Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MVE, CQ, IMQ, IE (Joint) [detail] |
2025-03-06 15:20 |
Okinawa |
(Okinawa, Online) (Primary: On-site, Secondary: Online) |
Evaluation of Structural Factors and Their Impact on The Performance of A Lightweight Long-term Video Prediction Model Kazuki Kotoyori, Shota Hirose, Jiro Katto (Waseda Univ.) IMQ2024-62 IE2024-140 MVE2024-79 |
Video prediction is the task of predicting future frames by referring to past frames of a video, and video prediction mo... [more] |
IMQ2024-62 IE2024-140 MVE2024-79 pp.271-275 |
MVE, CQ, IMQ, IE (Joint) [detail] |
2025-03-06 15:40 |
Okinawa |
(Okinawa, Online) (Primary: On-site, Secondary: Online) |
Acceleration of Video Prediction Using Dynamic Compute Allocation Shota Hirose, Jiro Katto, Kazuki Kotoyori (Waseda Univ.) IMQ2024-63 IE2024-141 MVE2024-80 |
In recent years, research on video processing using deep learning has become increasingly active. In this paper, as an i... [more] |
IMQ2024-63 IE2024-141 MVE2024-80 pp.276-281 |
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] |
2024-06-07 11:20 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") (Niigata) |
A Study on Improving Deepfake Detection Accuracy using VQ-VAE Yujiro Ikebe, Shota Hirose, Jiro Katto (Waseda Univ.) SIP2024-13 BioX2024-13 IE2024-13 MI2024-13 |
[more] |
SIP2024-13 BioX2024-13 IE2024-13 MI2024-13 pp.66-71 |
BioX, SIP, IE, ITE-IST, ITE-ME [detail] |
2023-05-18 15:45 |
Mie |
Sansui Hall, Mie University (Mie, Online) (Primary: On-site, Secondary: Online) |
A Study on Improving Prediction Accuracy of Frame Extrapolation Using Forward Warping Kazuki Kotoyori, Shota Hirose, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2023-6 BioX2023-6 IE2023-6 |
Recently, many extrapolation models, which predict future frames of video, have been proposed. This study proposes to ch... [more] |
SIP2023-6 BioX2023-6 IE2023-6 pp.22-27 |
SeMI, IPSJ-MBL, IPSJ-UBI |
2022-03-08 14:45 |
Online |
Online (Online) |
Evaluation of Data Augmentation Methods Considering Occlusion Region for 3D Point Cloud Classification Shiori Maki, Kenji Kanai, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) SeMI2021-91 |
In recent years, research of point cloud classification using deep learning has been improved. In this paper, we propose... [more] |
SeMI2021-91 pp.47-52 |
IE |
2022-01-24 10:00 |
Tokyo |
National Institute of Informatics (Tokyo, Online) (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 (Tokyo, Online) (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 |