| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:20 |
Hokkaido |
Hokkaido Univ. |
Enhancing Attracting-and-Dispersing Source-Free Domain Adaptation with Vision-and-Language Model
Xinqi Shu (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
[more] |
MMS2025-9 ME2025-9 AIT2025-9 SIP2025-9
pp.46-51 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
14:45 |
Hokkaido |
Hokkaido Univ. |
Evaluating Existing Dense Pose Estimators on Diverse Body Shape Images
BoTao Zhang (TMU), Shuhei Tarashima (NTT Communications), Norio Tagawa (TMU) |
[more] |
MMS2025-14 ME2025-14 AIT2025-14 SIP2025-14
pp.71-76 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
14:05 |
Hokkaido |
Hokkaido Univ. |
Reducing Computational Cost of 3D Human Pose and Shape Estimation Using Group-Mix Attention
Yushan Wang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
(To be available after the conference date) [more] |
MMS2025-36 ME2025-36 AIT2025-36 SIP2025-36
pp.173-178 |
| SIP |
2024-03-21
14:25 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba |
Bunch of Tricks for Improving Shuttlecock Detection from Badminton Videos
Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
Accurate identification of the shuttlecock is necessary for video analysis in badminton matches, but, it remains difficu... [more] |
SIP2024-4
pp.8-11 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
13:45 |
Hokkaido |
Hokkaido Univ. |
Efficient Human Pose and Shape Estimation using Decomposed Manhattan Self-Attention
Yushan Wang, Botao Zhang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
HMR2.0, a high performance human pose and shape estimation algorithm, leverages ViT as its backbone and uses pretrained ... [more] |
MMS2024-9 ME2024-25 AIT2024-9
pp.44-48 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
15:30 |
Hokkaido |
Hokkaido Univ. |
Evaluating The Effectiveness of Data Augmentation for Learning TrackNetV2
Yushan Wang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
Data augmentation has been widely used in a variety of deep learning tasks, mostly with a positive impact on the results... [more] |
MMS2023-16 ME2023-36 AIT2023-16
pp.81-84 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
15:45 |
Hokkaido |
Hokkaido Univ. |
A Residual U-Net Architecture for Shuttlecock Detection
Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
Detection of fast-moving shuttlecocks is essential for badminton video analysis. Several methods based on deep learning ... [more] |
MMS2023-17 ME2023-37 AIT2023-17
pp.85-88 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
11:30 |
Online |
online |
A Study of Temporal Information Embedding in Group Activity Recognition Models
Yuta Kumakura, Norio Tagawa (Tokyo Metropolitan Univ.), Shuhei Tarashima (NTT Communications Corp.) |
In the previous studies on group activity recognition, various models have been proposed to relate the appearance and be... [more] |
MMS2022-5 ME2022-30 AIT2022-5
pp.25-29 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN [detail] |
2017-09-05
15:25 |
Kyoto |
Kyoto Univ. (Clock Tower Centennial Hall) |
Visual Pattern Mining via Partitioning Correspondence Graphs
Shuhei Tarashima, Takayuki Kurozumi, Tetsuya Kinebuchi (NTT) |
[more] |
ME2017-89
pp.91-95 |