Joohyeok Kim

I am a first-year master student at the Yonsei University advised by Prof. Seong Jae Hwang. My research areas are computer vision, medical image analysis, and AI efficiency.

Selected Publications

Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration

V-ViT, a novel framework that enhances calibration by incorporating glaucoma-specific characteristics.

Taejin Jeong, Joohyeok Kim, Jaehoon Joo, Yeonwoo Jung, Hyeonmin Kim, Seong Jae Hwang

arXiv

EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything

EP-SAM, a weakly supervised semantic segmentation framework by CAM and SAM-based pseudo labeling for histopathology images.

Joonhyeon Song, Seohwan Yun, Seongho Yoon, Joohyeok Kim, Sangmin Lee

arXiv Code

CAD: Memory Efficient Convolutional Adapter for Segment Anything

CAD, a memory-efficient parallel convolutional adapter architecture for Segment Anything.

Joohyeok Kim, Joonhyeon Song, Seohwan Yun, Seongho Yoon, Sangmin Lee

arXiv Code