| Face verification using gaborwavelets and adaboost M Zhou, H Wei 18th International Conference on Pattern Recognition (ICPR'06) 1, 404-407, 2006 | 131 | 2006 |
| BERT-hLSTMs: BERT and hierarchical LSTMs for visual storytelling J Su, Q Dai, F Guerin, M Zhou Computer speech & language 67, 101169, 2021 | 29 | 2021 |
| Iterative color-depth MST cost aggregation for stereo matching P Yao, H Zhang, Y Xue, M Zhou, G Xu, Z Gao 2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016 | 22 | 2016 |
| Gabor wavelets and AdaBoost in feature selection for face verification M Zhou, H Wei, S Maybank Proceedings of the Workshop on Applications of Computer Visions, 101-109, 2006 | 19 | 2006 |
| Semantic image segmentation with fused CNN features H Geng, H Zhang, Y Xue, M Zhou, G Xu, Z Gao Optoelectronics Letters 13 (5), 381-385, 2017 | 14 | 2017 |
| Segment-tree based cost aggregation for stereo matching with enhanced segmentation advantage P Yao, H Zhang, Y Xue, M Zhou, G Xu, Z Gao, S Chen 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 10 | 2017 |
| Face dataset augmentation with generative adversarial network K Cong, M Zhou Journal of Physics: Conference Series 2218 (1), 012035, 2022 | 6 | 2022 |
| Facial feature extraction and selection by Gabor wavelets and boosting M Zhou, H Wei 2009 2nd International Congress on Image and Signal Processing, 1-5, 2009 | 6 | 2009 |
| A new multi-scale image semantic understanding method based on deep learning YF Jiang, H Zhang, YB Xue, M Zhou, GP Xu, Z Gao Guangdianzi Jiguang/Journal of Optoelectronics Laser 27 (2), 224-230, 2016 | 4 | 2016 |
| Multi-class adaboost learning of facial feature selection through grid computing M Zhou, H Wei, I Bland, A Worrall, D Spence, X Wang, P Wen, F Liu 2010 IEEE 9th International Conference on Cyberntic Intelligent Systems, 1-6, 2010 | 4 | 2010 |
| Constructing weak learner and performance evaluation in AdaBoost M Zhou, H Wei 2009 International Conference on Computational Intelligence and Software …, 2009 | 4 | 2009 |
| Multiple pedestrian tracking in dense crowds combined with head tracking Z Qi, M Zhou, G Zhu, Y Xue Applied Sciences 13 (1), 440, 2022 | 3 | 2022 |
| Optical clustering method for locating facial features M Zhou, X Wang Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering 40 (3), 576-580, 2011 | 3 | 2011 |
| Gabor-Boosting Face Recognition: From Machine Learning Perspective M Zhou VDM Verlag, 2009 | 3 | 2009 |
| Gobor-boosting face recognition M Zhou The University of Reading, 2008 | 3 | 2008 |
| SCREAM: Knowledge sharing and compact representation for class incremental learning Z Feng, M Zhou, Z Gao, A Stefanidis, Z Sui Information Processing & Management 61 (3), 103629, 2024 | 2 | 2024 |
| Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling J Su, C Lin, M Zhou, Q Dai, H Lv arXiv preprint arXiv:2012.01295, 2020 | 2 | 2020 |
| Human facial feature localisation by gabor filter and clustering M Zhou, H Wei, X Wang, P Wen, F Liu 2010 Second International Conference on Intelligent Human-Machine Systems …, 2010 | 2 | 2010 |
| Adaptive knowledge transfer for class incremental learning Z Feng, M Zhou, Z Gao, A Stefanidis, J Su, K Dang, C Li Pattern Recognition Letters 183, 165-171, 2024 | 1 | 2024 |
| Language-Led Visual Grounding and Future Possibilities Z Sui, M Zhou, Z Feng, A Stefanidis, N Jiang Electronics 12 (14), 3142, 2023 | 1 | 2023 |