Collabonet: Collaboration of Generative Models by Unsupervised Classification. - Hyeongmin Lee; Taeoh Kim; Eungyeol Song; Sangyoun Lee (ICIP, 2018)

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)

SF-CNN: A Fast Compression Artifacts Removal via Spatial-To-Frequency Convolutional Neural Networks. - Taeoh Kim; Hyeongmin Lee; Hanbin Son; Sangyoun Lee (ICIP, 2019)

Sampling Operator to Learn the Scalable Correlation Filter for Visual Tracking. - Minkyu Lee; Taeoh Kim; Yuseok Ban; Eungyeol Song; Sangyoun Lee (IEEE Access, 2019)

Learning Spatial Transform for Video Frame Interpolation. - Hyeongmin Lee; Taeoh Kim; Tae-Young Chung; Daehyun Pak; Yuseok Ban; Sangyoun Lee (CoRR, 2019)

AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation. - Hyeongmin Lee; Taeoh Kim; Tae-Young Chung; Daehyun Pak; Yuseok Ban; Sangyoun Lee (CVPR, 2020)

Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. - Taeoh Kim; Hyeongmin Lee; MyeongAh Cho; Ho Seong Lee; Dong Heon Cho; Sangyoun Lee (ECCV Workshops (2), 2020)

AIM 2020 Challenge on Image Extreme Inpainting. - Evangelos Ntavelis; Andrés Romero; Siavash Bigdeli; Radu Timofte; Zheng Hui; Xiumei Wang; Xinbo Gao 001; Chajin Shin; Taeoh Kim; Hanbin Son; Sangyoun Lee; Chao Li 034; et al. (ECCV Workshops (3), 2020)

Extrapolative-Interpolative Cycle-Consistency Learning For Video Frame Extrapolation. - Sangjin Lee; Hyeongmin Lee; Taeoh Kim; Sangyoun Lee (ICIP, 2020)

Relational Deep Feature Learning for Heterogeneous Face Recognition. - MyeongAh Cho; Taeoh Kim; Ig-Jae Kim; Sangyoun Lee (CoRR, 2020)

Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks. - Hyeongmin Lee; Taeoh Kim; Hanbin Son; Sangwook Baek; Minsu Cheon; Sangyoun Lee (CoRR, 2020)

Smoother Network Tuning and Interpolation for Continuous-level Image Processing. - Hyeongmin Lee; Taeoh Kim; Hanbin Son; Sangwook Baek; Minsu Cheon; Sangyoun Lee (CoRR, 2020)

Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features. - MyeongAh Cho; Taeoh Kim; Sangyoun Lee (CoRR, 2020)

Wi-Fi Backscatter System with Tag Sensors Using Multi-Antennas for Increased Data Rate and Reliability. - Taeoh Kim; Hyobeen Park; Yunho Jung; Seongjoo Lee (Sensors, 2020)

Test-Time Adaptation for Out-Of-Distributed Image Inpainting. - Chajin Shin; Taeoh Kim; Sangjin Lee; Sangyoun Lee (ICIP, 2021)

Block-Attentive Subpixel Prediction Networks for Computationally Efficient Image Restoration. - Taeoh Kim; Chajin Shin; Sangjin Lee; Sangyoun Lee (IEEE Access, 2021)

Short-term photovoltaic power generation predicting by input/output structure of weather forecast using deep learning. - Dongha Shin; Eungyu Ha; Taeoh Kim; Changbok Kim (Soft Comput., 2021)

Relational Deep Feature Learning for Heterogeneous Face Recognition. - MyeongAh Cho; Taeoh Kim; Ig-Jae Kim; Kyungjae Lee 003; Sangyoun Lee (IEEE Trans. Inf. Forensics Secur., 2021)

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. - Jinhyung Kim; Taeoh Kim; Minho Shim; Dongyoon Han; Dongyoon Wee; Junmo Kim 002 (CoRR, 2022)

Unsupervised video anomaly detection via normalizing flows with implicit latent features. - MyeongAh Cho; Taeoh Kim; Woo Jin Kim; Suhwan Cho; Sangyoun Lee (Pattern Recognit., 2022)

Geometry-Aware Deep Video Deblurring via Recurrent Feature Refinement. - Taeoh Kim; Sangyoun Lee (IEEE Trans. Image Process., 2022)

Enhanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks. - Hanbin Son; Taeoh Kim; Hyeongmin Lee; Sangyoun Lee (IEEE Trans. Image Process., 2022)

Frequency Selective Augmentation for Video Representation Learning. - Jinhyung Kim; Taeoh Kim; Minho Shim; Dongyoon Han; Dongyoon Wee; Junmo Kim 002 (AAAI, 2023)

Decomposed Cross-Modal Distillation for RGB-based Temporal Action Detection. - Pilhyeon Lee; Taeoh Kim; Minho Shim; Dongyoon Wee; Hyeran Byun (CVPR, 2023)

Exploring Temporally Dynamic Data Augmentation for Video Recognition. - Taeoh Kim; Jinhyung Kim; Minho Shim; Sangdoo Yun; Myunggu Kang; Dongyoon Wee; Sangyoun Lee (ICLR, 2023)

Masked Autoencoder for Unsupervised Video Summarization. - Minho Shim; Taeoh Kim; Jinhyung Kim; Dongyoon Wee (CoRR, 2023)

Classification Matters: Improving Video Action Detection with Class-Specific Attention. - Jinsung Lee; Taeoh Kim; Inwoong Lee; Minho Shim; Dongyoon Wee; Minsu Cho; Suha Kwak (ECCV (20), 2024)

Towards Multi-Domain Learning for Generalizable Video Anomaly Detection. - MyeongAh Cho; Taeoh Kim; Minho Shim; Dongyoon Wee; Sangyoun Lee (NeurIPS, 2024)

A Simple Baseline with Single-encoder for Referring Image Segmentation. - Seonghoon Yu; Ilchae Jung; Byeongju Han; Taeoh Kim; Yunho Kim; Dongyoon Wee; Jeany Son (CoRR, 2024)

A Nonlinear, Regularized, and Data-independent Modulation for Continuously Interactive Image Processing Network. - Hyeongmin Lee; Taeoh Kim; Hanbin Son; Sangwook Baek; Minsu Cheon; Sangyoun Lee (Int. J. Comput. Vis., 2024)

CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images. - Jungho Lee; Suhwan Cho; Taeoh Kim; Ho-Deok Jang; Minhyeok Lee; Geonho Cha; Dongyoon Wee; Dogyoon Lee; Sangyoun Lee (CVPR, 2025)

CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images. - Jungho Lee; Donghyeong Kim; Dogyoon Lee; Suhwan Cho; Minhyeok Lee; Wonjoon Lee; Taeoh Kim; Dongyoon Wee; Sangyoun Lee (CoRR, 2025)

Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval. - WonJun Moon; Cheol-Ho Cho; Woojin Jun; Minho Shim; Taeoh Kim; Inwoong Lee; Dongyoon Wee; Jae-Pil Heo (CoRR, 2025)

Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs. - Jeongseok Hyun; Sukjun Hwang; Su Ho Han; Taeoh Kim; Inwoong Lee; Dongyoon Wee; Joon-Young Lee; Seon Joo Kim; Minho Shim (CoRR, 2025)