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Taeoh Kim
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2020 – today
- 2024
- [j9]Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee:
A Nonlinear, Regularized, and Data-independent Modulation for Continuously Interactive Image Processing Network. Int. J. Comput. Vis. 132(1): 74-94 (2024) - [c12]Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak:
Classification Matters: Improving Video Action Detection with Class-Specific Attention. ECCV (20) 2024: 450-467 - [i16]Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak:
Classification Matters: Improving Video Action Detection with Class-Specific Attention. CoRR abs/2407.19698 (2024) - [i15]Seonghoon Yu, Ilchae Jung, Byeongju Han, Taeoh Kim, Yunho Kim, Dongyoon Wee, Jeany Son:
A Simple Baseline with Single-encoder for Referring Image Segmentation. CoRR abs/2408.15521 (2024) - 2023
- [c11]Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Frequency Selective Augmentation for Video Representation Learning. AAAI 2023: 1124-1132 - [c10]Pilhyeon Lee, Taeoh Kim, Minho Shim, Dongyoon Wee, Hyeran Byun:
Decomposed Cross-Modal Distillation for RGB-based Temporal Action Detection. CVPR 2023: 2373-2383 - [c9]Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee:
Exploring Temporally Dynamic Data Augmentation for Video Recognition. ICLR 2023 - [i14]Pilhyeon Lee, Taeoh Kim, Minho Shim, Dongyoon Wee, Hyeran Byun:
Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection. CoRR abs/2303.17285 (2023) - [i13]Minho Shim, Taeoh Kim, Jinhyung Kim, Dongyoon Wee:
Masked Autoencoder for Unsupervised Video Summarization. CoRR abs/2306.01395 (2023) - 2022
- [j8]MyeongAh Cho, Taeoh Kim, Woo Jin Kim, Suhwan Cho, Sangyoun Lee:
Unsupervised video anomaly detection via normalizing flows with implicit latent features. Pattern Recognit. 129: 108703 (2022) - [j7]Hanbin Son, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee:
Enhanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks. IEEE Trans. Image Process. 31: 664-677 (2022) - [j6]Taeoh Kim, Sangyoun Lee:
Geometry-Aware Deep Video Deblurring via Recurrent Feature Refinement. IEEE Trans. Image Process. 31: 1176-1189 (2022) - [i12]Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. CoRR abs/2204.03865 (2022) - [i11]Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee:
Exploring Temporally Dynamic Data Augmentation for Video Recognition. CoRR abs/2206.15015 (2022) - [i10]MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee:
NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. CoRR abs/2208.02417 (2022) - 2021
- [j5]Taeoh Kim, Chajin Shin, Sangjin Lee, Sangyoun Lee:
Block-Attentive Subpixel Prediction Networks for Computationally Efficient Image Restoration. IEEE Access 9: 90881-90895 (2021) - [j4]Dongha Shin, Eungyu Ha, Taeoh Kim, Changbok Kim:
Short-term photovoltaic power generation predicting by input/output structure of weather forecast using deep learning. Soft Comput. 25(1): 771-783 (2021) - [j3]MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Kyungjae Lee, Sangyoun Lee:
Relational Deep Feature Learning for Heterogeneous Face Recognition. IEEE Trans. Inf. Forensics Secur. 16: 376-388 (2021) - [c8]Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee:
Test-Time Adaptation for Out-Of-Distributed Image Inpainting. ICIP 2021: 2009-2013 - [i9]Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee:
Test-Time Adaptation for Out-of-distributed Image Inpainting. CoRR abs/2102.01360 (2021) - 2020
- [j2]Taeoh Kim, Hyobeen Park, Yunho Jung, Seongjoo Lee:
Wi-Fi Backscatter System with Tag Sensors Using Multi-Antennas for Increased Data Rate and Reliability. Sensors 20(5): 1314 (2020) - [c7]Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee:
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation. CVPR 2020: 5315-5324 - [c6]Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee:
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. ECCV Workshops (2) 2020: 386-403 - [c5]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741 - [c4]Sangjin Lee, Hyeongmin Lee, Taeoh Kim, Sangyoun Lee:
Extrapolative-Interpolative Cycle-Consistency Learning For Video Frame Extrapolation. ICIP 2020: 1571-1575 - [i8]MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Sangyoun Lee:
Relational Deep Feature Learning for Heterogeneous Face Recognition. CoRR abs/2003.00697 (2020) - [i7]Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee:
Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks. CoRR abs/2003.05145 (2020) - [i6]Sangjin Lee, Hyeongmin Lee, Taeoh Kim, Sangyoun Lee:
Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation. CoRR abs/2005.13194 (2020) - [i5]Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee:
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. CoRR abs/2008.05721 (2020) - [i4]Hanbin Son, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee:
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks. CoRR abs/2009.14754 (2020) - [i3]Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee:
Smoother Network Tuning and Interpolation for Continuous-level Image Processing. CoRR abs/2010.02270 (2020) - [i2]MyeongAh Cho, Taeoh Kim, Sangyoun Lee:
Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features. CoRR abs/2010.07524 (2020)
2010 – 2019
- 2019
- [j1]Minkyu Lee, Taeoh Kim, Yuseok Ban, Eungyeol Song, Sangyoun Lee:
Sampling Operator to Learn the Scalable Correlation Filter for Visual Tracking. IEEE Access 7: 11554-11564 (2019) - [c3]MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee:
NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. ICB 2019: 1-8 - [c2]Taeoh Kim, Hyeongmin Lee, Hanbin Son, Sangyoun Lee:
SF-CNN: A Fast Compression Artifacts Removal via Spatial-To-Frequency Convolutional Neural Networks. ICIP 2019: 3606-3610 - [i1]Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee:
Learning Spatial Transform for Video Frame Interpolation. CoRR abs/1907.10244 (2019) - 2018
- [c1]Hyeongmin Lee, Taeoh Kim, Eungyeol Song, Sangyoun Lee:
Collabonet: Collaboration of Generative Models by Unsupervised Classification. ICIP 2018: 1068-1072
Coauthor Index
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last updated on 2024-12-11 21:42 CET by the dblp team
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