| Context-adaptive entropy model for end-to-end optimized image compression J Lee, S Cho, SK Beack ICLR2019, 2018 | 404 | 2018 |
| An end-to-end joint learning scheme of image compression and quality enhancement with improved entropy minimization J Lee, S Cho, M Kim arXiv preprint arXiv:1912.12817, 2019 | 54* | 2019 |
| Method and apparatus for video encoding and video decoding based on neural network NYK Seung-Hyun Cho, Youn-hee Kim, Jin-Wuk Seok, Joo-young Lee, LIM Woong ... US Patent 10,841,577, 2020 | 30 | 2020 |
| Inter-prediction method and apparatus using reference frame generated based on deep learning JSC Seung-Hyun Cho, KANG Je-Won, Na-Young Kim, Jung-Kyung Lee, Joo-young Lee ... US Patent 11,019,355, 2021 | 25 | 2021 |
| Method and apparatus for quantization JSC LIM Woong, Seung-Hyun Cho, Joo-young Lee, Youn-hee Kim, Jin-Wuk Seok ... US Patent 10,827,173, 2020 | 20* | 2020 |
| Towards the perceptual quality enhancement of low bit-rate compressed images Y Kim, S Cho, J Lee, SY Jeong, JS Choi, J Do Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Extended End-to-End optimized Image Compression Method based on a Context-Adaptive Entropy Model. J Lee, S Cho, S Jeong, H Kwon, H Ko, HY Kim, JS Choi CVPR Workshops, 0, 2019 | 13 | 2019 |
| Low Bit-rate Image Compression based on Post-processing with Grouped Residual Dense Network. S Cho, J Lee, J Kim, Y Kim, DW Kim, J Chung, S Jung CVPR Workshops, 0, 2019 | 12 | 2019 |
| Selective compression learning of latent representations for variable-rate image compression J Lee, S Jeong, M Kim NeurIPS2022, 2022 | 10 | 2022 |
| A training method for image compression networks to improve perceptual quality of reconstructions J Lee, D Kim, Y Kim, H Kwon, J Kim, T Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 10 | 2020 |
| A stereoscopic 3-D broadcasting system using fixed and mobile hybrid delivery and the quality assessment of the mixed resolution stereoscopic video J Lee, SH Kim, SY Jeong, JS Choi, DW Kang, KH Jung, J Kim IEEE Transactions on Broadcasting 61 (2), 222-237, 2015 | 8 | 2015 |
| Method and device for compressing image and neural network using hidden variable JSC Joo-young Lee, Seung-Hyun Cho, Youn-hee Kim, Jin-Wuk Seok, LIM Woong ... US Patent 11,477,468, 2022 | 6 | 2022 |
| Analysis of Channel Equalization Techniques of ATSC Main and Mobile Transmission System S Lim, SY Kim, I Hwang, DJ Kim, SH Kim, J Lee, HY Kim International Journal of Control and Automation 8 (5), 371-382, 2015 | 5 | 2015 |
| Bandwidth-efficient stereoscopic 3d broadcasting system utilizing mobile broadcast networks J Lee, SH Kim, S Jeong, JS Choi, J Kim 2013 International Conference on ICT Convergence (ICTC), 274-276, 2013 | 5 | 2013 |
| Development of fixed and mobile hybrid 3DTV for next generation terrestrial DTV SH Kim, J Lee, S Jeong, J Choi, J Kim 2013 3DTV Vision Beyond Depth (3DTV-CON), 1-2, 2013 | 5 | 2013 |
| Method and apparatus for processing images using image transform neural network and image inverse-transforming neural network JSC Youn-hee Kim, Hui-Yong Kim, Seung-Hyun Cho, Jin-Wuk Seok, Joo-young Lee ... US Patent App. 16/768,054, 2021 | 4* | 2021 |
| GPU-based real-time super-resolution system for high-quality UHD video up-conversion DY Lee, J Lee, JH Choi, JO Kim, HY Kim, JS Choi The Journal of Supercomputing 74, 456-484, 2018 | 4 | 2018 |
| Method and apparatus for image processing using context-adaptive entropy model US Patent 11,412,225, 0 | 4* | |
| End-to-end learnable multi-scale feature compression for vcm Y Kim, H Jeong, J Yu, Y Kim, J Lee, SY Jeong, HY Kim IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 3 | 2023 |
| ATSC 8-VSB and M/H hybrid 3DTV system development for terrestrial broadcasting services SH Kim, J Lee, JS Choi, J Kim, DW Kang, KH Jung Three-Dimensional Imaging, Visualization, and Display 2012 8384, 255-261, 2012 | 3 | 2012 |
Se Yoon Jeong (정세윤)Principal Member of Engineering Staff, ETRIetri.re.kr의 이메일 확인됨
