Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE |
2022-01-24 10:00 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Ensemble learning for road damage detection Naoki Wada, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) IE2021-30 |
As most of the roads in Japan are approaching the renewal stage, there is a need for automatic detection of road damages... [more] |
IE2021-30 pp.15-20 |
IE |
2022-01-24 10:25 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
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.) IE2021-29 |
(To be available after the conference date) [more] |
IE2021-29 pp.9-14 |
IE |
2022-01-24 11:10 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
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) IE2021-27 |
In order to easily enjoy immersive 3D visual environment reproducing light fields, inexpensive multi-view imaging system... [more] |
IE2021-27 pp.1-4 |
IE |
2022-01-24 11:35 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
4D light field compression based on view interpolation using multi-focus images Shuho Umebayashi (TUS/NII), Kazuya Kodama (NII), Takayuki Hamamoto (TUS) IE2021-28 |
Light field reproduction by 3D reconstruction using multi-view videos has been widely developed. For example, while such... [more] |
IE2021-28 pp.5-8 |
IE |
2022-01-24 12:40 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Acceleration of Bilateral Filter by Approximating Gaussian Weight Calculation Fumiya Kojima (NITech), Yoshihiro Maeda (TUS), Norishige Fukushima (NITech) IE2021-33 |
Bilateral filter is a typical edge-preserving smoothing filter that uses a Gaussian distribution.The Gaussian distributi... [more] |
IE2021-33 pp.33-38 |
IE |
2022-01-24 13:05 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
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) IE2021-31 |
MRI has a relatively long acquisition time, leading to patient comfort problems and artifacts from patient motion. Accel... [more] |
IE2021-31 pp.21-26 |
IE |
2022-01-24 13:30 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
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) IE2021-32 |
[more] |
IE2021-32 pp.27-32 |