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

Session Type: Poster
Time: Wednesday, September 20, 10:30 - 12:00
Location: Poster Area F
Session Chair: Matthew Kyan, York University
 
  WA-PF.1: LEARNING AUTOENCODERS WITH LOW-RANK WEIGHTS
         Kavya Gupta; TCS
         Angshul Majumdar; Indraprastha Institute of Information Technology Delhi
 
  WA-PF.2: MULTI-SCALE 3D DEEP CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Mingyi He; Northwestern Polytechnical University
         Bo Li; Northwestern Polytechnical University
         Huahui Chen; Northwestern Polytechnical University
 
  WA-PF.3: LANDMARK BASED HEAD POSE ESTIMATION BENCHMARK AND METHOD
         Philipp Werner; University of Magdeburg
         Frerk Saxen; University of Magdeburg
         Ayoub Al-Hamadi; University of Magdeburg
 
  WA-PF.4: RETRAIN-FREE FULLY CONNECTED LAYER OPTIMIZATION USING MATRIX FACTORIZATION
         Yi Sun; Hong Kong Applied Science and Technology Research Institute (ASTRI)
         Xuejiao Liu; Hong Kong Applied Science and Technology Research Institute (ASTRI)
         Luhong Liang; Hong Kong Applied Science and Technology Research Institute (ASTRI)
 
  WA-PF.5: CONVOLUTIONAL NEURAL NETWORKS AND TRAINING STRATEGIES FOR SKIN DETECTION
         Yoonsik Kim; Seoul National University
         Insung Hwang; Seoul National University
         Nam Ik Cho; Seoul National University
 
  WA-PF.6: HYPER-PARAMETER OPTIMIZATION FOR CONVOLUTIONAL NEURAL NETWORK COMMITTEES BASED ON EVOLUTIONARY ALGORITHMS
         Erik Bochinski; Technische Universität Berlin
         Tobias Senst; Technische Universität Berlin
         Thomas Sikora; Technische Universität Berlin
 
  WA-PF.7: TOWARDS 3D CONVOLUTIONAL NEURAL NETWORKS WITH MESHES
         Miguel Dominguez; Rochester Institute of Technology
         Felipe Petroski Such; Rochester Institute of Technology
         Shagan Sah; Rochester Institute of Technology
         Raymond Ptucha; Rochester Institute of Technology
 
  WA-PF.8: DEEP ACTIVE LEARNING FOR IMAGE CLASSIFICATION
         Hiranmayi Ranganathan; Arizona State University
         Hemanth Venkateswara; Arizona State University
         Shayok Chakraborty; Arizona State University
         Panchanathan Sethuraman; Arizona State University
 
  WA-PF.9: TOWARDS THINNER CONVOLUTIONAL NEURAL NETWORKS THROUGH GRADUALLY GLOBAL PRUNING
         Zhengtao Wang; University of Electronic Science and Technology of China
         Ce Zhu; University of Electronic Science and Technology of China
         Zhiqiang Xia; University of Electronic Science and Technology of China
         Qi Guo; University of Electronic Science and Technology of China
         Yipeng Liu; University of Electronic Science and Technology of China
 
  WA-PF.10: COMPUTED TOMOGRAPHY SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS
         Haichao Yu; Beckman Institute, University of Illinois at Urbana-Champaign
         Ding Liu; Beckman Institute, University of Illinois at Urbana-Champaign
         Honghui Shi; Beckman Institute, University of Illinois at Urbana-Champaign
         Hanchao Yu; Beckman Institute, University of Illinois at Urbana-Champaign
         Zhangyang Wang; Texas A&M University
         Xinchao Wang; Beckman Institute, University of Illinois at Urbana-Champaign
         Brent Cross; Jump Trading Simulation and Education Center
         Matthew Bramlet; Jump Trading Simulation and Education Center
         Thomas Huang; Beckman Institute, University of Illinois at Urbana-Champaign
 
  WA-PF.11: IMAGE-BASED AIR QUALITY ANALYSIS USING DEEP CONVOLUTIONAL NEURAL NETWORK
         Avijoy Chakma; Lamar University
         Ben Vizena; Lamar University
         Tingting Cao; Lamar University
         Jerry Lin; Lamar University
         Jing Zhang; Lamar University
 
  WA-PF.12: BETTER THAN REAL: COMPLEX-VALUED NEURAL NETS FOR MRI FINGERPRINTING
         Patrick Virtue; University of California, Berkeley
         Stella X. Yu; University of California, Berkeley / International Computer Science Institute
         Michael Lustig; University of California, Berkeley