| Saliencymix: A saliency guided data augmentation strategy for better regularization AFM Uddin, M Monira, W Shin, TC Chung, SH Bae arXiv preprint arXiv:2006.01791, 2020 | 151 | 2020 |
| A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need? C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ... arXiv preprint arXiv:2303.11717, 2023 | 126 | 2023 |
| A novel image quality assessment with globally and locally consilient visual quality perception SH Bae, M Kim IEEE Transactions on Image Processing 25 (5), 2392-2406, 2016 | 116 | 2016 |
| One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam, M Zhang, JU Kim, ... arXiv preprint arXiv:2304.06488, 2023 | 110 | 2023 |
| Faster segment anything: Towards lightweight sam for mobile applications C Zhang, D Han, Y Qiao, JU Kim, SH Bae, S Lee, CS Hong arXiv preprint arXiv:2306.14289, 2023 | 109 | 2023 |
| 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, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 100 | 2020 |
| Assessments of subjective video quality on HEVC-encoded 4K-UHD video for beyond-HDTV broadcasting services SH Bae, J Kim, M Kim, S Cho, JS Choi IEEE Transactions on Broadcasting 59 (2), 209-222, 2013 | 100 | 2013 |
| An HEVC-compliant perceptual video coding scheme based on JND models for variable block-sized transform kernels J Kim, SH Bae, M Kim IEEE Transactions on Circuits and Systems for Video Technology 25 (11), 1786 …, 2015 | 92 | 2015 |
| Solar farside magnetograms from deep learning analysis of STEREO/EUVI data T Kim, E Park, H Lee, YJ Moon, SH Bae, D Lim, S Jang, L Kim, IH Cho, ... Nature Astronomy 3 (5), 397-400, 2019 | 85 | 2019 |
| A novel generalized DCT-based JND profile based on an elaborate CM-JND model for variable block-sized transforms in monochrome images SH Bae, M Kim IEEE Transactions on Image processing 23 (8), 3227-3240, 2014 | 81 | 2014 |
| Multi-attention based ultra lightweight image super-resolution A Muqeet, J Hwang, S Yang, JH Kang, Y Kim, SH Bae Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 79 | 2020 |
| A novel DCT-based JND model for luminance adaptation effect in DCT frequency SH Bae, M Kim IEEE Signal Processing Letters 20 (9), 893-896, 2013 | 79 | 2013 |
| Real-time road lane detection in urban areas using LiDAR data J Jung, SH Bae Electronics 7 (11), 276, 2018 | 70 | 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 | 67 | 2018 |
| A DCT-based total JND profile for spatiotemporal and foveated masking effects SH Bae, M Kim IEEE Transactions on Circuits and Systems for Video Technology 27 (6), 1196-1207, 2016 | 67 | 2016 |
| HEVC-based perceptually adaptive video coding using a DCT-based local distortion detection probability model SH Bae, J Kim, M Kim IEEE Transactions on Image Processing 25 (7), 3343-3357, 2016 | 63 | 2016 |
| Large-scale, fast and accurate shot boundary detection through spatio-temporal convolutional neural networks A Hassanien, M Elgharib, A Selim, SH Bae, M Hefeeda, W Matusik arXiv preprint arXiv:1705.03281, 2017 | 62 | 2017 |
| Revisiting internal covariate shift for batch normalization M Awais, MTB Iqbal, SH Bae IEEE Transactions on Neural Networks and Learning Systems 32 (11), 5082-5092, 2020 | 59 | 2020 |
| Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification CH Hua, T Huynh-The, K Kim, SY Yu, T Le-Tien, GH Park, J Bang, ... International Journal of Medical Informatics 132, 103926, 2019 | 42 | 2019 |
| HRAN: Hybrid residual attention network for single image super-resolution A Muqeet, MTB Iqbal, SH Bae IEEE Access 7, 137020-137029, 2019 | 40 | 2019 |
Munchurl KimProfessor, School of Electrical Engineering, Korea Advanced Institute of Science and Technologykaist.ac.kr의 이메일 확인됨
