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Message from Director CENTER FOR RESEARCH ON INTELLIGENT PERCEPTION AND COMPUTING Message from Director The Center for Research on Intelligent Perception and Computing (CRIPAC) is an independent department at the Institute of Automation, Chinese Academy of Sciences (CASIA). With focuses on three key research platforms, namely SIR (Smart Identity Recognition), DIG (Data Intelligence Gathering) and iSEE (Intelligent Scene Exploration and Evaluation), CRIPAC Biometric Acquisition and Recognition aims to establish intelligent information processing systems that integrate the power of humans, computers and things, and to provide scientific theories, key technologies, pioneering applications and innovative talents for the era of intelligence. The past year 2015 witnessed the flourishing developments of our center. Currently, CRIPAC has an energetic team including four full professors, six associate professors or senior engineers, seven assistant professors, two post-doctoral research fellows, twenty-six technicians and sixty- two postgraduate students. The research fellows in CRIPAC all strive to be the backbone of the science and technology industry in China. Prof. Liang Wang was granted the National Science Fund for Distinguished Young Scholars and he was rated as excellent in the final assessment for CAS Hundred Talent Program, Prof. Kaiqi Huang was elected as Young top-notch talent for Ten Thousand Talent Program and excellent member of CAS Youth Innovation Promotion Association, Associate Prof. Ran He won the Second Prize of Wu Wenjun Artificial Intelligence Science and Technology Innovation Award, ACM Beijing Rising Star Award and member of CAS Youth Innovation Promotion Association, Associate Prof. Yongzhen Huang won the Tencent Rhino Bird Excellent Prize, Prof. Tieniu Tan, Prof. Liang Wang, Prof. Kaiqi Huang, Prof. Zhenan Sun, Associate Prof. Ran He and Associate Prof. Yongzhen Huang were elected as members of CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT). With regard to funding applications, CRIPAC has obtained two more grants, Vision Pattern Analysis and Understanding (National Science Fund for Distinguished Young Scholars) and Brain Functional Connection Mapping and Brain-Like Intelligence Research (CAS Advanced Research Project). CRIPAC members remained productive in 2015. Sixteen journal papers were published. The paper titled “An Adaptive Ensemble Classifier for Steganalysis Based on Dynamic Weighted Fusion” by PhD student Xikai Xu won the Best Paper Award of CSPS 2015. The paper titled “1000 Fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder” by PhD student Wei Tang won the Best student Paper Award of CCCV2015, and the paper titled “Fusion of Face and Iris Biometrics on Mobile Devices Using Near-infrared Images” by PhD student Qi Zhang won the Best Paper Award of CCBR2015. In the realm of key techniques, we have made breakthroughs in face recognition based on deep learning, iris recognition, gait recognition, action recognition, image recognition and image retrieval. When it comes to applying the latest technology, the large-scale crowd surveillance system has been successfully deployed in the frontlines of anti-terrorist and safeguard stability, face recognition system has been used in internet finance and iris recognition system has b een employed for numerous tourist sites. In terms of technology transfer and industrialization, Tianjin Academy for Intelligent Recognition Technologies (TAiFRT) was officially established in Tianjin Binhai New Area. This academy serves as the industrialization platform for research fellows in CRIPAC. TAiFRT aims to make substantial contributions to Beijing-Tianjin- Hebei integration. With respect to industry alliance, the China Biometrics Alliance (CBA) now has a total of 85 member companies. The Big Image and Video Data Alliance (BIDA) has attracted a total of 58 member companies. These alliances will build up a coordinative innovation platform for manufacturing, studying, researching and deploying, and therefore speed up the industrialization process of science and technology outputs in China. CRIPAC is always keen on establishing academic and industrial links, and is eager to collaborate with worldwide leading research institutes, companies, investigators and governments to promote the development of intelligence and its applications for the well-being of humanity. Director of Center for Research on Intelligent Perception and Computing CENTER FOR RESEARCH ON INTELLIGENT PERCEPTION AND COMPUTING Table of Contents Introduction 1 Organizational Structure 2 People 3 Faculty 3 Administrative Staff 15 Technical Staff 16 Postdoctors 17 Postgraduates 18 Research Directions 20 Biometrics 20 Image and Video Analysis 20 Big