| Vehicle re-identification using quadruple directional deep learning features J Zhu, H Zeng, J Huang, S Liao, Z Lei, C Cai, L Zheng IEEE Transactions on Intelligent Transportation Systems 21 (1), 410-420, 2019 | 177 | 2019 |
| Multi-label cnn based pedestrian attribute learning for soft biometrics J Zhu, S Liao, D Yi, Z Lei, SZ Li 2015 international conference on biometrics (ICB), 535-540, 2015 | 170 | 2015 |
| Git: Graph interactive transformer for vehicle re-identification F Shen, Y Xie, J Zhu, X Zhu, H Zeng IEEE Transactions on Image Processing 32, 1039-1051, 2023 | 151 | 2023 |
| Pedestrian attribute classification in surveillance: Database and evaluation J Zhu, S Liao, Z Lei, D Yi, S Li Proceedings of the IEEE international conference on computer vision …, 2013 | 137 | 2013 |
| Exploring spatial significance via hybrid pyramidal graph network for vehicle re-identification F Shen, J Zhu, X Zhu, Y Xie, J Huang IEEE Transactions on Intelligent Transportation Systems 23 (7), 8793-8804, 2021 | 130 | 2021 |
| Multi-label convolutional neural network based pedestrian attribute classification J Zhu, S Liao, Z Lei, SZ Li Image and Vision Computing 58, 224-229, 2017 | 129 | 2017 |
| Multiple improved residual networks for medical image super-resolution D Qiu, L Zheng, J Zhu, D Huang Future Generation Computer Systems 116, 200-208, 2021 | 115 | 2021 |
| Deep hybrid similarity learning for person re-identification J Zhu, H Zeng, S Liao, Z Lei, C Cai, L Zheng IEEE Transactions on Circuits and Systems for Video Technology 28 (11), 3183 …, 2017 | 104 | 2017 |
| Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning D Qiu, S Zhang, Y Liu, J Zhu, L Zheng Computer methods and programs in biomedicine 187, 105059, 2020 | 101 | 2020 |
| DCAM-Net: A rapid detection network for strip steel surface defects based on deformable convolution and attention mechanism H Chen, Y Du, Y Fu, J Zhu, H Zeng IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2023 | 94 | 2023 |
| Screen content image quality assessment using multi-scale difference of Gaussian Y Fu, H Zeng, L Ma, Z Ni, J Zhu, KK Ma IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2428-2432, 2018 | 81 | 2018 |
| A benign and malignant breast tumor classification method via efficiently combining texture and morphological features on ultrasound images M Wei, Y Du, X Wu, Q Su, J Zhu, L Zheng, G Lv, J Zhuang Computational and mathematical methods in medicine 2020 (1), 5894010, 2020 | 74 | 2020 |
| HOG-assisted deep feature learning for pedestrian gender recognition L Cai, J Zhu, H Zeng, J Chen, C Cai, KK Ma Journal of the Franklin Institute 355 (4), 1991-2008, 2018 | 59 | 2018 |
| A light field image quality assessment model based on symmetry and depth features Y Tian, H Zeng, J Hou, J Chen, J Zhu, KK Ma IEEE Transactions on Circuits and Systems for Video Technology 31 (5), 2046-2050, 2020 | 56 | 2020 |
| Open-set person re-identification S Liao, Z Mo, J Zhu, Y Hu, SZ Li arXiv preprint arXiv:1408.0872, 2014 | 56 | 2014 |
| A multi-order derivative feature-based quality assessment model for light field image Y Tian, H Zeng, L Xing, J Chen, J Zhu, KK Ma Journal of Visual Communication and Image Representation 57, 212-217, 2018 | 53 | 2018 |
| Joint feature and similarity deep learning for vehicle re-identification J Zhu, H Zeng, Y Du, Z Lei, L Zheng, C Cai IEEE Access 6, 43724-43731, 2018 | 49 | 2018 |
| An efficient multiresolution network for vehicle reidentification F Shen, J Zhu, X Zhu, J Huang, H Zeng, Z Lei, C Cai IEEE Internet of Things Journal 9 (11), 9049-9059, 2021 | 47 | 2021 |
| A shortly and densely connected convolutional neural network for vehicle re-identification J Zhu, H Zeng, Z Lei, S Liao, L Zheng, C Cai 2018 24th International Conference on Pattern Recognition (ICPR), 3285-3290, 2018 | 42 | 2018 |
| Multi-label learning with multi-label smoothing regularization for vehicle re-identification J Hou, H Zeng, L Cai, J Zhu, J Chen, KK Ma Neurocomputing 345, 15-22, 2019 | 41 | 2019 |
Canhui Cai中国华侨大学Preverjeni e-poštni naslov na hqu.edu.cn
