kimsekeun

ConvMAE

ConvMAE: Masked Convolution Meets Masked Autoencoders

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

Assessment-of-Valve-Regurgitation-Severity-via-Contrastive-Learning-and-Multi-view-Video-Integration

Assessment of Valve Regurgitation Severity via Contrastive Learning and Multi-view Video Integration

kimsekeun

MediViSTA-SAM

sk.github.io

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

InternVideo

Video Foundation Models & Data for Multimodal Understanding

RETFound_MAE

RETFound - A foundation model for retinal image

kimsekeun/MediViSTA-SAM

kimsekeun/Assessment-of-Valve-Regurgitation-Severity-via-Contrastive-Learning-and-Multi-view-Video-Integration

Assessment of Valve Regurgitation Severity via Contrastive Learning and Multi-view Video Integration

kimsekeun/kimsekeun

kimsekeun/sk.github.io