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
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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