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Technical Committee on Image Engineering (IE) [schedule] [select]
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)

Conference Date Mon, Jan 24, 2022 10:00 - 13:55
Topics Image Processing, Image Coding, etc. 
Conference Place National Institute of Informatics (15F, Room No. 1512) + Online 
Norishige Fukushima
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Registration Fee This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on IE.

Mon, Jan 24 AM 
10:00 - 10:50
(1) 10:00-10:25 Ensemble learning for road damage detection IE2021-30 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 IE2021-29 Shota Hirose, Naoki Wada, Heming Sun, Jiro Katto (Waseda Univ.)
  10:50-11:10 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 IE2021-27 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 IE2021-28 Shuho Umebayashi (TUS/NII), Kazuya Kodama (NII), Takayuki Hamamoto (TUS)
  12:00-12:40 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 IE2021-33 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 IE2021-31 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 IE2021-32 Fahad Parvez Mahdi, Yuto Onai, Ze Jin, Kenji Suzuki (Tokyo Tech)

Announcement for Speakers
General TalkEach speech will have 20 minutes for presentation and 5 minutes for discussion.

Contact Address and Latest Schedule Information
IE Technical Committee on Image Engineering (IE)   [Latest Schedule]
Contact Address E--mail: ie-n2021 

Last modified: 2022-01-21 14:33:07

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