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All Technical Committee Conferences (Searched in: All Years)
| 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, 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 | 2020-12-18 10:00 |
Online | Online | Report on MIRU 2020 Young Researchers Program Yuzuko Utsumi (OPU), Takafumi Iwaguchi (Kyushu Univ.), Xueting Wang (Univ. of Tokyo), Masanori Suganuma (Tohoku Univ./RIKEN), Mai Nishimura (Kyoto Univ./OSX), Kensho Hara (AIST), Tsubasa Hirakawa (Chubu Univ.), Hiroshi Fukui (NEC) PRMU2020-53 |
(To be available after the conference date) [more] | PRMU2020-53 pp.86-92 |
| 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 | 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 |
|
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (JR Hiroshima Hospital), Shinji Tanaka (Hiroshima Univ.) MI2016-108 |
(To be available after the conference date) [more] | MI2016-108 pp.139-144 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | [Poster Presentation]
Transfer Learning for Endoscopic Image Classification Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide (HU), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital of West Japan Railway Company), Shinji Tanaka (Hiroshima University Hospital) MI2015-119 |
[more] | MI2015-119 pp.223-227 |
| MI | 2013-11-07 15:20 |
Hiroshima | Image Segmentation for NBI Endoscopy Image Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) MI2013-53 |
In this paper, we propose a texture image segmentation method by using SVM posterior probabilities with a Markov Random ... [more] | MI2013-53 pp.39-43 |
|
| MI | 2013-01-25 11:05 |
Okinawa | Bunka Tenbusu Kan | Dirichlet distribution Particle Filter for Posterior probability Smoothing
-- Application for NBI Videoendoscopy -- Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) MI2012-100 |
In this paper, we propose the smoothing method for sequential data using Particle Filter, and apply to NBI video endosco... [more] | MI2012-100 pp.201-206 |
| MI | 2012-07-20 09:50 |
Yamagata | Yamagata Univ. | Labeling an image sequence of NBI videoendoscopy with MRF and DP Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shigeto Yoshida, Yoshito Takemura, Keiichi Onji, Rie Miyaki, Shinji Tanaka (Hiroshima Univ.) MI2012-30 |
in this paper, we will introduce temporal labeling method using SVM and MRF. The recognition method using Bag-of-Visual ... [more] | MI2012-30 pp.47-52 |
| PRMU, SP | 2012-02-09 16:30 |
Miyagi | [Poster Presentation]
Recognition for NBI Videoendoscopy Using MRF Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) PRMU2011-207 SP2011-122 |
In this paper, we introduce temporal labeling using Markov Random Fields(MRF) to smooth labels for NBI video endoscopy.F... [more] | PRMU2011-207 SP2011-122 pp.115-116 |
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