ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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TA-PD: Computational Imaging II

Session Type: Poster
Time: Tuesday, September 19, 10:30 - 12:00
Location: Poster Area D
Session Chair: Brendt Wohlberg, Los Alamos National Laboratory
 
  TA-PD.1: PCA-CODED APERTURE FOR LIGHT FIELD PHOTOGRAPHY
         Yusuke Yagi; Nagoya University
         Keita Takahashi; Nagoya University
         Toshiaki Fujii; Nagoya University
         Toshiki Sonoda; Kyusyu University
         Hajime Nagahara; Osaka University
 
  TA-PD.2: HIGH ANGULAR RESOLUTION LIGHT FIELD RECONSTRUCTION WITH CODED-APERTURE MASK
         Wanxin Qu; NWPU
         Guoqing Zhou; NWPU
         Hao Zhu; NWPU
         Zhaolin Xiao; XAUT
         Qing Wang; NWPU
         Vidal Rene; JHU
 
  TA-PD.3: GENERATING ADAPTIVE AND ROBUST FILTER SETS USING AN UNSUPERVISED LEARNING FRAMEWORK
         Mohit Prabhushankar; Georgia Institute of Technology
         Dogancan Temel; Georgia Institute of Technology
         Ghassan AlRegib; Georgia Institute of Technology
 
  TA-PD.4: TENSOR NON-LOCAL LOW-RANK REGULARIZATION FOR RECOVERING COMPRESSED HYPERSPECTRAL IMAGES
         Yongqiang Zhao; Northwestern Polytechnical University
         Jize Xue; Northwestern Polytechnical University
         Jinglei Hao; Northwestern Polytechnical University
 
  TA-PD.5: FILLING THE GAPS: REDUCING THE COMPLEXITY OF NETWORKS FOR MULTI-ATTRIBUTE IMAGE AESTHETIC PREDICTION
         Magzhan Kairanbay; Multimedia University
         John See; Multimedia University
         Lai-Kuan Wong; Multimedia University
         Yong-Lian Hii; Multimedia University
 
  TA-PD.6: LEARNING THE WEIGHT MATRIX FOR SPARSITY AVERAGING IN COMPRESSIVE IMAGING
         Dimitris Perdios; Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Adrien Besson; Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Philippe Rossinelli; Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Jean-Philippe Thiran; Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
  TA-PD.7: COMPRESSED SENSING MRI USING TOTAL VARIATION REGULARIZATION WITH K-SPACE DECOMPOSITION
         Liyan Sun; Xiamen University
         Yue Huang; Xiamen University
         Congbo Cai; Xiamen University
         Xinghao Ding; Xiamen University
 
  TA-PD.8: UNSUPERVISED DOMAIN ADAPTATION WITH JOINT SUPERVISED SPARSE CODING AND DISCRIMINATIVE REGULARIZATION TERM
         Lin Zhu; National University of Defense Technology
         Xiang Zhang; National University of Defense Technology
         Wenju Zhang; National University of Defense Technology
         Xuhui Huang; National University of Defense Technology
         Naiyang Guan; National University of Defense Technology
         Zhigang Luo; National University of Defense Technology