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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 183  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
11:00
Hokkaido Hokkaido Univ. A note on text prompt tuning in cross-modal image retrieval for a specific database
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
With the development of storage devices and the Internet, the number of users creating personal image databases has incr... [more] MMS2023-3 ME2023-23 AIT2023-3
pp.11-15
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
11:15
Hokkaido Hokkaido Univ. A Note on Interpretable Visual Question Answering Model with Visual Representation Based on Object Detection Model
He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido University)
 [more] MMS2023-4 ME2023-24 AIT2023-4
pp.17-21
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
14:45
Hokkaido Hokkaido Univ. A Note on Improvement of Binauralization Performance Based on Multi-view Learning on 360° Videos
Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a binaural audio generation method based on multi-view learning using 360◦ videos. Conventiona... [more] MMS2023-13 ME2023-33 AIT2023-13
pp.65-69
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
13:00
Online online A note on multi-source model adaptation for semantic segmentation -- Improving adaptation performance by learning model-invariant representation from multiple source models --
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2022-7 ME2022-32 AIT2022-7
pp.37-41
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
13:30
Online online A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on Self-Supervised Learning and Self-Knowledge Distillation
Guang Li, Ren Togo (Hokkaido Univ.), Katsuhiro Mabe (Junpukai Health Maintenance Center), Shunpei Nishida (Olympus), Yoshihiro Tomoda (Olympus Medical Systems), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper proposes a novel method for automatic diagnosis of Helicobacter pylori (H. pylori) infection based on self-su... [more] MMS2022-9 ME2022-34 AIT2022-9
pp.49-52
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
16:45
Online online A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder -- Introduction of Regularization Losses Based on Metrics of Disentangled Representation --
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we study disentangled representation learning using a deep generative model based on Variational Autoenco... [more] MMS2022-19 ME2022-44 AIT2022-19
pp.97-102
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
17:15
Online online A Note on User Preference-Aware Music Playlist Generation Based on Reinforcement Learning and Knowledge Graph
Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2022-21 ME2022-46 AIT2022-21
pp.109-112
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
14:10
Online online A Note on Transformer-based Scene Recognition in Soccer Videos Using Different Lengths of Clips
Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2022-23 ME2022-48 AIT2022-23
pp.167-170
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
 Results 1 - 20 of 183  /  [Next]  
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