Object Detection Based on Several Samples with Trained Hough Spaces. - Pei Xu; Mao Ye 001; Min Fu; Xudong Li 001 (CCPR, 2012)

Motion detection via a couple of auto-encoder networks. - Pei Xu; Mao Ye 001; Qihe Liu; Xudong Li 001; Lishen Pei; Jian Ding (ICME, 2014)

Fast crowd density estimation with convolutional neural networks. - Min Fu; Pei Xu; Xudong Li 001; Qihe Liu; Mao Ye 001; Ce Zhu (Eng. Appl. Artif. Intell., 2015)

Memory-based Gait Recognition. - Dan Liu; Mao Ye 001; Xudong Li 001; Feng Zhang; Lan Lin (BMVC, 2016)

Memory-based object detection in surveillance scenes. - Xudong Li 001; Mao Ye 001; Dan Liu; Feng Zhang; Song Tang 001 (ICME, 2016)

Discriminative boosted forest with convolutional neural network-based patch descriptor for object detection. - Tao Xiang 006; Tao Li; Mao Ye 001; Xudong Li 001 (J. Electronic Imaging, 2016)

Memory-based pedestrian detection through sequence learning. - Xudong Li 001; Mao Ye 001; Yiguang Liu; Ce Zhu (ICME, 2017)

Person Re-Identification by Optimally Organizing Multiple Similarity Measures. - Lan Lin; Renjie Huang; Xudong Li 001; Feng Zhang; Mao Ye 001 (IEEE Access, 2017)

Accurate object detection using memory-based models in surveillance scenes. - Xudong Li 001; Mao Ye 001; Yiguang Liu; Feng Zhang; Dan Liu; Song Tang 001 (Pattern Recognit., 2017)

Real-time multi-class object detection using two-dimensional index. - Yumin Dou; Pei Xu; Mao Ye 001; Xue Li 001; Lishen Pei; Xudong Li 001 (J. Real Time Image Process., 2019)

Adaptive pedestrian detection by predicting classifier. - Song Tang 001; Mao Ye 001; Pei Xu; Xudong Li 001 (Neural Comput. Appl., 2019)

Adaptive Deep Convolutional Neural Networks for Scene-Specific Object Detection. - Xudong Li 001; Mao Ye 001; Yiguang Liu; Ce Zhu (IEEE Trans. Circuits Syst. Video Technol., 2019)

Using Generative Adversarial Networks for Network Intrusion Detection. - Xudong Li 001; Di Lin 001; Yu Tang 017; Weiwei Wu; Zijian Li 012; Bo Chen (6GN, 2021)