ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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MQ-PF: Deep Neural Networks

Session Type: Poster
Time: Monday, September 18, 16:30 - 18:00
Location: Poster Area F
Session Chair: Sanghoon Lee, Yonsei University
 
  MQ-PF.1: BEE POSE ESTIMATION FROM SINGLE IMAGES WITH CONVOLUTIONAL NEURAL NETWORK
         Le Duan; University of Konstanz
         Minmin Shen; University of Konstanz
         Wenjing Gao; Institute of High Performance Computing
         Song Cui; Institute of High Performance Computing
         Oliver Deussen; University of Konstanz
 
  MQ-PF.2: SEMI-SUPERVISED DOMAIN ADAPTATION VIA CONVOLUTIONAL NEURAL NETWORK
         Pengcheng Liu; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
         Cheng Cheng; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
         Youji Feng; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
         Xiaohu Shao; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
         Xiangdong Zhou; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
 
  MQ-PF.3: DIVERSITY ENCOURAGING ENSEMBLE OF CONVOLUTIONAL NETWORKS FOR HIGH PERFORMANCE ACTION RECOGNITION
         Hao Yang; CAS Center for Excellence in Brain Science and Intelligence Technology National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Chunfeng Yuan; CAS Center for Excellence in Brain Science and Intelligence Technology National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Junliang Xing; CAS Center for Excellence in Brain Science and Intelligence Technology National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Weiming Hu; CAS Center for Excellence in Brain Science and Intelligence Technology National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
 
  MQ-PF.4: CONTRASTIVE-CENTER LOSS FOR DEEP NEURAL NETWORKS
         Ce Qi; Beijing University of Posts and Telecommunications
         Fei Su; Beijing University of Posts and Telecommunications
 
  MQ-PF.5: THE WITS INTELLIGENT TEACHING SYSTEM: DETECTING STUDENT ENGAGEMENT DURING LECTURES USING CONVOLUTIONAL NEURAL NETWORKS
         Richard Klein; University of the Witwatersrand
         Turgay Celik; University of the Witwatersrand
 
  MQ-PF.6: REGION-AWARE SCATTERING CONVOLUTION NETWORKS FOR FACIAL BEAUTY PREDICTION
         Lingyu Liang; South China University of Technology
         Duorui Xie; South China University of Technology
         Lianwen Jin; South China University of Technology
         Jie Xu; South China University of Technology
         Mengru Li; South China University of Technology
         Luojun Lin; South China University of Technology
 
  MQ-PF.7: A CNN-LSTM FRAMEWORK FOR AUTHORSHIP CLASSIFICATION OF PAINTINGS
         Kevin Alfianto Jangtjik; National Taiwan University of Science and Technology
         Trang-Thi Ho; National Taiwan University of Science and Technology
         Mei-Chen Yeh; National Taiwan Normal University
         Kai-Lung Hua; National Taiwan University of Science and Technology
 
  MQ-PF.8: HUMAN ACTION RECOGNITION BY FUSING DEEP FEATURES WITH GLOBALITY LOCALITY PRESERVING CANONICAL CORRELATION ANALYSIS
         Nour El Din Elmadany; Ryerson University
         Yifeng He; Ryerson University
         Ling Guan; Ryerson University
 
  MQ-PF.9: FAST AND ACCURATE IMAGE RECOGNITION USING DEEPLY-FUSED BRANCHY NETWORKS
         Mou-Yue Huang; National Chiao Tung University
         Ching-Hao Lai; Industrial Technology Research Institute
         Sin-Horng Chen; National Chiao Tung University
 
  MQ-PF.10: RESIDUAL NETWORKS OF RESIDUAL NETWORKS: MULTILEVEL RESIDUAL NETWORKS
         Ke Zhang; North China Electric Power University
         Miao Sun; University of Missouri
         Tony X. Han; University of Missouri
         Xingfang Yuan; University of Missouri
         Liru Guo; North China Electric Power University
         Tao Liu; North China Electric Power University