| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
- 2023-02-22 |
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.) |
[more] |
|
| IEICE-ICD, IEICE-SDM, IST [detail] |
2022-08-09
13:15 |
Online |
On-line |
[Invited Talk]
Quantification of perception using Psychophysical Methods
Sae Kaneko (Hokkaido Univ.) |
[more] |
IST2022-30
pp.67-70 |
| IEICE-ICD, IEICE-SDM, IST [detail] |
2022-08-09
14:25 |
Online |
On-line |
Evaluation of simultaneous depth and stress measurement by array sensing using indenter physics
Ayato Nozu, Rikuo Yugeta, Yuri Kanazawa, Masayuki Ikebe (Hokkaido Univ.) |
Currently, there is not much discussion on remoteness for palpation. In order to use 5G-based remote technology for palp... [more] |
IST2022-32
pp.77-81 |
| IEICE-ICD, IEICE-SDM, IST [detail] |
2022-08-10
14:00 |
Online |
On-line |
[Invited Talk]
Algorithm-architecture co-optimization for edge AI applications
Kota Ando (Hokkaido Univ.) |
(To be available after the conference date) [more] |
IST2022-33
p.103 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
12:45 |
Online |
online |
Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Hokkaido Univ.) |
Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement ... [more] |
MMS2022-6 ME2022-31 AIT2022-6
pp.31-36 |
| 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
14:40 |
Online |
online |
Effect of post-exposure time on diffraction efficiency of volume holograms during recording
Yuya Kuroda, Atsushi Okamoto (Hokkaido Univ.), Satoshi Shinada, Yuta Goto (NICT), Akihisa Tomita (Hokkaido Univ.) |
To realize the mode division multiplexing transmission, we have proposed a volume holographic mode de-multiplexer (VHDM)... [more] |
MMS2022-13 ME2022-38 AIT2022-13
pp.67-70 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:05 |
Online |
online |
Mode diffusion technique for reduction of crosstalk in volume holographic mode demultiplexer
Shuanglu Zhang, Atsushi Okamoto, Akihisa Tomita (Hokkaido Univ.) |
Volume holographic demultiplexers (VHDMs) utilize angularly multiplexed volume holograms to separate multiplexed spatial... [more] |
MMS2022-14 ME2022-39 AIT2022-14
pp.71-75 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:20 |
Online |
online |
Resolution in 3D super-resolution projection using single-lens spatial cross modulation method
Xinruinan Zhang, Atsushi Okamoto (Hokkaido Univ.), Hisatoshi Funakoshi (Gifu Univ.), Shuanglu Zhang, Akihisa Tomita (Hokkaido Univ.) |
Spatial cross modulation (SCMM) can regenerate optical complex amplitudes by combining a single spatial light modulator ... [more] |
MMS2022-15 ME2022-40 AIT2022-15
pp.77-80 |
| 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 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:05 |
Online |
online |
A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a personalized saliency map (PSM) prediction method using a small amount of gaze data based on user ... [more] |
MMS2022-26 ME2022-51 AIT2022-26
pp.181-186 |