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=============================================== Technical Committee on Image Engineering (IE) Chair: Kazuya Kodama (NII) Vice Chair: Hiroyuki Bandoh (NTT), Toshihiko Yamazaki (Univ. of Tokyo) Secretary: Kyohei Unno (KDDI Research), Norishige Fukushima (Nagoya Inst. of Tech.) Assistant: Shunsuke Iwamura (NHK), Shinobu Kudo (NTT) DATE: Mon, Jan 24, 2022 10:00 - 13:55 PLACE: National Institute of Informatics (15F, Room No. 1512) + Online(Norishige Fukushima) TOPICS: Image Processing, Image Coding, etc. ---------------------------------------- Mon, Jan 24 AM (10:00 - 10:50) ---------------------------------------- (1) 10:00 - 10:25 Ensemble learning for road damage detection Naoki Wada, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) (2) 10:25 - 10:50 Investigation for good technique to improve the accuracy of INT8 deep learning model for super-resolution Shota Hirose, Naoki Wada, Heming Sun, Jiro Katto (Waseda Univ.) ----- Break ( 20 min. ) ----- ---------------------------------------- Mon, Jan 24 AM (11:10 - 12:00) ---------------------------------------- (3) 11:10 - 11:35 Efficient dense interpolation of 4D light fields obtained by sparse viewpoints based on depth estimation Hidemichi Yoshino (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science) (4) 11:35 - 12:00 4D light field compression based on view interpolation using multi-focus images Shuho Umebayashi (TUS/NII), Kazuya Kodama (NII), Takayuki Hamamoto (TUS) ----- Break ( 40 min. ) ----- ---------------------------------------- Mon, Jan 24 PM (12:40 - 13:55) ---------------------------------------- (5) 12:40 - 13:05 Acceleration of Bilateral Filter by Approximating Gaussian Weight Calculation Fumiya Kojima (NITech), Yoshihiro Maeda (TUS), Norishige Fukushima (NITech) (6) 13:05 - 13:30 Reduction of Truncation Artifacts by Massive-Training Artificial Neural Network (MTANN) in Fast-Acquisition MRI of the Knee Maodong Xiang, Ze Jin, Kenji Suzuki (Tokyo Tech) (7) 13:30 - 13:55 Toward Generating Virtual-High-Dose Breast Tomosynthesis Images from Low-Dose Images Using MTANN Fahad Parvez Mahdi, Yuto Onai, Ze Jin, Kenji Suzuki (Tokyo Tech) # Information for speakers General Talk will have 20 minutes for presentation and 5 minutes for discussion. === Technical Committee on Image Engineering (IE) === # FUTURE SCHEDULE: Mon, Feb 21, 2022 - Tue, Feb 22, 2022: Online [Mon, Dec 13], Topics: Image Processing, etc. Wed, Mar 9, 2022 - Fri, Mar 11, 2022: Online (Zoom) [Mon, Jan 17], Topics: Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc # SECRETARY: E-mail: ie-  n 2021   Last modified: 2022-01-21 14:33:07 |
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