Jun-Hyuk Kim

42 papers A* 7B 2Misc 2Journal 22Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
DESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual Training.
CoRR
JiYun Kong, Jun-Hyuk Kim, Jong-Seok Lee
2025 J jnl
Progressive Learned Image Compression for Machine Perception.
CoRR
Jungwoo Kim, Jun-Hyuk Kim, Jong-Seok Lee
2025 J jnl
SLIM: Semantic-based Low-bitrate Image compression for Machines by leveraging diffusion.
CoRR
Hyeonjin Lee, Jun-Hyuk Kim, Jong-Seok Lee
2024 A* conf
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec.
NeurIPS
Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh
2024 J jnl
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec.
CoRR
Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh
2024 A* conf
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity.
ICML
Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee
2024 J jnl
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity.
CoRR
Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee
2023 A* conf
Demystifying Randomly Initialized Networks for Evaluating Generative Models.
AAAI
Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee
2022 B conf
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks.
ICPR
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2022 J jnl
Demystifying Randomly Initialized Networks for Evaluating Generative Models.
CoRR
Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee
2022 A* conf
Joint Global and Local Hierarchical Priors for Learned Image Compression.
CVPR
Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee
2022 J jnl
Successive learned image compression: Comprehensive analysis of instability.
Neurocomputing
Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee
2021 J jnl
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks.
CoRR
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2021 B conf
Edge Attention Network for Image Deblurring and Super-Resolution.
SMC
Jong-Wook Han, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
2021 J jnl
Joint Global and Local Hierarchical Priors for Learned Image Compression.
CoRR
Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee
2021 A* conf
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack.
ICCV
Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee
2021 J jnl
Prediction of Car Design Perception Using EEG and Gaze Patterns.
IEEE Trans. Affect. Comput.
Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, Jong-Seok Lee
2021 J jnl
Volatile-Nonvolatile Memory Network for Progressive Image Super-Resolution.
IEEE Access
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee
2020 — conf
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.
ECCV Workshops (3)
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
2020 J jnl
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.
CoRR
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
2020 — conf
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.
ECCV Workshops (3)
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
2020 J jnl
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.
CoRR
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
2020 — conf
Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization.
ACCV (4)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2020 J jnl
Deep learning-based image super-resolution considering quantitative and perceptual quality.
Neurocomputing
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee
2020 Misc conf
Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning.
ICASSP
Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, Jong-Seok Lee
2020 A* conf
Instability of Successive Deep Image Compression.
ACM Multimedia
Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee
2020 J jnl
Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition.
CoRR
Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee
2020 — conf
LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture.
ECCV Workshops (3)
Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
2020 J jnl
MAMNet: Multi-path adaptive modulation network for image super-resolution.
Neurocomputing
Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee
2020 J jnl
SRZoo: An integrated repository for super-resolution using deep learning.
CoRR
Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
2020 Misc conf
Srzoo: An Integrated Repository For Super-Resolution Using Deep Learning.
ICASSP
Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
2019 A* conf
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks.
ICCV
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2019 J jnl
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks.
CoRR
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2018 J jnl
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality.
CoRR
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee
2018 — conf
Deep Residual Network With Enhanced Upscaling Module for Super-Resolution.
CVPR Workshops
Jun-Hyuk Kim, Jong-Seok Lee
2018 — conf
Deep learning-based super-resolution for digital comics.
SIGGRAPH ASIA Posters
Jun-Hyuk Kim, Jun-Ho Choi, Choong-Hyun Seo, Jaehyuk Chang, Jong-Seok Lee
2018 — conf
Generative Adversarial Network-Based Image Super-Resolution Using Perceptual Content Losses.
ECCV Workshops (5)
Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee
2018 J jnl
Generative adversarial network-based image super-resolution using perceptual content losses.
CoRR
Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee
2018 J jnl
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network.
CoRR
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee
2018 J jnl
RAM: Residual Attention Module for Single Image Super-Resolution.
CoRR
Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee
2017 — conf
Assessing Product Design Using Photos and Real Products.
CHI Extended Abstracts
Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, Jong-Seok Lee
2016 — conf
Travel photo album summarization based on aesthetic quality, interestingness, and memorableness.
APSIPA
Jun-Hyuk Kim, Jong-Seok Lee