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All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 46  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-19
10:45
Hokkaido Hokkaido Univ. A Note on Text to Image Generation Based on Stable Diffusion Using Brain Activity Data While Gazing on Image -- Introduction of Controllable Mechanism with Brain Activity Data in Latent Space --
Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2024-3 ME2024-19 AIT2024-3
pp.13-17
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-19
11:00
Hokkaido Hokkaido Univ. A Note on Improvement of Zero-shot Video Retrieval using LLM Description based on Multiple Image Captioning Models
Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Uni)
 [more] MMS2024-4 ME2024-20 AIT2024-4
pp.18-21
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-19
13:30
Hokkaido Hokkaido Univ. A Note on Domain Adaptation by Setting Features of Interest in Visual Language Models
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we present a domain adaptation method for image classification using a visual-language model (VLM). Recen... [more] MMS2024-8 ME2024-24 AIT2024-8
pp.39-43
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-20
11:00
Hokkaido Hokkaido Univ. [Special Talk] Research for Next-generation Infrastructure Maintenance and Activity of Collaboration Agreement with Hokkaido Regional Development Bureau
Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2024-23 ME2024-39 AIT2024-23
pp.114-119
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-20
11:15
Hokkaido Hokkaido Univ. [Special Talk] Damage Detection Using Drone Videos of Road Attachments Based on Vision Transformer
Koshi Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2024-24 ME2024-40 AIT2024-24
pp.120-123
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-20
11:25
Hokkaido Hokkaido Univ. [Special Talk] Technology of Findings Generation Based on Generative AI for Efficient Bridge Inspection
Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2024-25 ME2024-41 AIT2024-25
pp.124-127
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-20
11:35
Hokkaido Hokkaido Univ. [Special Talk] Prediction of Event Locations from Urgent Call Using Speech Recognition and Generative AI
Masaki Yoshida, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido University)
Operators handling road-related urgent calls are required to pinpoint the event location from information verbally commu... [more] MMS2024-26 ME2024-42 AIT2024-26
pp.128-131
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-20
13:30
Hokkaido Hokkaido Univ. A Note on Action Estimation with Event Stream Data of Soccer Player Based on Bidirectional Transformer
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2024-28 ME2024-44 AIT2024-28
pp.137-141
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
10:30
Hokkaido Hokkaido Univ. A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition... [more] MMS2023-1 ME2023-21 AIT2023-1
pp.1-4
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
10:45
Hokkaido Hokkaido Univ. 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
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
11:30
Hokkaido Hokkaido Univ. A Note on Accurate Shoot Prediction Considering Players' Spatio-temporal Relations in Soccer Videos -- Introduction of Complete Bipartite Graph Based on Players' Team Information --
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the introduction of a complete bipartite graph based on the team information of players for improvin... [more] MMS2023-5 ME2023-25 AIT2023-5
pp.23-28
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
11:45
Hokkaido Hokkaido Univ. A Note on Improvement of Supervised Latent Variable Model with Graph-Encoded Class Information
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Supervised latent variable models aim to estimate a manifold from original data and supervised information, such as clas... [more] MMS2023-6 ME2023-26 AIT2023-6
pp.29-33
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
15:00
Hokkaido Hokkaido Univ. A Note on Specific Object Removal in Urban Scene Using Video Inpainting Approach
Jiahuan Zhang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University)
 [more] MMS2023-14 ME2023-34 AIT2023-14
pp.71-74
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
16:00
Hokkaido Hokkaido Univ. A note on gaze-dependent image re-ranking for content-based image retrieval
Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2023-18 ME2023-38 AIT2023-18
pp.89-93
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:15
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
16:15
Online online A Note on Realizing Adversarial Defense Based on Regularization of Multi-stage Squeeze-and-Excitation Features
Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Regularizing deep features is a common adversarial defense method. However, the existing methods do not further explore ... [more] MMS2022-17 ME2022-42 AIT2022-17
pp.87-90
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
17:00
Online online A Note on Interest level Estimation Using Users' Behavior Information -- Validating the Effectiveness of Feature Integration with Multiple Users --
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we verify the effectiveness of feature integration with multi-user behavior information for interest leve... [more] MMS2022-20 ME2022-45 AIT2022-20
pp.103-107
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:55
Online online A Note on Multi-label Image Recognition in Anime Illustration Based on Graph Convolutional Networks Using Captioning Features
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2022-22 ME2022-47 AIT2022-22
pp.161-165
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:25
Online online A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentime... [more] MMS2022-24 ME2022-49 AIT2022-24
pp.171-175
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:40
Online online A Note on Inspection Action Classification Using First and Third Person Video of Engineers Inspecting Bridges
Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose an inspection action classification method using first and third person videos of engineers in... [more] MMS2022-25 ME2022-50 AIT2022-25
pp.177-180
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