| NTIRE 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2018 | 394 | 2018 |
| MAMNet: Multi-path adaptive modulation network for image super-resolution JH Kim, JH Choi, M Cheon, JS Lee Neurocomputing 402, 38-49, 2020 | 147* | 2020 |
| AIM 2020 challenge on efficient super-resolution: Methods and results K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ... European Conference on Computer Vision (ECCV) Workshops, 5-40, 2020 | 119 | 2020 |
| Joint global and local hierarchical priors for learned image compression JH Kim, B Heo, JS Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5992-6001, 2022 | 88 | 2022 |
| Evaluating robustness of deep image super-resolution against adversarial attacks JH Choi, H Zhang, JH Kim, CJ Hsieh, JS Lee IEEE International Conference on Computer Vision (ICCV), 303-311, 2019 | 86 | 2019 |
| Deep residual network with enhanced upscaling module for super-resolution JH Kim, JS Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2018 | 55 | 2018 |
| Generative adversarial network-based image super-resolution using perceptual content losses M Cheon, JH Kim, JH Choi, JS Lee European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 53 | 2018 |
| AIM 2020 challenge on real image super-resolution: Methods and results P Wei, H Lu, R Timofte, L Lin, W Zuo, Z Pan, B Li, T Xi, Y Fan, G Zhang, ... European Conference on Computer Vision (ECCV) Workshops, 392-422, 2020 | 47 | 2020 |
| Deep learning-based image super-resolution considering quantitative and perceptual quality JH Choi, JH Kim, M Cheon, JS Lee Neurocomputing 398, 347-359, 2020 | 45 | 2020 |
| Efficient deep learning-based lossy image compression via asymmetric autoencoder and pruning JH Kim, JH Choi, J Chang, JS Lee IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 24 | 2020 |
| Just one moment: Structural vulnerability of deep action recognition against one frame attack J Hwang, JH Kim, JH Choi, JS Lee IEEE International Conference on Computer Vision (ICCV), 7668-7676, 2021 | 20 | 2021 |
| Prediction of car design perception using EEG and gaze patterns SE Moon, JH Kim, SW Kim, JS Lee IEEE Transactions on Affective Computing 12 (4), 843-856, 2019 | 19 | 2019 |
| Lightweight and efficient image super-resolution with block state-based recursive network JH Choi, JH Kim, M Cheon, JS Lee arXiv preprint arXiv:1811.12546, 2018 | 16 | 2018 |
| Deep image destruction: Vulnerability of deep image-to-image models against adversarial attacks JH Choi, H Zhang, JH Kim, CJ Hsieh, JS Lee arXiv preprint arXiv:2104.15022, 2021 | 12 | 2021 |
| Instability of successive deep image compression JH Kim, S Jang, JH Choi, JS Lee ACM International Conference on Multimedia (MM), 247-255, 2020 | 12 | 2020 |
| Adversarially robust deep image super-resolution using entropy regularization JH Choi, H Zhang, JH Kim, CJ Hsieh, JS Lee Asian Conference on Computer Vision (ACCV), 2020 | 10 | 2020 |
| Assessing product design using photos and real products SE Moon, JH Kim, SW Kim, JS Lee ACM Conference on Human Factors in Computing Systems (CHI), Extended …, 2017 | 9 | 2017 |
| Travel photo album summarization based on aesthetic quality, interestingness, and memorableness JH Kim, JS Lee APSIPA Annual Summit and Conference (ASC), 1-5, 2016 | 8 | 2016 |
| Successive learned image compression: Comprehensive analysis of instability JH Kim, S Jang, JH Choi, JS Lee Neurocomputing 506, 12-24, 2022 | 7 | 2022 |
| Volatile-nonvolatile memory network for progressive image super-resolution JH Choi, JH Kim, M Cheon, JS Lee IEEE Access 9, 37487-37496, 2021 | 4 | 2021 |
Jong-Seok LeeProfessor at Yonsei UniversityVerified email at yonsei.ac.kr