Optical flow and scene flow estimation: A survey M Zhai, X Xiang, N Lv, X Kong Pattern Recognition 114, 107861, 2021 | 143 | 2021 |
Pavement crack detection network based on pyramid structure and attention mechanism X Xiang, Y Zhang, A El Saddik IET Image Processing 14 (8), 1580-1586, 2020 | 71 | 2020 |
Vehicle counting based on vehicle detection and tracking from aerial videos X Xiang, M Zhai, N Lv, A El Saddik Sensors 18 (8), 2560, 2018 | 61 | 2018 |
Engineering vehicles detection based on modified faster R-CNN for power grid surveillance X Xiang, N Lv, X Guo, S Wang, A El Saddik Sensors 18 (7), 2258, 2018 | 52 | 2018 |
Real-time parking occupancy detection for gas stations based on Haar-AdaBoosting and CNN X Xiang, N Lv, M Zhai, A El Saddik IEEE Sensors Journal 17 (19), 6360-6367, 2017 | 51 | 2017 |
An improved YOLOv5 crack detection method combined with transformer X Xiang, Z Wang, Y Qiao IEEE Sensors Journal 22 (14), 14328-14335, 2022 | 48 | 2022 |
Cross-modality person re-identification based on dual-path multi-branch network X Xiang, N Lv, Z Yu, M Zhai, A El Saddik IEEE Sensors Journal 19 (23), 11706-11713, 2019 | 44 | 2019 |
Optical flow estimation using dual self-attention pyramid networks M Zhai, X Xiang, R Zhang, N Lv, A El Saddik IEEE Transactions on Circuits and Systems for Video Technology 30 (10), 3663 …, 2019 | 39 | 2019 |
Scene flow estimation: A survey Z Yan, X Xiang arXiv preprint arXiv:1612.02590, 2016 | 33 | 2016 |
Video event classification based on two-stage neural network L Zhang, X Xiang Multimedia Tools and Applications 79 (29), 21471-21486, 2020 | 29 | 2020 |
Optical flow estimation using channel attention mechanism and dilated convolutional neural networks M Zhai, X Xiang, R Zhang, N Lv, A El Saddik Neurocomputing 368, 124-132, 2019 | 27 | 2019 |
Deep Optical Flow Supervised Learning with Prior Assumptions AES Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang IEEE Access, 2018 | 19 | 2018 |
Learning optical flow using deep dilated residual networks M Zhai, X Xiang, R Zhang, N Lv, A El Saddik IEEE Access 7, 22566-22578, 2019 | 17 | 2019 |
Realistic human action recognition: When cnns meet lds L Zhang, Y Feng, X Xiang, X Zhen 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 16 | 2017 |
FCDNet: a change detection network based on full-scale skip connections and coordinate attention X Xiang, D Tian, N Lv, Q Yan IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 15 | 2022 |
Towards optimal VLAD for human action recognition from still images L Zhang, C Li, P Peng, X Xiang, J Song Image and Vision Computing 55, 53-63, 2016 | 13 | 2016 |
Attention-based generative adversarial network for semi-supervised image classification X Xiang, Z Yu, N Lv, X Kong, AE Saddik Neural Processing Letters 51, 1527-1540, 2020 | 10 | 2020 |
Vehicle detection and tracking for gas station surveillance based on AdaBoosting and optical flow X Xiang, W Bao, H Tang, J Li, Y Wei 2016 12th World Congress on Intelligent Control and Automation (WCICA), 818-821, 2016 | 10 | 2016 |
Engineering vehicles detection for warehouse surveillance system based on modified yolov4-tiny X Xiang, F Meng, N Lv, H Yin Neural Processing Letters 55 (3), 2743-2759, 2023 | 9 | 2023 |
Ad-net: attention guided network for optical flow estimation using dilated convolution M Zhai, X Xiang, R Zhang, N Lv, A El Saddik ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 9 | 2019 |