SS-IVM-6.5

MULTI-VIEW VARIATIONAL AUTOENCODER FOR ROBUST CLASSIFICATION AGAINST IRRELEVANT DATA

Daichi Nishikawa, Ryosuke Harakawa, Masahiro Iwahashi, Nagaoka University of Technology, Japan
Session:
Recent Advances in Deep Image Restoration
Track:
Image, Video, and Multimedia (IVM)
Session Time:
Fri, 17 Dec, 15:20 - 17:00 Japan Standard Time (UTC +9)
Fri, 17 Dec, 06:20 - 08:00 Coordinated Universal Time
Fri, 17 Dec, 01:20 - 03:00 Eastern Standard Time (UTC -5)
Thu, 16 Dec, 22:20 - 00:00 Pacific Standard Time (UTC -8)
Session Co-Chairs:
Ryosuke Harakawa, Nagaoka University of Technology and Jong Ok Kim, Korea University
Presentation
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Session SS-IVM-6
FR3.LS-A.1: Multi-Band NIR Colorization Using Structure-Aware Network
Min-Je Park, Ju-Han Lee, Sang-Ho Lee, Jong-Ok Kim, Korea University, Korea, Republic of
FR3.LS-A.2: PROXIMAL GRADIENT-BASED LOOP UNROLLING WITH INTERSCALE THRESHOLDING
Ruiki Kobayashi, Shogo Muramatsu, Niigata University, Japan; Shunsuke Ono, Tokyo Institute of Technology University, Japan
FR3.LS-A.3: EDGE MAP-GUIDED SCALE-ITERATIVE IMAGE DEBLURRING
Sung-Jun Min, Suk-Ju Kang, Sogang University, Korea, Republic of
FR3.LS-A.4: Super-Resolution Imaging Using a Focus Pixel Sensor
Sung-Min Woo, Korea University of Technology and Education, Korea, Republic of; Jeong-Won Ha, Jong-Ok Kim, Korea University, Korea, Republic of
FR3.LS-A.5: MULTI-VIEW VARIATIONAL AUTOENCODER FOR ROBUST CLASSIFICATION AGAINST IRRELEVANT DATA
Daichi Nishikawa, Ryosuke Harakawa, Masahiro Iwahashi, Nagaoka University of Technology, Japan