| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [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] |
|
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-22
09:00 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Efforts of Hokkaido university to develop data-driven interdisciplinary research
Miki Haseyama, Yusuke Mizutani, Shingo Tanaka (Hokkaido Univ.) |
[more] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
|
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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] |
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