| Power control in cellular massive MIMO with varying user activity: A deep learning solution T Van Chien, TN Canh, E Björnson, EG Larsson IEEE Transactions on Wireless Communications 19 (9), 5732-5748, 2020 | 154 | 2020 |
| NTIRE 2022 challenge on super-resolution and quality enhancement of compressed video: Dataset, methods and results R Yang, R Timofte, M Zheng, Q Xing, M Qiao, M Xu, L Jiang, H Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 38 | 2022 |
| Deep Compressive Sensing for Visual Privacy Protection in FlatCam Imaging TN Canh, H Nagahara Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 32* | 2019 |
| Multi-scale/multi-resolution kronecker compressive imaging TN Canh, KQ Dinh, B Jeon 2015 IEEE International Conference on Image Processing (ICIP), 2700-2704, 2015 | 29 | 2015 |
| Multi-Scale Deep Compressive Sensing Network TN Canh, B Jeon 2018 IEEE International Conference on Visual Communications and Image …, 2018 | 24 | 2018 |
| Multi-Scale Deep Compressive Imaging TN Canh, B Jeon IEEE Transactions on Computational Imaging 7, 86-97, 2020 | 19 | 2020 |
| Rate-Distortion Optimized Quantization: A Deep Learning Approach TN Canh, M Xu, B Jeon 2019 IEEE High Performance Extreme Computing Conference, 2018 | 19 | 2018 |
| Edge-preserving nonlocal weighting scheme for total variation based compressive sensing recovery TN Canh, KQ Dinh, B Jeon 2014 IEEE International Conference on Multimedia and Expo (ICME), 1-5, 2014 | 19 | 2014 |
| Restricted Structural Random Matrix for compressive sensing TN Canh, B Jeon Signal Processing: Image Communication 90, 116017, 2021 | 16 | 2021 |
| Focal Stack Based Light Field Coding for Refocusing Applications V Van Duong, TN Canh, TN Huu, B Jeon 2019 IEEE International Symposium on Broadband Multimedia Systems and …, 2019 | 16 | 2019 |
| Simplified Level Estimation for Rate-Distortion Optimized Quantization of HEVC M Xu, TN Canh, B Jeon IEEE Transactions on Broadcasting 66 (1), 88-99, 2019 | 15 | 2019 |
| Difference of Convolution for Deep Compressive Sensing TN Canh, B Jeon 2019 IEEE International Conference on Image Processing (ICIP), 2105-2109, 2019 | 14 | 2019 |
| Detail-preserving compressive sensing recovery based on cartoon texture image decomposition TN Canh, KQ Dinh, B Jeon 2014 IEEE International Conference on Image Processing (ICIP), 1327-1331, 2014 | 14 | 2014 |
| Total variation reconstruction for Kronecker compressive sensing with a new regularization TN Canh, KQ Dinh, B Jeon 2013 Picture Coding Symposium (PCS), 261-264, 2013 | 14 | 2013 |
| Deep Learning-Based Kronecker Compressive Imaging TN Canh, B Jeon IEEE International Conference on Consumer Electronics - Asia, 2018 | 11 | 2018 |
| Simplified Rate-Distortion Optimized Quantization for HEVC M Xu, TN Canh, B Jeon 2018 IEEE International Symposium on Broadband Multimedia Systems and …, 2018 | 10 | 2018 |
| Compressive sensing reconstruction via decomposition TN Canh, KQ Dinh, B Jeon Signal Processing: Image Communication 49, 63-78, 2016 | 10 | 2016 |
| Boundary Handling For Video Based Light Field Coding With A New Hybrid Scan Order TN Canh, B Jeon 2019 SPIE International Workshop on Advanced Image Technology (IWAIT), 2019 | 9 | 2019 |
| Multi-resolution kronecker compressive sensing TN Canh, KQ Dinh, B Jeon IEIE Transactions on Smart Processing and Computing 3 (1), 19-27, 2014 | 9 | 2014 |
| Decomposition-based Multiscale Compressed Sensing TN Canh, KQ Dinh, B Jeon IEEE International Workshop on Advanced Image Technology 2018, 2018 | 7 | 2018 |
Byeungwoo JeonProfessor, Sungkyunkwan UniversityVerified email at skku.edu
