Taeoh Kim

I am a Research Engineer at Clova Visual AI, NAVER Corp.

I received my Ph. D. in Electrical and Electronic Engineering at Yonsei University under the supervision of Prof. Sangyoun Lee.

E-mail: taeoh.kim [at] navercorp.com

CV  /  Google Scholar

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geovd Geometry-Aware Deep Video Deblurring via Recurrent Feature Refinement

Taeoh Kim, Sangyoun Lee

IEEE Transactions on Image Processing (TIP, IF 10.856), Accepted

spn Block-Attentive Subpixel Prediction Networks for Computationally Efficient Image Restoration

Taeoh Kim, Chajin Shin, Sangjin Lee, Sangyoun Lee

IEEE Access (IF 3.367), 2021
Paper

tta Test-Time Adaptation for Out-of-distributed Image Inpainting

Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee

ICIP, 2021
Paper / Code

aim AIM 2020 Challenge on Image Extreme Inpainting
2nd Place in the Image Inpainting Challenge Track 1: Classic Inpainting

Evangelos Ntavelis, AndrĀ“es Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee et al.

ECCV Workshops (Advances in Image Manipulation (AIM)), 2020
Paper

viprior Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
4th Place in the VIPriors Action Recognition Challenge

Taeoh Kim*, Hyeongmin Lee*, MyeongAh Cho*, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee (*Equal Contribution)

ECCV Workshops (1st Visual Inductive Priors (VIPriors) for Data-Efficient Deep Learning Workshop), 2020
Paper

spn Relational Deep Feature Learning for Heterogeneous Face Recognition

MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Kyungjae Lee, Sangyoun Lee

IEEE Transactions on Information Forensics and Security (IF 7.718), 2020
Paper

spn Extrapolative-Interpolative Cycle- Consistency Learning For Video Frame Extrapolation

Sangjin Lee, Hyeongmin Lee, Taeoh Kim, Sangyoun Lee

ICIP, 2020
Paper

spn AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation

Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee

CVPR, 2020
Paper / Code

spn Sampling Operator to Learn the Scalable Correlation Filter for Visual Tracking

Minkyu Lee, Taeoh Kim, Yuseok Ban, Eungyeol Song, Sangyoun Lee

IEEE Access (IF 3.367), 2019
Paper

spn SF-CNN: A Fast Compression Artifacts Removal via Spatial-To-Frequency Convolutional Neural Networks

Taeoh Kim, Hyeongmin Lee, Hanbin Son, Sangyoun Lee

ICIP, 2019
Paper

spn NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features

MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee

ICB, 2019
Paper

spn Collabonet: Collaboration of Generative Models by Unsupervised Classification

Hyeongmin Lee, Taeoh Kim, Eungyeol Song, Sangyoun Lee

ICIP, 2018
Paper


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