SuBeen Lee

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 Jeonbuk National University and my Master's degree from Sungkyunkwan University.

My research interests include various tasks in machine learning and computer vision, with a particular focus on few-shot learning. Recently, my interest has been in few-shot semantic segmentation and few-shot 3d point cloud semantic segmentation.

Email / Google Scholar / LinkedIn / CV

Publications

	Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation Suho Park, SuBeen Lee, Jaejoon Yoo, and Jae-Pil Heo (: equal contribution) AAAI Conference on Artificial Intelligence (AAAI)*, 2025 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, IF:20.8), 2025 (Accepted) Paper / arXiv
	Mutually-Aware Feature Learning for Class-Agnostic Counting Yerim Jeon, SuBeen Lee, Ji Hwan Kim, and Jae-Pil Heo Pattern Recognition (IF: 7.5), 2025 (Accepted) Paper / arXiv
	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 Paper / arXiv / Code
	Mitigating Background Shift in Class-Incremental Semantic Segmentation GilHan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim, and Jae-Pil Heo European Conference on Computer Vision (ECCV), 2024 Paper / arXiv / Code
	Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding WonJun Moon, Sangeek Hyun, SuBeen Lee, and Jae-Pil Heo arXiv, 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 Paper / arXiv / 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 Paper / arXiv / Code
	Task Discrepancy Maximization for Fine-grained Few-Shot Classification SuBeen Lee, WonJun Moon, and Jae-Pil Heo Computer Vision and Pattern Recognition (CVPR), 2022 [Oral Presentation>] Paper / arXiv / Code
	Regularization with multiple feature combination for few-shot learning SuBeen Lee, Jun Ho Park, Ji Young Kim, Seung Yeol Lee, and Jae-Pil Heo IEEE International Conference on Big Data and Smart Computing (BigComp), 2021 Paper