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TA.L2: Interpolation and Super-resolution I

Session Type: Lecture
Time: Tuesday, September 27, 10:30 - 12:30
Location: Room 106 C
Session Chair: Debargha Mukherjee, Google, Inc.
 
Presented 10:30 - 10:50
   TA.L2.1: IMAGE-GUIDED DEPTH MAP UPSAMPLING USING NORMALIZED CUTS-BASED SEGMENTATION AND SMOOTHNESS PRIORS
         Suraj Krishnamurthy; Indian Institute of Science
         Ramakrishnan Kalpathi; Indian Institute of Science
 
Presented 10:50 - 11:10
   TA.L2.2: ROBUST WEIGHTED LEAST SQUARES FOR GUIDED DEPTH UPSAMPLING
         Wei Liu; Shanghai Jiao Tong University
         Xiaogang Chen; University of Shanghai for Science and Technology
         Jie Yang; Shanghai Jiao Tong University
         Qiang Wu; University of Technology, Sydney
 
Presented 11:10 - 11:30
   TA.L2.3: MAXIMUM LIKELIHOOD INTERPOLATION FOR ALIASING-AWARE IMAGE RESTORATION
         Chaoqun Dong; Hong Kong University of Science and Technology
         Javier Portilla; Consejo Superior de Investigaciones Cientificas (CSIC)
 
Presented 11:30 - 11:50
   TA.L2.4: PATH-BASED IMAGE SEQUENCE INTERPOLATION GUIDED BY FEATURE POINTS
         Yizhou Fan; Tsinghua University
         Nobuki Yoda; The University of Tokyo
         Takeo Igarashi; The University of Tokyo
         Hongbing Ma; Tsinghua University
 
Presented 11:50 - 12:10
  TA.L2.5: COUPLED DICTIONARY LEARNING ON COMMON FEATURE SPACE FOR MEDICAL IMAGE SUPER RESOLUTION
         Songze Tang; Nanjing Forest Police College
         Haitao Guo; Nanjing Forest Police College
         Nan Zhou; Nanjing Forest Police College
         Lili Huang; Guangxi University of Science and Technology
         Tianming Zhan; Jiangsu University
 
Presented 12:10 - 12:30
   TA.L2.6: SPARSITY BASED SUPER RESOLUTION USING COLOR CHANNEL CONSTRAINTS
         Hojjat Seyed Mousavi; Pennsylvania State University
         Vishal Monga; Pennsylvania State University