| I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection H Zhu, P Li, H Xie, X Yan, D Liang, D Chen, M Wei, J Qin Thirty-Sixth AAAI Conference on Artificial Intelligence（AAAI）2022, 2022 | 133 | 2022 |
| Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified sparse representation classification X Zhao, Z He, S Zhang, D Liang Pattern Recognition 48 (6), 1947-1960, 2015 | 92 | 2015 |
| Semantically Contrastive Learning for Low-light Image Enhancement D Liang, L Li, M Wei, S Yang, L Zhang, W Yang, Y Du, H Zhou Thirty-Sixth AAAI Conference on Artificial Intelligence（AAAI）2022 （arXiv …, 2022 | 86 | 2022 |
| Co-occurrence probability-based pixel pairs background model for robust object detection in dynamic scenes D Liang, M Hashimoto, K Iwata, X Zhao Pattern Recognition 48 (4), 1374-1390, 2015 | 79 | 2015 |
| TIB-Net: Drone detection network with tiny iterative backbone H Sun, J Yang, J Shen, D Liang, L Ning-Zhong, H Zhou Ieee Access 8, 130697-130707, 2020 | 51 | 2020 |
| A sparse-representation-based robust inspection system for hidden defects classification in casting components X Zhao, Z He, S Zhang, D Liang Neurocomputing 153, 1-10, 2015 | 48 | 2015 |
| Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images D Liang, Q Geng, Z Wei, DA Vorontsov, EL Kim, M Wei, H Zhou IEEE Transactions on Geoscience and Remote Sensing, 2022 | 47 | 2022 |
| Learning rules in spiking neural networks: A survey Z Yi, J Lian, Q Liu, H Zhu, D Liang, J Liu Neurocomputing 531, 163-179, 2023 | 45 | 2023 |
| Learning calibrated-guidance for object detection in aerial images Z Wei, D Liang, D Zhang, L Zhang, Q Geng, M Wei, H Zhou IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 36 | 2022 |
| Design optimization of large-mode-area all-solid photonic bandgap fibers for high-power laser applications S Saitoh, K Saitoh, M Kashiwagi, S Matsuo, L Dong Journal of lightwave technology 32 (3), 440-449, 2013 | 31 | 2013 |
| Foreground detection based on co-occurrence background model with hypothesis on degradation modification in dynamic scenes W Zhou, S Kaneko, M Hashimoto, Y Satoh, D Liang Signal Processing 160, 66-79, 2019 | 24 | 2019 |
| Active terahertz imaging dataset for concealed object detection D Liang, F Xue, L Li arXiv preprint arXiv:2105.03677, 2021 | 22 | 2021 |
| Robust visual tracking via nonlocal regularized multi-view sparse representation B Kang, WP Zhu, D Liang, M Chen Pattern Recognition 88, 75-89, 2019 | 22 | 2019 |
| Concealed object segmentation in terahertz imaging via adversarial learning D Liang, J Pan, Y Yu, H Zhou International Journal for Light and Electron Optics (Optik) 185, 1104-1114, 2019 | 20 | 2019 |
| Spatio-temporal attention model for foreground detection in cross-scene surveillance videos D Liang, J Pan, H Sun, H Zhou Sensors 19 (23), 5142, 2019 | 19 | 2019 |
| MBA-RainGAN: A multi-branch attention generative adversarial network for mixture of rain removal Y Shen, Y Feng, W Wang, D Liang, J Qin, H Xie, M Wei ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 18* | 2022 |
| Improvements and experiments of a compact statistical background model D Liang, S Kaneko arXiv preprint arXiv:1405.6275, 2014 | 18 | 2014 |
| Cross-scene foreground segmentation with supervised and unsupervised model communication D Liang, B Kang, X Liu, P Gao, X Tan, S Kaneko Pattern Recognition 117, 107995, 2021 | 17 | 2021 |
| Grayscale-thermal tracking via inverse sparse representation-based collaborative encoding B Kang, D Liang, W Ding, H Zhou, WP Zhu IEEE Transactions on Image Processing 29, 3401-3415, 2019 | 16 | 2019 |
| Robust multi‐feature visual tracking via multi‐task kernel‐based sparse learning B Kang, WP Zhu, D Liang IET Image Processing 11 (12), 1172-1178, 2017 | 16 | 2017 |
Huiyu ZhouProfessor of Machine Learning, University of Leicester, UKVerifierad e-postadress på leicester.ac.uk
