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Jun-Hyuk Kim
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Journal Articles
- 2022
- [j5]Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee:
Successive learned image compression: Comprehensive analysis of instability. Neurocomputing 506: 12-24 (2022) - 2021
- [j4]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon
, Jong-Seok Lee
:
Volatile-Nonvolatile Memory Network for Progressive Image Super-Resolution. IEEE Access 9: 37487-37496 (2021) - [j3]Seong-Eun Moon
, Jun-Hyuk Kim, Sun-Wook Kim, Jong-Seok Lee
:
Prediction of Car Design Perception Using EEG and Gaze Patterns. IEEE Trans. Affect. Comput. 12(4): 843-856 (2021) - 2020
- [j2]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon
, Jong-Seok Lee
:
Deep learning-based image super-resolution considering quantitative and perceptual quality. Neurocomputing 398: 347-359 (2020) - [j1]Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon
, Jong-Seok Lee
:
MAMNet: Multi-path adaptive modulation network for image super-resolution. Neurocomputing 402: 38-49 (2020)
Conference and Workshop Papers
- 2023
- [c18]Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee:
Demystifying Randomly Initialized Networks for Evaluating Generative Models. AAAI 2023: 8482-8490 - 2022
- [c17]Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee:
Joint Global and Local Hierarchical Priors for Learned Image Compression. CVPR 2022: 5982-5991 - [c16]Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. ICPR 2022: 1287-1293 - 2021
- [c15]Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack. ICCV 2021: 7648-7656 - [c14]Jong-Wook Han, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
Edge Attention Network for Image Deblurring and Super-Resolution. SMC 2021: 2401-2406 - 2020
- [c13]Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization. ACCV (4) 2020: 301-317 - [c12]Kai Zhang, Martin Danelljan, Yawei Li
, Radu Timofte
, Jie Liu
, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He
, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong
, Jingwen He, Yu Qiao
, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara
, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao
, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni
:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c11]Geun-Woo Jeon
, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
:
LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture. ECCV Workshops (3) 2020: 73-86 - [c10]Pengxu Wei, Hannan Lu, Radu Timofte
, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han
, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye
, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni
, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422 - [c9]Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, Jong-Seok Lee:
Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning. ICASSP 2020: 2063-2067 - [c8]Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
Srzoo: An Integrated Repository For Super-Resolution Using Deep Learning. ICASSP 2020: 2508-2512 - [c7]Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee:
Instability of Successive Deep Image Compression. ACM Multimedia 2020: 247-255 - 2019
- [c6]Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks. ICCV 2019: 303-311 - 2018
- [c5]Jun-Hyuk Kim, Jong-Seok Lee:
Deep Residual Network With Enhanced Upscaling Module for Super-Resolution. CVPR Workshops 2018: 800-808 - [c4]Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Generative Adversarial Network-Based Image Super-Resolution Using Perceptual Content Losses. ECCV Workshops (5) 2018: 51-62 - [c3]Jun-Hyuk Kim, Jun-Ho Choi, Choong-Hyun Seo, Jaehyuk Chang, Jong-Seok Lee:
Deep learning-based super-resolution for digital comics. SIGGRAPH ASIA Posters 2018: 19:1-19:2 - 2017
- [c2]Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, Jong-Seok Lee:
Assessing Product Design Using Photos and Real Products. CHI Extended Abstracts 2017: 1100-1107 - 2016
- [c1]Jun-Hyuk Kim, Jong-Seok Lee:
Travel photo album summarization based on aesthetic quality, interestingness, and memorableness. APSIPA 2016: 1-5
Informal and Other Publications
- 2024
- [i13]Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee:
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. CoRR abs/2403.02944 (2024) - 2022
- [i12]Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee:
Demystifying Randomly Initialized Networks for Evaluating Generative Models. CoRR abs/2208.09218 (2022) - 2021
- [i11]Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. CoRR abs/2104.15022 (2021) - [i10]Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee:
Joint Global and Local Hierarchical Priors for Learned Image Compression. CoRR abs/2112.04487 (2021) - 2020
- [i9]Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
SRZoo: An integrated repository for super-resolution using deep learning. CoRR abs/2006.01339 (2020) - [i8]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i7]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri
, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020) - [i6]Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition. CoRR abs/2011.14585 (2020) - 2019
- [i5]Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks. CoRR abs/1904.06097 (2019) - 2018
- [i4]Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Generative adversarial network-based image super-resolution using perceptual content losses. CoRR abs/1809.04783 (2018) - [i3]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality. CoRR abs/1809.04789 (2018) - [i2]Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee:
RAM: Residual Attention Module for Single Image Super-Resolution. CoRR abs/1811.12043 (2018) - [i1]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network. CoRR abs/1811.12546 (2018)
Coauthor Index
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