| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:20 |
Online |
online |
A Note on Electron Microscope Image Generation from Mix Proportion and Material Property via Generative Adversarial Network for Rubber Materials
Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. A... [more] |
MMS2022-27 ME2022-52 AIT2022-27
pp.187-191 |