| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
12:50 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Note on Interpretability of Visual Language Model by Few-shot Learning based on the Linear Representation Hypothesis
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Visual language models (VLMs), pre-trained on vast amounts of web-based images and text, have demonstrated impressive ze... [more] |
MMS2025-7 ME2025-7 AIT2025-7 SIP2025-7
pp.34-39 |
| SIP |
2024-03-21
15:20 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba (Ibaraki) |
A Study on Fast Extraction Method of All Pitches from Baseball Game Video
Shohei Adachi, Hiroto Fukuta, Hiroshi Watanabe (Waseda Univ.) |
In TV sports and news programs, there is a demand for extracting and broadcasting all pitching scene as a highlight afte... [more] |
SIP2024-6
pp.16-19 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-20
14:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Study of Action Classification Methods from Videos Using Unsupervised Learning
Ayana Rikimaru (NIT(KOSEN), NC) |
The purpose of this study is to develop a system for automatic surveillance, and to examine whether human behavior in vi... [more] |
MMS2024-30 ME2024-46 AIT2024-30
pp.148-151 |
| ME |
2024-02-10
09:45 |
Online |
online (Online) |
A Study of Work Time Reduction Methods for Individual Recognition in Zoo
Kanon Shimodaira, Ayana Rikimaru (NIT,NC) |
This study investigated the feasibility of a real-time recognition system with the goal of improving the experience of o... [more] |
ME2024-1
pp.1-3 |
| ME |
2024-02-10
10:30 |
Online |
online (Online) |
Examination of painting style classification using features based on painting technique
Keisuke Kinoshita, Takuya Futagami (AGU) |
In this paper, we propose a method, which quantitatively assesses a painting technique, complementary color contrast, em... [more] |
ME2024-4
pp.12-15 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
14:38 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
Mouse classification system used by players in the e-Sports scene.
Takuma Sugiura, Kazuya Ueki (Meisei Univ.) |
In recent years, e-Sports, in which computer games are regarded as sports competitions, has become increasingly popular.... [more] |
AIT2023-65
pp.111-114 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
10:45 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a multi-label classification of animated illustrations considering the hierarchical relationships of... [more] |
MMS2023-2 ME2023-22 AIT2023-2
pp.5-9 |
| ME |
2022-07-22
16:20 |
Online |
Online (Online) |
Image Classification of Cancer Cells Treated with IRDAptermer
Rahman Rawnak Mim, Yuuka Yamagata, Yoshiro Chuman, Shogo Muramatsu (Niigata Univ.) |
This work evaluates convolutional neural network (CNN)-based image classifiers for determining the effect of a cell memb... [more] |
ME2022-70
pp.23-26 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:15 |
Online |
online (Online) |
A Note on Improvement of Accuracy in Classification of Distress Images for Efficient Inspection of Road Structures
-- Introduction of Ratio of Similar Cases Based on Text Data --
Taisei Hirakawa, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a method for correcting the results of distress image classification using text data recorded ... [more] |
MMS2022-8 ME2022-33 AIT2022-8
pp.43-48 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:00 |
Online |
online (Online) |
Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) |
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
10:15 |
Online |
online (Online) |
Classification of User's Device Possession Position and Behavior by Using Deep Metric Learning
Rui Kitahara, Lifeng Zhang (Kyutech) |
With the widespread use of smartphones, there have been efforts to classify human behavior using built-in sensors. Howev... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online (Online) |
Visualization of song collections for understanding of the relationship between metadata and features
Midori Watanabe, Narumi Kuroko (Ochanomizu Univ.), Hayato Ohya (RecoChoku Co., Ltd.), Takayuki Itoh (Ochanomizu Univ.) |
When performing automatic classification and recommendation for music, there exists a problem that it is not clear which... [more] |
AIT2021-95
pp.223-226 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
14:05 |
Online |
Online (Online) |
[Special Talk]
A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study the discrimination of road surface conditions based on deep learning using images captured by fi... [more] |
MMS2021-21 ME2021-21 AIT2021-21
pp.165-169 |
| 3DMT, IEICE-SIS, IPSJ-AVM [detail] |
2020-06-04
14:00 |
Online |
G Square (Hakodate Community Plaza) (Online, Hokkaido) |
An experimental comparison of CNN- and CRNN-CTC for automatic phrase speech recognition systems using a children's speech database
Yunzhe Wang, Yu Tian (Hokkaido Univ.), Yoshikazu Miyanaga (CIST), Hiroshi Tsutsui (Hokkaido Univ.) |
Children's speech recognition is still a challenging issue. In the case of children's speeches, the accuracy of conventi... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
16:35 |
Hokkaido |
Hokkaido Univ. (Hokkaido)
(Cancelled) |
A Note on Event Classification in Soccer Videos Using Bidirectional LSTM
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for event classification using Bidirectional LSTM (Bi-LSTM) in soccer videos. In soccer com... [more] |
MMS2020-48 HI2020-48 ME2020-76 AIT2020-48
pp.371-375 |
| ME |
2019-02-09
13:30 |
Kanagawa |
Kanto Gakuin University (Kanagawa) |
Video classification using signals and semantic level metadata for ambiguous video search
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.) |
It is becoming possible to find the expected videos in the internet with considerable accuracy, but the developed techno... [more] |
ME2019-11
pp.31-34 |
| ME |
2018-02-24
14:30 |
Kanagawa |
Kanto Gakuin Univ. (Kanagawa) |
A consideration of video search for ambiguous aim
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.) |
It is becoming possible to find the expected videos in the internet with considerable accuracy along with the progress o... [more] |
ME2018-61
pp.65-68 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15
13:45 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Note on Accuracy Improvement of Category Classification for Tourism Images in Image Sharing Services Using Deep Learning
Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
This paper presents a category classification of tourism images in image sharing services. The proposed method obtains t... [more] |
MMS2018-14 HI2018-14 ME2018-14 AIT2018-14
pp.161-165 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15
15:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Note on Classification of Tunnel Working Face Images toward Estimation of Rock Elastic Wave Velocity
Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Comprehension of rock elastic wave velocity is one of the most important issues regarding appropriate construction of ro... [more] |
MMS2018-18 HI2018-18 ME2018-18 AIT2018-18
pp.185-188 |
| CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] |
2017-02-20
13:30 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Note on Accurate Distress Classification for Maintenance Inspection of Road Structures via Deep Learning
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Automatic distress classification of distresses occurring in road structures is necessary in order to support inspectors... [more] |
MMS2017-6 CE2017-6 HI2017-6 ME2017-30 AIT2017-6
pp.51-54 |