| Dssl: Deep surroundings-person separation learning for text-based person retrieval A Zhu, Z Wang, Y Li, X Wan, J Jin, T Wang, F Hu, G Hua Proceedings of the 29th ACM international conference on multimedia, 209-217, 2021 | 150 | 2021 |
| Caibc: Capturing all-round information beyond color for text-based person retrieval Z Wang, A Zhu, J Xue, X Wan, C Liu, T Wang, Y Li Proceedings of the 30th ACM international conference on multimedia, 5314-5322, 2022 | 77 | 2022 |
| Look before you leap: Improving text-based person retrieval by learning a consistent cross-modal common manifold Z Wang, A Zhu, J Xue, X Wan, C Liu, T Wang, Y Li Proceedings of the 30th ACM international conference on multimedia, 1984-1992, 2022 | 71 | 2022 |
| Exploring a rich spatial–temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN A Zhu, Q Wu, R Cui, T Wang, W Hang, G Hua, H Snoussi Neurocomputing 414, 90-100, 2020 | 69 | 2020 |
| Abnormal event detection via covariance matrix for optical flow based feature T Wang, M Qiao, A Zhu, Y Niu, C Li, H Snoussi Multimedia Tools and Applications 77, 17375-17395, 2018 | 57 | 2018 |
| IMG-Net: inner-cross-modal attentional multigranular network for description-based person re-identification Z Wang, A Zhu, Z Zheng, J Jin, Z Xue, G Hua Journal of Electronic Imaging 29 (4), 043028-043028, 2020 | 37 | 2020 |
| SUM: Serialized Updating and Matching for text-based person retrieval Z Wang, A Zhu, J Xue, D Jiang, C Liu, Y Li, F Hu Knowledge-Based Systems 248, 108891, 2022 | 34 | 2022 |
| Synchronous spatiotemporal graph transformer: A new framework for traffic data prediction T Wang, J Chen, J Lü, K Liu, A Zhu, H Snoussi, B Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10589-10599, 2022 | 34 | 2022 |
| Exposing image resampling forgery by using linear parametric model T Qiao, A Zhu, F Retraint Multimedia Tools and Applications 77, 1501-1523, 2018 | 31 | 2018 |
| Abnormal event detection via the analysis of multi-frame optical flow information T Wang, M Qiao, A Zhu, G Shan, H Snoussi Frontiers of Computer Science 14, 304-313, 2020 | 29 | 2020 |
| Wi-ATCN: Attentional temporal convolutional network for human action prediction using WiFi channel state information A Zhu, Z Tang, Z Wang, Y Zhou, S Chen, F Hu, Y Li IEEE Journal of Selected Topics in Signal Processing 16 (4), 804-816, 2022 | 22 | 2022 |
| Pose-Guided Inflated 3D ConvNet for action recognition in videos Q Wu, A Zhu, R Cui, T Wang, F Hu, Y Bao, H Snoussi Signal Processing: Image Communication 91, 116098, 2021 | 22 | 2021 |
| Amen: Adversarial multi-space embedding network for text-based person re-identification Z Wang, J Xue, A Zhu, Y Li, M Zhang, C Zhong Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | 22 | 2021 |
| CACrowdGAN: Cascaded attentional generative adversarial network for crowd counting A Zhu, Z Zheng, Y Huang, T Wang, J Jin, F Hu, G Hua, H Snoussi IEEE Transactions on Intelligent Transportation Systems 23 (7), 8090-8102, 2021 | 21 | 2021 |
| Multi-stream and enhanced spatial-temporal graph convolution network for skeleton-based action recognition F Li, A Zhu, Y Xu, R Cui, G Hua IEEE Access 8, 97757-97770, 2020 | 21 | 2020 |
| Hard sample mining and learning for skeleton-based human action recognition and identification R Cui, G Hua, A Zhu, J Wu, H Liu IEEE Access 7, 8245-8257, 2018 | 21 | 2018 |
| Deep-Learning-Based End-to-End Predictions of CO2 Capture in Metal–Organic Frameworks C Lu, X Wan, X Ma, X Guan, A Zhu Journal of Chemical Information and Modeling 62 (14), 3281-3290, 2022 | 19 | 2022 |
| Recapnet: Action proposal generation mimicking human cognitive process T Wang, Y Chen, Z Lin, A Zhu, Y Li, H Snoussi, H Wang IEEE transactions on cybernetics 51 (12), 6017-6028, 2020 | 18 | 2020 |
| Human pose estimation with multiple mixture parts model based on upper body categories A Zhu, H Snoussi, T Wang, A Cherouat Journal of Electronic Imaging 24 (4), 043021-043021, 2015 | 17 | 2015 |
| Multi-source learning for skeleton-based action recognition using deep LSTM networks R Cui, A Zhu, S Zhang, G Hua 2018 24th International Conference on Pattern Recognition (ICPR), 547-552, 2018 | 16 | 2018 |
