Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM |
2024-01-25 14:40 |
Kanagawa |
Keio Univ. (Hiyoshi Campus) |
Efficient exploration with intrinsic motivation considering state transitions in deep reinforcement learning Kaito Ohshika, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2023-42 |
In deep reinforcement learning, learning data is collected through the interaction between the agent and the environment... [more] |
PRMU2023-42 pp.14-19 |
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM |
2024-01-26 10:30 |
Kanagawa |
Keio Univ. (Hiyoshi Campus) |
Body Parts Motion Guided Deformable Attention for Action Recognition Yuji Sato, Umihiro Kamoto, Takeo Ueta (Panasonic Connect), Yasunori Ishii (Panasonic Holdings), Takayoshi Yamashita (Chubu Univ.) PRMU2023-44 |
In recent years, video transformers for action recognition have been
proposed and achieve high performance. Most of the... [more] |
PRMU2023-44 pp.26-31 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-16 16:50 |
Tottori |
(Primary: On-site, Secondary: Online) |
On Food Plant Classification from Luehdorfia Japonica Images using Multi-label Classification ABN Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, Yuichi Oba, Hiromichi Fukui (Chubu Univ.), Masaya Yago (Tokyo Univ.) PRMU2023-27 |
Butterfly is a familiar taxon. Because of the abundance of specimens and the ease of comparison between specimens, regio... [more] |
PRMU2023-27 pp.62-67 |
PRMU, IPSJ-CVIM |
2022-03-10 16:05 |
Online |
Online |
Learning from AI: Proposal of interactive learning methods for learners learning from DNN embedded expertise knowledge as a teacher Kohei Hattori, Hironobu Fujiyoshi, Takayoshi Yamashita, Tsubasa Hirakawa (CHUBU) PRMU2021-70 |
(To be available after the conference date) [more] |
PRMU2021-70 pp.60-65 |
PRMU, IPSJ-CVIM |
2022-03-10 17:30 |
Online |
Online |
Adversarial Training: A Survey Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2021-73 |
Adversarial training (AT) is a training method that aims to obtain a robust model for defencing the adversarial attack b... [more] |
PRMU2021-73 pp.78-90 |
PRMU |
2021-12-17 10:45 |
Online |
Online |
Data augmentation for domain adaptation by class consistency using soft target Wataru Imaeda (Kyocera Corp.), Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2021-49 |
Domain adaptation is a task to acquire sufficient discrimination performance between images with different domains in le... [more] |
PRMU2021-49 pp.136-141 |
PRMU |
2021-12-17 11:00 |
Online |
Online |
Object Detection with FIR Camera using Domain Adaptation Yuzuru Nakamura, Yasunori Ishii, Satoshi Sato, Yuki Maruyama (Panasonic), Takayoshi Yamashita (Chubu University) PRMU2021-50 |
In order to predict by deep learning with FIR (Far Infrared) camera that is invariant to lighting conditions, since a la... [more] |
PRMU2021-50 pp.142-147 |
PRMU |
2020-10-09 13:30 |
Online |
Online |
Model efficiency of Saliency prediction using consistency of multipleresolutions Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Hujiyoshi (Chubu Univ.) PRMU2020-25 |
[more] |
PRMU2020-25 pp.38-43 |
PRMU |
2020-10-09 15:15 |
Online |
Online |
Trajectory Forecasting using Deep Learning: A Survey Horoaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2020-29 |
Trajectory forecasting is the technology of predicting the path along which moving objects such as a pedestrian and vehi... [more] |
PRMU2020-29 pp.62-78 |
PRMU |
2020-09-02 10:30 |
Online |
Online |
Image Captioning in Near-Future from Vehicle Camera images and motion information Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2020-10 |
Image caption generation is a task to generate explanatory text for input images, which is used for automatic generation... [more] |
PRMU2020-10 pp.13-18 |
PRMU |
2020-09-02 15:45 |
Online |
Online |
Collaborative learning for generative adversarial networks Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2020-14 |
Generative adversarial networks (GANs) adversarially trains generative and discriminative models. And this is how to gen... [more] |
PRMU2020-14 pp.41-46 |
PRMU |
2018-12-14 10:00 |
Miyagi |
|
Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks Ryo Matsui, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2018-82 |
(To be available after the conference date) [more] |
PRMU2018-82 pp.39-44 |
PRMU |
2017-12-17 13:00 |
Kanagawa |
|
Yusuke Uchida (DeNA), Takayoshi Yamashita (Chubu Univ.) PRMU2017-105 |
(To be available after the conference date) [more] |
PRMU2017-105 pp.25-38 |
PRMU |
2017-10-12 14:00 |
Kumamoto |
|
Self-state-aware convolutional neural network for autonomous driving Takuya Murase, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2017-77 |
[more] |
PRMU2017-77 pp.85-90 |
PRMU |
2017-10-13 09:45 |
Kumamoto |
|
[Survey paper] Vision-based path prediction Tsubasa Hirakawa, Takayoshi Yamashita (Chubu Univ.), Toru Tamaki (Hiroshima Univ.), Hironobu Fujiyoshi (Chubu Univ.) PRMU2017-82 |
Path prediction is a method to predict future migration pathway of an object such as pedestrian or car in a movie. Becau... [more] |
PRMU2017-82 pp.109-118 |
PRMU |
2017-10-13 14:50 |
Kumamoto |
|
PRMU2017-94 |
[more] |
PRMU2017-94 pp.175-180 |
PRMU |
2016-12-16 12:45 |
Tottori |
|
Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu univ.) PRMU2016-121 |
[more] |
PRMU2016-121 pp.37-46 |
PRMU |
2016-12-16 13:15 |
Tottori |
|
PRMU2016-122 |
(To be available after the conference date) [more] |
PRMU2016-122 pp.47-52 |
ET |
2016-06-11 16:10 |
Aichi |
Nagoya Institute of Technology |
Analysis of the Learning Effects in Programming Education Focused on Social Skills Uchi Masaya, Suzuki Yuri (Chubu Univ), Ishii Norio (Aichi Kiwami College of Nursing), Itai Akitoshi, Yamashita Takayoshi (Chubu Univ) ET2016-19 |
The purpose of this research is to analyze the learning effects of programming education with a focus on the learners’ s... [more] |
ET2016-19 pp.65-70 |
ET |
2016-06-11 16:35 |
Aichi |
Nagoya Institute of Technology |
A depelopement class design for a improvement modeling skill Maho Ueda, Yuri Suzuki, Yamashita Takayoshi, Itai Akitoshi (Chubu Univ.), Norio Ishii (Aichi Kiwami College of Nursing) ET2016-20 |
In this paper, we report on class design improvements and their effects in classes on robot building aimed at cultivatin... [more] |
ET2016-20 pp.71-76 |