| Ntire 2018 challenge on image dehazing: Methods and results C Ancuti, CO Ancuti, R Timofte Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 177 | 2018 |
| Learning-Based Just-Noticeable-Quantization-Distortion Modeling for Perceptual Video Coding S Ki, SH Bae, M Kim, H Ko IEEE Transactions on Image Processing 27 (7), 3178-3193, 2018 | 69 | 2018 |
| A novel just-noticeable-difference-based saliency-channel attention residual network for full-reference image quality predictions S Seo, S Ki, M Kim IEEE Transactions on Circuits and Systems for Video Technology 31 (7), 2602-2616, 2020 | 58* | 2020 |
| Fully end-to-end learning based conditional boundary equilibrium GAN with receptive field sizes enlarged for single ultra-high resolution image dehazing S Ki, H Sim, JS Choi, S Kim, M Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 34 | 2018 |
| High-resolution image dehazing with respect to training losses and receptive field sizes H Sim, S Ki, JS Choi, S Seo, S Kim, M Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 25 | 2018 |
| Learning-Based JND-Directed HDR Video Preprocessing for Perceptually Lossless Compression With HEVC S Ki, J Do, M Kim IEEE Access 8, 228605-228618, 2020 | 15 | 2020 |
| Just-noticeable-quantization-distortion based preprocessing for perceptual video coding S Ki, M Kim, H Ko 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 10 | 2017 |
| Information-theoretic gan compression with variational energy-based model M Kang, H Yoo, E Kang, S Ki, HE Lee, B Han Advances in Neural Information Processing Systems 35, 18241-18255, 2022 | 2 | 2022 |
| Scalable Video Coding using Super-Resolution based on Convolutional Neural Networks for Video Transmission over Very Narrow-Bandwidth Networks DE Kim, S Ki, M Kim, KN Jun, SH Baek, DH Kim, JW Choi Journal of Broadcast Engineering 24 (1), 132-141, 2019 | 1 | 2019 |
| CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment D Kwon, D Kim, S Ki, Y Jo, HE Lee, SJ Kim arXiv preprint arXiv:2406.01020, 2024 | | 2024 |
| Temporally adaptive and region-selective signaling of applying multiple neural network models S Ki, M Kim Proceedings of the Korean Society of Broadcast Engineers Conference, 237-240, 2020 | | 2020 |
| Content-Adaptive Model Update of Convolutional Neural Networks for Super-Resolution S Ki, M Kim Proceedings of the Korean Society of Broadcast Engineers Conference, 234-236, 2020 | | 2020 |
| Performance Analysis of Super-Resolution based Video Coding for HEVC S Ki, DE Kim, KN Jun, SH Baek, JW Choi, DH Kim, M Kim Journal of Broadcast Engineering 24 (2), 306-314, 2019 | | 2019 |
| Accelerating Deep learning based Super resolution algorithm using GPU S Ki, J Choi, S Kim, M Kim Proceedings of the Korean Society of Broadcast Engineers Conference, 190-191, 2017 | | 2017 |
| Just noticeable quantization blur model based on the DCT complexity feature of the image S Ki, M Kim Proceedings of the Korean Society of Broadcast Engineers Conference, 70-72, 2016 | | 2016 |
| JND based Video Pre-processing Adaptive to Quantization Step sizes for Perceptual Redundancy Reduction S Ki, M Kim Proceedings of the Korean Society of Broadcast Engineers Conference, 100-102, 2016 | | 2016 |
