Biography

I am an assistant professor in Dept. of Artificial Intelligence at Inha University. Before joining it, I was a postdoctoral researcher in Dept. of Computer Science at Yonsei University. In the past, I collaborated as a visiting researcher with the video understanding team at CLOVA AI Research, hosted by Dr. Taeoh Kim. Also, I was fortunate to visit Microsoft Research Asia as a research intern, working with Dr. Yan Lu and Dr. Jinglu Wang. I obtained my PhD in Computer Science at Yonsei University under the supervision of Prof. Hyeran Byun.

My research interests include computer vision, multimodal learning, video understanding, label-efficient training, model robustness, and generative models.

News

Education

Experiences

Selected Publications

A full publication list can be found here.

	BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos Pilhyeon Lee†, Hyeran Byun († Corresponding author) European Conference on Computer Vision (ECCV), 2024 (Acceptance rate: 2395 / 8585 ≈ 27.9%) [Paper] [Code]
	AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks Kibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn, Kunhee Kim, Pilhyeon Lee, Daesik Kim, Youngjung Uh, Hyeran Byun IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (Acceptance rate: 2160 / 8068 ≈ 26.8%) [Paper] [Code]
	Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations Seogkyu Jeon, Bei Liu, Pilhyeon Lee, Kibeom Hong, Jianlong Fu, Hyeran Byun IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (Acceptance rate: 2160 / 8068 ≈ 26.8%) [Paper]
	Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection Pilhyeon Lee, Taeoh Kim, Minho Shim, Dongyoon Wee, Hyeran Byun IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Acceptance rate: 2360 / 9155 ≈ 25.8%) [Paper] [Poster] [Slides]
	Fair Contrastive Learning for Facial Attribute Classification Sungho Park, Jewook Lee, Pilhyeon Lee, Sunhee Hwang, Dohyung Kim, Hyeran Byun IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Acceptance rate: 2067 / 8161 ≈ 25.3%) [Paper] [Code] [Poster]
	Exploiting Shape Cues for Weakly Supervised Semantic Segmentation Sungpil Kho*, Pilhyeon Lee*, Wonyoung Lee, Minsong Ki, Hyeran Byun (* Equal contributions) Pattern Recognition (PR), 2022 JCR Top-10% (Impact Factor: 8.665) [Paper]
	Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization Pilhyeon Lee, Hyeran Byun IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Oral Presentation (Acceptance rate: 210 / 6236 ≈ 3.3%) [Paper] [Code] [Poster] [Slides]
	Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization Seogkyu Jeon, Kibeom Hong, Pilhyeon Lee, Jewook Lee, Hyeran Byun The 29th ACM International Conference on Multimedia (MM), 2021 Oral Presentation (Acceptance rate: 179 / 1942 ≈ 9.2%) [Paper] [Code]
	Weakly-supervised Temporal Action Localization by Uncertainty Modeling Pilhyeon Lee, Jinglu Wang, Yan Lu, Hyeran Byun The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 (Acceptance rate: 1692 / 7911 ≈ 21.4%) [Paper] [Code] [Poster]
	Background Suppression Network for Weakly-supervised Temporal Action Localization Pilhyeon Lee, Youngjung Uh, Hyeran Byun The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 Spotlight Presentation (Acceptance rate: 1591 / 7737 ≈ 20.6%) [Paper] [Code] [Poster]