cv
Basics
| Name | Ye-Chan Kim |
| Label | M.S./Ph.D. Integrated student |
| dpcksdl78@hanyang.ac.kr | |
| Phone | 010-5309-7660 |
| Url | https://766o.github.io./ |
| Summary | I am an M.S./Ph.D. Integrated student at the Hanyang University Multimodal AI Lab, under the supervision of Professor Dong-jin Kim. |
Education
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2025.03 - Present Seoul, South Korea
M.S./Ph.D. Integrated
Hanyang University, Seoul, South Korea
Artificial Intelligence
- Supervision : Dong-Jin Kim
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2019.03 - 2025.02 Seoul, South Korea
Bachelor of Science (B.S)
Sejong University, Seoul, South Korea
Intelligent Mechatronics Engineering
- GPA : 4.17/4.5
Publications
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2026 SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
Ye-Chan Kim, SeungJu Cha, Si-Woo Kim, MinJu Jeon, HyunGee Kim, Dong-Jin Kim
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2025 Sali4Vid: Saliency-Aware Video Reweighting and Adaptive Caption Retrieval for Dense Video Captioning
Empirical Methods in Natural Language Processing (EMNLP)
MinJu Jeon, Si-Woo Kim, Ye-Chan Kim, HyunGee Kim, Dong-Jin Kim
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2025 SIDA: Synthetic Image Driven Zero-shot Domain Adaptation
ACM Multimedia (MM)
Ye-Chan Kim, SeungJu Cha, Si-Woo Kim, Taewhan Kim, Dong-Jin Kim
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2025 SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
ACM Multimedia (MM)
Si-Woo Kim, MinJu Jeon, Ye-Chan Kim, Soeun Lee, Taewhan Kim, Dong-Jin Kim
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2025 VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
SeungJu Cha, Kwanyoung Lee, Ye-Chan Kim, Hyunwoo Oh, Dong-Jin Kim
Skills
| Programming | |
| Python | |
| Pytorch |
Languages
| Korean | |
| Native speaker |
| English | |
| Intermediate |
Interests
| Video Understanding | |
| Dense Video Captioning | |
| Video Temporal Grounding |
| MLLM |
| Data Issues in Deep Learning |
Projects
- 2025.03 - 2025.11
Development of Origin Verification Method Using Hyperspectral Imaging Technology
Ministry of Agriculture, Food and Rural Affairs (MAFRA)
- Hyperspectral imaging-based origin verification research
- 2025.04 - Present
Self-Learning Framework for VLM-based Defect Detection and Explanation Model in Manufacturing Processes
Institute of Information & Communications Technology Planning & Evaluation (IITP)
- VLM-based defect detection and explanation in manufacturing