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Yu Qiao, Professor, PhD

     Deputy Director of Multimedia Research Center, PhD supervisor
    Shenzhen Institutes of Advanced Technology
    Chinese Academy of Sciences
    Email: yu.qiao at siat.ac.cn
    Address:1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, P.R.China
    Tel: +86-755-86392127

I am a professor with Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, where I co-direct the Multimedia Research Center. I was a scholar supported by the "Hundred Talents Program" of the Chinese Academy of Sciences. I received the "Lu Jiaxi Young Researcher Award" from the Chinese Academy of Sciences in 2012.

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.

My research interests include Computer Vision, Deep LearningŁ¬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.

News

  • 2015-09: Our SIAT_MMLAB team ranks 4th in scene recognition task at ILSVRC ImageNet 2016. Thanks for the hard work of Sheng Guo, Linjie Xing and Limin Wang.
  • 2016-07: Three papers are accepted by ECCV 2016.
  • 2016-06: Our joint team with CUHK and ETH wins the 1st place for Untrimmed Video Classification at ActivityNet Challenge 2016. Congratulations to Limin Wang, Yuanjun Xiong, Zhe Wang, Bowen Zhang, and et al. [ Result ].
  • 2016-05: Our SIAT_MMLAB team wins the 1st place of both tracks for accessories classification and gender&smile classification, on ChaLearn Looking at People Challenge at CVPR 2016. Congratulations to Kaipeng Zhang and Lianzhi Tan.
  • 2016-05: Our SIAT_MMLAB team wins the 1st on Large Scale Scene Classification Task, on LSUN Challenge at CVPR 2016. Congratulations to Sheng Guo and Limin Wang.
  • 2016-03: Four papers are accepted by CVPR 2016.
  • 2015-09: Our SIAT_MMLAB team wins the 2nd place for scene recognition at ILSVRC ImageNet 2015 [ Results ]. Congratulations to Limin Wang, Sheng Guo, and Weilin Huang.
  • 2015-09: We achieves the 3rd palce for cultural event recognition on ChaLearn Looking at People challenge, at ICCV 2015. Congratulations to Zhe Wang and Limin Wang.
  • 2015-08: We achieves the 1st place in ICDAR 2015 Competition on Text Image Super-Resolution . Congratulations to Chao Dong and Ximei.
  • 2015-03: We are the 1st winner of both tracks for action recognition and cultural event recognition, on ChaLearn Looking at People Challenge at CVPR 2015.
  • Previous results.
  • ChaLearn Looking at People Challenge, 2014 , Rank: 1/6, 4/17.
  • THUMOS Action Recognition Challenge, 2014, Rank: 4/14, 2/3.
  • ChaLearn Multi-Modal Gesture Recognition Challenge, 2013 , Rank: 4/54.
  • THUMOS Action Recognition Challenge, 2013, Rank: 4/16.
  • Collaborators

    I work closely with Prof. Xiaoou Tang (CUHK) , Prof. Xiaogang Wang (CUHK) , Prof. Zhifeng Li (SIAT), Prof. Caizhi Zhu (SIAT), Dr. Weling Huang (SIAT), Dr. Limin Wang (ETH) , and Dr. Yali Wang (SIAT). I also have collaboration with Prof. Nobuaki Minematsu (the University of Tokyo).

    Open positions

    We have open positions for assistant professors, post-doctors, and visiting students, and we also have limited positions for master students and PhD students of University of Chinese Academy of Sciences. Please contact yu.qiao at siat.ac.cn for details.