QIAO Yu

教育及工作经历 

I had been a project assistant professor in Graduate School of Information Science and Technology , The University of Tokyo, Japan. I received the Bachelor Eng. in Automation and Master Eng. degree in Control Theory and Engineering from Chongqing University in 2000 and 2003, respectively. I received the Ph.D from the University of Electro-Communications , Tokyo, Japan. 

研究领域 

My research interests include Computer Vision, Deep Learning，Pattern Recognition, Speech Processing, Robotics etc. Recently, we focuses on develop novel deep learning techniques for action recognition, scene understanding, facial analysis and recognition, object detection with applications in surveillance, robotics and human-machine interface. Our ultimate goal is to enable machine to perceive and understand complex visual scenes like human. 

代表性论文 

·  Xixuan Wu, Yu Qiao , Xiaogang Wang, Xiaoou Tang, "Bridging Music and Image via Cross-modal Ranking Analysis," IEEE Trans. on Multimedia (TMM), VOL. 18, NO. 7, pp. 1308-1315, 2016 

·  Xiaojiang Peng, Limin Wang; Xingxing Wang, Yu Qiao , "Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice," Computer Vision and Image Understanding (CVIU), Vol. 150, pp. 109-125, September, 2016 

·  Tong He, Weilin Huang, Yu Qiao , Jian Yao, " Text-Attentional Convolutional Neural Networks for Scene Text Detection," IEEE Trans. on Image Processing (TIP), vol.25, pp.2529-2541, 2016. 

·  Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Yu Qiao , " Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks," IEEE Signal Processing Letter (SPL), Vol. 23, No. 10, pp. 1499-1503, 2016 

·  Yongqiang Gao, Zhifeng Li, Yu Qiao , "An Adaptive Transfer Learning Model for Gender Classification", IEEE Signal Processing Letter, VOL. 23, NO. 6, pp.888-892, 2016 

·  Limin Wang, Yu Qiao , Xiaoou Tang, "MoFAP: A Multi-level Representation for Action Recognition," International Journal of Computer Vision (IJCV), Vol.119, NO 3, pp 254-271, 2016 

·  Xixuan Wu, Yu Qiao , Xiaogang Wang, Xiaoou Tang, "Bridging Music and Image via Cross-modal Ranking Analysis," IEEE Trans. on Multimedia (TMM), VOL. 18, NO. 7, pp. 1308-1315, 2016 

·  Xiaojiang Peng, Limin Wang; Xingxing Wang, Yu Qiao , "Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice," Computer Vision and Image Understanding (CVIU), Vol. 150, pp. 109-125, September, 2016 

·  Tong He, Weilin Huang, Yu Qiao , Jian Yao, " Text-Attentional Convolutional Neural Networks for Scene Text Detection," IEEE Trans. on Image Processing (TIP), vol.25, pp.2529-2541, 2016. 

·  Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Yu Qiao , " Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks," IEEE Signal Processing Letter (SPL), Vol. 23, No. 10, pp. 1499-1503, 2016 

·  Yongqiang Gao, Zhifeng Li, Yu Qiao , "An Adaptive Transfer Learning Model for Gender Classification", IEEE Signal Processing Letter, VOL. 23, NO. 6, pp.888-892, 2016 

·  Limin Wang, Yu Qiao , Xiaoou Tang, "MoFAP: A Multi-level Representation for Action Recognition," International Journal of Computer Vision (IJCV), Vol.119, NO 3, pp 254-271, 2016 

·  Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao, "A Discriminative Feature Learning Approach for Deep Face Recognition," Proc. European Conference Computer Vision ( ECCV), 2016 

·  Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang,Luc Van Gool, "Temporal Segment Networks: Towards Good Practices for Deep Action Recognition," Proc. European Conference Computer Vision ( ECCV), 2016 

·  Zhi Tian, Weilin Huang, Tong He, Pan He, Yu Qiao, "Detecting Text in Natural Image with Connectionist Text Proposal Network," Proc. European Conference Computer Vision ( ECCV), 2016 

·  Yali Wang, Lin Li, and Yu Qiao, "Human Action Recognition with DeepAction Kernel Gaussian Process," Proc. IEEE Conference Advanced Robotics and Mechatronics ( ARM), 2016 (Best paper finalist) 

·  L. Wang, Yu Qiao, X. Tang, and L. Van Gool " Actionness Estimation Using Hybrid Fully Convolutional Networks," Proc. Int. Conf. Computer Vision and Pattern Recognition ( CVPR), 2016 

·  B. Zhang, L. Wang, Z. Wang, Yu Qiao, and H. Wang " Real-time Action Recognition with Enhanced Motion Vector CNNs," Proc. Int. Conf. Computer Vision and Pattern Recognition ( CVPR), 2016 

·  Y. Wen, Z. Li, Yu Qiao, " Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition," Proc. Int. Conf. Computer Vision and Pattern Recognition ( CVPR), 2016 

·  W. Zhu, J. Hu, G. Sun, X. Cao, Yu Qiao "A Key Volume Mining Deep Framework for Action Recognition," Proc. Int. Conf. Computer Vision and Pattern Recognition ( CVPR), 2016 

·  Kaipeng Zhang, Lianzhi Tan, Zhifeng Li, Yu Qiao "Gender and Smile Classification using Deep Convolutional Neural Networks," ChaLearn Looking at People (LAP) Workshop, CVPR, 2016. 

·  Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, Xiaoou Tang, "Reading Scene Text in Deep Convolutional Sequences," Proc. 30th AAAI Conference on Artificial Intelligence (AAAI), 2016. 

·  Zhe Wang, Yali Wang, Limin Wang, Yu Qiao, "Codebook Enhancement of VLAD representation for visual recognition," Proc. Int. Conf. Acoustics, Speech, & Signal Processing (ICASSP), 2016 

知识产权 

Displacement detection method, displacement detection device, displacement detection program, phase singularity matching method and phase singularity matching program， US7813900 

联系方式：

+86 0755 86392127 

Yu.qiao@siat.ac.cn 

http://mmlab.siat.ac.cn/yuqiao/