Data and Multi-modal Computing 20 Content Security and Authentication 21 Sensing and Information Acquisition 21 Research Facilities 22 Representative Research Progress 24 Overview of Current Research Projects 27 Publications 33 Awards and Recognitions 39 Professional Activities 40 Academic Exchanges and Cooperations 42 Conferences and Workshops 42 Visits 42 Research Talks by External Visitors 44 Memorabilia in 2015 45 CENTER FOR RESEARCH ON INTELLIGENT PERCEPTION AND COMPUTING Introduction The Center for Research on Intelligent Perception and Computing (CRIPAC) is affiliated to the Institute of Automation, Chinese Academy of Sciences (CAS). Focusing on the theory and technology of intelligent perception and computing, the Center aims at conducting cutting-edge research and applications, and strives to build a world-class research organization in terms of personnel training, technological innovation and technology transfer. Currently, the Center’s work mainly concerns information sensing, intelligent recognition, content security, system integration and applications. The Center currently has seventeen faculty members including one CAS academician, two CAS “Hundred Talents Program” recipients, two NSFC Distinguished Youth Fund awardee and one NSFC Excellent Youth Fund winner. These research faculty members are supported by a total of twenty eight administrative and technical staff members, and around seventy over researchers including post-doctoral research fellows, PhD and MSc students, visiting scholars and intern students. The Center has a large number of quality publications including more than 600 journal and conference papers, and more than 90 patents. CRIPAC also has won many prestigious national and international awards in recent years, including the Second Prize of the National Award for Technology Invention, the Second Prize of the National Award for Science & Technology Progress, the Second Prize of the National Award for Natural Science, the First Prize of the Beijing Science and Technology and so on. Moreover, CRIPAC achieves the best performance on several world-leading competitions, e.g., champions of object detection in PASCAL VOC 2010 and 2011, and the first place in a series of NICE competitions. 1 CENTER FOR RESEARCH ON INTELLIGENT PERCEPTION AND COMPUTING Organizational Structure Beijing Vistek Technology startup Co.,Ltd. companies Beijing IrisKing Co., Ltd. Director Deputy Director Tianjin Academy for Intelligent Chief Engineer Recognition Technologies Image and Video Analysis Group CRIPAC Biometrics Group Big Data and Multi-modal Computing Group Administration General Office Committee Chinese Biometrics Alliance (CBA) Alliances Chinese Big Image and video Data Alliance (BIDA) 2 CENTER FOR RESEARCH ON INTELLIGENT PERCEPTION AND COMPUTING People Faculty Xiaotang Chen Dr. Xiaotang Chen received the BSc degree from Xidian University in 2008. She received the PhD degree in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2013. In July 2013, Dr. Chen joined the Center for Research on Intelligent Perception and Computing (CRIPAC) as an Assistant Professor. Her major research interests include computer vision and pattern recognition. Dr. Chen is currently a member of IEEE and serves as the program committee member of several conferences. Selected Publications 1. Xiaotang Chen, Kaiqi Huang and Tieniu Tan, “Object Tracking Across Non-Overlapping Views by Learning Inter- Came ra Transfer Models,” Pattern Recognition, vol. 47, no. 3, pp. 1126-1137, 2014. 2. Xiaotang Chen, Kaiqi Huang and Tieniu Tan, “Learning the Three Factors of a Non-Overlapping Multi-Camera Network Topology,” Proc. Chinese Conference on Pattern Recognition, pp. 104-112, September 2012, Beijing, China. 3. Xiaotang Chen, Kaiqi Huang and Tieniu Tan, “Object Tracking Across Non-Overlapping Cameras Using Adaptive Models,” Proc. ACCV Workshop on Detection and Tracking in Challenging Environments, pp. 464-477, November 2012, Korea. 4. Xiaotang Chen, Kaiqi Huang and Tieniu Tan, “Direction-based Stochastic Matching for Pedestrian Recognition in Non-Overlapping Cameras,” Proc. IEEE International Conference on Image Processing, pp. 2065-2068 September 2011, Belgium. Jing Dong PhD, Associate Professor. Dr. Jing Dong received her BSc in Electronic Information Science and Technology from Central South University in 2005 and her PhD in Pattern Recognition from the Graduate University of Chinese Academy of Sciences. Since July 2010, Dr. Dong has joined the National Laboratory of Pattern Recognition (NLPR), where she is currently an Associate Professor. Her research interests include pattern recognition, image processing and digital image forensics. She has published over 30 academic papers and she is a member
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