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Jinyeong Kim Hi, I'm an undergraduate student at Yonsei University, majoring in Medicine and AI. I am currently an intern at MICV Lab, working under the supervision of Prof. Seong Jae Hwang. My research interests include interpretability & explainability, clinical applications of AI, and multimodal models. |
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Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
Chanyoung Kim, Dayun Ju, Jinyeong Kim, Woojung Han, Roberto Alcover-Couso, Seong Jae Hwang arXiv, 2025 We develop the first watermarking method specifically designed for text-driven medical image synthesis, where regions of interest are automatically preserved from the watermarking process by generating an adaptive attention map. |
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Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang CVPR, 2025 Our work discovers that a few attention heads in frozen LVLMs demonstrate strong visual grounding capabilities. These "localization heads" immediately enable training-free visual grounding, achieving performance comparable to fine-tuning approaches while providing better interpretability. |
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See What You Are Told: Visual Attention Sink in Large Multimodal Models
Seil Kang*, Jinyeong Kim*, Junhyeok Kim, Seong Jae Hwang ICLR, 2025 Large multimodal models consistently see irrelevant parts of the input. Our work demystifies this phenomenon, dubbed "visual attention sink," and proposes a simple mitigation strategy. |
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Adopted from Jon Barron's website. |