Hyun Seok Seong

I am a Ph.D. candidate in the Visual Computing Lab (VCLab) at Sungkyunkwan University, supervised by Prof. Jae-Pil Heo.

I received my Bachelor's degree from Sungkyunkwan University.

My research interests include various tasks in machine learning and computer vision, with a particular focus on image segmentation and grounding with limited labeled data. Recently, my interest has been in unsupervised semantic segmentation and weakly-supervised affordance grounding.

Email / Google Scholar / Github / LinkedIn / CV

Publications

	Temporal Alignment-Free Video Matching for Few-shot Action Recognition SuBeen Lee, WonJun Moon, Hyun Seok Seong, and Jae-Pil Heo Computer Vision and Pattern Recognition (CVPR), 2025 (Oral presentation) Arxiv / Code
	Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation Suho Park, SuBeen Lee, Hyun Seok Seong, Jaejoon Yoo, and Jae-Pil Heo (: equal contribution) AAAI Conference on Artificial Intelligence (AAAI)*, 2025 Arxiv / Code
	Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation Hyun Seok Seong, WonJun Moon, SuBeen Lee, and Jae-Pil Heo European Conference on Computer Vision (ECCV), 2024 Arxiv / Code
	Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification SuBeen Lee, WonJun Moon, Hyun Seok Seong, and Jae-Pil Heo IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Arxiv / Code
	Task-disruptive Background Suppression for Few-Shot Segmentation Suho Park, SuBeen Lee, Sangeek Hyun, Hyun Seok Seong, and Jae-Pil Heo AAAI Conference on Artificial Intelligence (AAAI), 2024 Arxiv / Paper / Code
	Leveraging Hidden Positives for Unsupervised Semantic Segmentation Hyun Seok Seong, WonJun Moon, SuBeen Lee, and Jae-Pil Heo Computer Vision and Pattern Recognition (CVPR), 2023 Arxiv / Paper / Code
	Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition WonJun Moon, Hyun Seok Seong, and Jae-Pil Heo AAAI Conference on Artificial Intelligence (AAAI), 2023 (Oral presentation) Arxiv / Paper / Code
	TCX: Texture and channel swappings for domain generalization Jaehyun Choi, Hyun Seok Seong, Sanguk Park, and Jae-Pil Heo Pattern Recognition Letters, 2023 Paper
	Difficulty-Aware Simulator for Open Set Recognition WonJun Moon, Junho Park, Hyun Seok Seong, Cheol-Ho Cho, and Jae-Pil Heo European Conference on Computer Vision (ECCV), 2022 Arxiv / Paper / Code
	Pivot-Guided Embedding for Domain Generalization Hyun Seok Seong, Jaehyun Choi, Woojin Jeong, and Jae-Pil Heo IEEE Access, 2022 Paper / Code

Education

Sungkyunkwan University (SKKU), South Korea

Integrated M.S. and Ph.D., Artificial Intelligence
Sep. 2019 - present

Sungkyunkwan University (SKKU), South Korea

B.S., Electronic and Electrical Engineering
Mar. 2013 - Feb. 2019

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