Taehoon Kim

About

Hi! I am a 3rd year MS/PhD integrated student at SNU Computer Vision Lab, advised by Bohyung Han. My primary research interest lies in the development of deep learning models that exhibit robust behavior in scenarios where distributional challenges are prevalent, e.g. Continual Learning and Domain Generalizaton. Currently, I am interested in reliable and controllable generative models. 

Education


-MS/Ph.D. Electrical and Computer Engineering, Seoul National University

 Mar, 2022 ~ Current

 Advisor: Bohyung Han


-B.S. Mathematical Science & Computational Science, Seoul National University

 Mar, 2016 ~ Feb, 2022

Publications

Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning

Taehoon Kim, Donghwan Jang, Bohyung Han

CLVision Workshop, CVPR2024

[paper]

Cross-Class Feature Augmentation for Class Incremental Learning

Taehoon Kim, Jaeyoo Park, Bohyung Han

AAAI2024,

CLVision Workshop, CVPR2024

[arxiv]

Randomized Adversarial Perturbations for Domain Generalization

Taehoon Kim, Bohyung Han

WACV2024

[arxiv]

Services


Teaching Assistant


Academic Review