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Jisu Nam


I am a 3rd year Ph.D. student at Computer Vision LAB (CVLAB), advised by Prof. Seungryong Kim at at Korea Advanced Institute of Science and Technology (KAIST). My research primarily focuses on computer vision, machine learning, and deep learning, particularly text-to-image/video customization and image matching.

Work Experience



Research Intern at Adobe, San Jose, CA (2024.05 - 2024.08)
Mentors: Yang Zhou, Feng Liu, Jing Shi, Difan Liu, Zhan Xu
Project: Encoder-based Consistent Human Character Customization

Research Intern at Naver Cloud, Seoul, Korea (2023.04 - 2023.10)
Mentors: Seunggyu Chang, Heesu Kim, DongJae Lee
Project: Training-free Semantically Consistent Text-to-Image Customization

Publications



Locotrack Teaser Image

Local All-Pair Correspondence for Point Tracking

Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, Joon-Young Lee

ECCV 2024



DreamMatcher Teaser Image

DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization

Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, Seunggyu Chang

CVPR 2024



DiffMatch Teaser Image

Diffusion Model for Dense Matching

Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim

ICLR 2024, Oral, 1.2% acceptance rate



nemf Teaser Image

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, and Seungryong Kim

NeurIPS 2022



vat Teaser Image

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

Sunghwan Hong*, Seokju Cho*, Jisu Nam, Stephen Lin, Seungryong Kim

ECCV 2022



Template of Lior Yariv