Jun-Hyuk Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
11
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. | Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee |
| 2023 | AAAI | Demystifying Randomly Initialized Networks for Evaluating Generative Models. | Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee |
| 2022 | CVPR | Joint Global and Local Hierarchical Priors for Learned Image Compression. | Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee |
| 2022 | ICPR | Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. | Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee |
| 2021 | ICCV | Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack. | Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee |
| 2021 | SMC | Edge Attention Network for Image Deblurring and Super-Resolution. | Jong-Wook Han, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee |
| 2020 | ACCV | Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization. | Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee |
| 2020 | ECCV | LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture. | Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee |
| 2020 | ECCV | AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. | 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 | ECCV | AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. | 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, ric 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 | ICASSP | Srzoo: An Integrated Repository For Super-Resolution Using Deep Learning. | Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee |
| 2020 | ICASSP | Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning. | Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, Jong-Seok Lee |
| 2019 | ICCV | Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks. | Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee |
| 2018 | CVPR | Deep Residual Network With Enhanced Upscaling Module for Super-Resolution. | Jun-Hyuk Kim, Jong-Seok Lee |
| 2018 | ECCV | Generative Adversarial Network-Based Image Super-Resolution Using Perceptual Content Losses. | Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee |
| 2018 | SiggraphA | Deep learning-based super-resolution for digital comics. | Jun-Hyuk Kim, Jun-Ho Choi, Choong-Hyun Seo, Jaehyuk Chang, Jong-Seok Lee |
| 2017 | CHI | Assessing Product Design Using Photos and Real Products. | Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, Jong-Seok Lee |