Object Detection Based on Several Samples with Trained Hough Spaces. - Pei Xu 009; Mao Ye 001; Min Fu; Xudong Li 001 (CCPR, 2012)

Multi-class action recognition based on inverted index of action states. - Lishen Pei; Mao Ye 001; Pei Xu 009; Xuezhuan Zhao; Tao Li (ICIP, 2013)

Motion detection via a couple of auto-encoder networks. - Pei Xu 009; Mao Ye 001; Qihe Liu; Xudong Li 001; Lishen Pei; Jian Ding (ICME, 2014)

Dynamic Background Learning through Deep Auto-encoder Networks. - Pei Xu 009; Mao Ye 001; Xue Li 001; Qihe Liu; Yi Yang 001; Jian Ding (ACM Multimedia, 2014)

One example based action detection in hough space. - Lishen Pei; Mao Ye 001; Pei Xu 009; Xuezhuan Zhao; Guanjun Guo (Multim. Tools Appl., 2014)

Fast crowd density estimation with convolutional neural networks. - Min Fu; Pei Xu 009; Xudong Li 001; Qihe Liu; Mao Ye 001; Ce Zhu (Eng. Appl. Artif. Intell., 2015)

Fast multi-class action recognition by querying inverted index tables. - Lishen Pei; Mao Ye 001; Pei Xu 009; Tao Li (Multim. Tools Appl., 2015)

Learning to pool high-level features for face representation. - Renjie Huang; Mao Ye 001; Pei Xu 009; Tao Li; Yumin Dou (Vis. Comput., 2015)

Real-time multi-class object detection using two-dimensional index. - Yumin Dou; Pei Xu 009; 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 009; Xudong Li 001 (Neural Comput. Appl., 2019)