive Patch Pruning and Merging for Person Re-Identification

HyeWon Hwang and Sang Min Yoon, "SSM-Aware Token-Efficient VMamba via Adaptive Patch Pruning and Merging for Person Re-Identification", IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2026, June 2026

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AI 서울테크 장학금 수여

SeonMin Kim, 서울장학재단, November 2025

Attended SIGGRAPH Asia 2025 in Hong Kong

SeonMin Kim, HyeWon Hwang, DaeHo Jo, GyuBin Shin,JaeHoon Lee, SIGGRAPH ASIA, December 2025

Scalable feed-forward and backward quantum image representation

SeonMin Kim, Gang-Joon Yoon, Jinjoo Song, and Sang Min Yoon, "Scalable feed-forward and backward quantum image representation", Engineering Applications of Artificial Intelligence, February 2026.

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Person re-identification transformer with patch attention and pruning

Fabrice Ndayishimiye, Gang-Joon Yoon, Joonjae Lee, and Sang Min Yoon, "Person re-identification transformer with patch attention and pruning", Journal of Visual Communication and Image Representation, November 2024.

Unified spatio-temporal attention mixformer for visual object tracking

Minho Park, Gang-Joon Yoon, Jinjoo Song, and Sang Min Yoon, "Unified spatio-temporal attention mixformer for visual object tracking", Engineering Applications of Artificial Intelligence, August 2024.

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Fusing bi-directional global–local features for single image super-resolution

Kyomin Hwang, Gang-Joon Yoon, Jinjoo Song and Sang Min Yoon, "Fusing-Bi-directional-Global-Local-Features-for-Single-Image-Super-Resolution," Enginneering Application of Artificial Intelligence, January 2024.

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Quantum Computing

Sun Min Kim and Sang Min Yoon, Quantum image processing with stereographic projection method and novel RGB color space August 2023.


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Self-supervised deep geometric subspace clustering network

Sangwon Baek, Gangjoon Yoon, Jinjoo Song, and Sang Min Yoon, "Self-supervised deep geometric subspace clustering network," Information Sciences, Sep 2022.


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Multi-View Feature Boosting Network for Deep Subspace Clustering

Jinjoo Song, Gang-Joon Yoon, Sangwon Baek, and Sang Min Yoon, "Multi-View Feature Boosting Network for Deep Subspace Clustering," IEEE ICIP, Oct 2022.


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Texture Preserving Photo Style Transfer Network

Hwanbok Mun, Gang-Joon Yoon, Jinjoo Song, and Sang Min Yoon, "Texture Preserving Photo Style Transfer Network," IEEE transactions on Multimedia, Aug 2022.


Subspace clustering via structure-enforced dictionary learning

Jinjoo Song, Gangjoon Yoon, Kwangsoo Hahn, and Sang Min Yoon, "Subspace clustering via structure-enforced dictionary learning," Neurocomputing, JUL 2019.


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SketchHelper: Real-time Stroke Guidance for Freehand Sketch Retrieval

Jungwoo Choi, Heeryon Cho, Jinjoo Song, and Sang Min Yoon, "SketchHelper: Real-time Stroke Guidance for Freehand Sketch Retrieval," IEEE Transactions on Multimedia, 2019.


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Deep self-representative subspace clustering network

Sangwon Baek, Gangjoon Yoon, Jinjoo Song, SangMin Yoon, “Deep self-representative subspace clustering network”, Pattern Recognition, October 2021.


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Structure Adaptive Total Variation Minimization-based Image Decomposition

Jinjoo Song, Heeryon Cho, Jungho Yoon, and Sang Min Yoon, "Structure Adaptive Total Variation Minimization-based Image Decomposition," IEEE Transactions on Circuits and Systems for Video Technology, Vol.28, No.9, pp. 2164-2176, September 2018.

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Divide and Conquer-based 1D CNN Human Activity Recognition Using Test Data Sharpening

Heeryon Cho and Sang Min Yoon, "Divide and Conquer-based 1D CNN Human Activity Recognition Using Test Data Sharpening," Sensors, Vol.18, No.4, pp. 1055:1-1055:24, April 2018.

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