| Hexagon-based search pattern for fast block motion estimation C Zhu, X Lin, LP Chau IEEE transactions on circuits and systems for video technology 12 (5), 349-355, 2002 | 1221 | 2002 |
| Independently recurrent neural network (indrnn): Building a longer and deeper rnn S Li, W Li, C Cook, C Zhu, Y Gao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 973 | 2018 |
| Distribution-aware coordinate representation for human pose estimation F Zhang, X Zhu, H Dai, M Ye, C Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 499 | 2020 |
| Fast crowd density estimation with convolutional neural networks M Fu, P Xu, X Li, Q Liu, M Ye, C Zhu Engineering Applications of Artificial Intelligence 43, 81-88, 2015 | 267 | 2015 |
| Real-world single image super-resolution: A brief review H Chen, X He, L Qing, Y Wu, C Ren, RE Sheriff, C Zhu Information Fusion 79, 124-145, 2022 | 239 | 2022 |
| Enhanced hexagonal search for fast block motion estimation C Zhu, X Lin, L Chau, LM Po IEEE transactions on Circuits and Systems for Video Technology 14 (10), 1210 …, 2004 | 236 | 2004 |
| Siamese network for RGB-D salient object detection and beyond K Fu, DP Fan, GP Ji, Q Zhao, J Shen, C Zhu IEEE transactions on pattern analysis and machine intelligence 44 (9), 5541-5559, 2021 | 210 | 2021 |
| A novel hexagon-based search algorithm for fast block motion estimation C Zhu, X Lin, LP Chau, KP Lim, HA Ang, CY Ong 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 202 | 2001 |
| AMP-Net: Denoising-based deep unfolding for compressive image sensing Z Zhang, Y Liu, J Liu, F Wen, C Zhu IEEE Transactions on Image Processing 30, 1487-1500, 2020 | 183 | 2020 |
| A deep learning approach for multi-frame in-loop filter of HEVC T Li, M Xu, C Zhu, R Yang, Z Wang, Z Guan IEEE Transactions on Image Processing 28 (11), 5663-5678, 2019 | 177 | 2019 |
| Automated detection of Parkinson’s disease based on multiple types of sustained phonations using linear discriminant analysis and genetically optimized neural network L Ali, C Zhu, Z Zhang, Y Liu IEEE journal of translational engineering in health and medicine 7, 1-10, 2019 | 174 | 2019 |
| Dast: Data-free substitute training for adversarial attacks M Zhou, J Wu, Y Liu, S Liu, C Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 154 | 2020 |
| Video coding optimization for virtual reality 360-degree source Y Zhou, L Tian, C Zhu, X Jin, Y Sun IEEE Journal of Selected Topics in Signal Processing 14 (1), 118-129, 2019 | 138 | 2019 |
| Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection L Ali, C Zhu, M Zhou, Y Liu Expert Systems with Applications 137, 22-28, 2019 | 133 | 2019 |
| Binocular just-noticeable-difference model for stereoscopic images Y Zhao, Z Chen, C Zhu, YP Tan, L Yu IEEE Signal Processing Letters 18 (1), 19-22, 2010 | 133 | 2010 |
| Low rank tensor completion for multiway visual data Z Long, Y Liu, L Chen, C Zhu Signal processing 155, 301-316, 2019 | 132 | 2019 |
| Deep embedded multi-view clustering with collaborative training J Xu, Y Ren, G Li, L Pan, C Zhu, Z Xu Information Sciences 573, 279-290, 2021 | 129 | 2021 |
| 3D-TV system with depth-image-based rendering C Zhu, Y Zhao, L Yu, M Tanimoto Architect. Tech. Challenges, 2013 | 129* | 2013 |
| Reliable Parkinson’s disease detection by analyzing handwritten drawings: construction of an unbiased cascaded learning system based on feature selection and adaptive boosting … L Ali, C Zhu, NA Golilarz, A Javeed, M Zhou, Y Liu Ieee Access 7, 116480-116489, 2019 | 121 | 2019 |
| Improved robust tensor principal component analysis via low-rank core matrix Y Liu, L Chen, C Zhu IEEE Journal of Selected Topics in Signal Processing 12 (6), 1378-1389, 2018 | 120 | 2018 |
Yipeng Liu (刘翼鹏)University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
