| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IST |
2025-11-21
13:30 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
A Novel 1/1.3-inch 50 Megapixel three-wafer-stacked CMOS Image Sensor with DNN Circuit for Edge Processing
Ryoichi Nakamura, Hidenobu Tsugawa, Wataru Otsuka, Kan Shimizu, Yoshihisa Kagawa, Kenta Ono, Yosuke Horie (Sony Semiconductor Solutions) |
This study reports the first ever 3-wafer-stacked CMOS image sensor comprising an artificial intelligence (AI) chip with... [more] |
IST2025-46
pp.1-4 |
| ME |
2025-10-28
16:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Invited Lecture]
Practical use of automatic video summarization technologies in broadcasting stations
Takahiro Mochizuki (NHK) |
In the era when short videos are preferred, broadcasting stations have been enhancing momentums to distribute summary vi... [more] |
ME2025-94
pp.17-21 |
| 3DMT |
2025-10-22
13:30 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Improvement of image recognition accuracy of contact lens camera based on distributed single-pixel imaging using deep learning
Hanano Tanaka, Yasuhiro Takaki (TUAT) |
We have previously proposed a low-energy consumption contact lens camera based on the distributed single-pixel imaging, ... [more] |
3DMT2025-37
pp.17-20 |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
14:15 |
Ishikawa |
|
A Study of Image Classifier Combining Pixel Array Operations and Digital Matrix Operations in Image Sensors
Kota Imagawa, Takeshi Enomoto, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
We investigate a tiny neural network (NN) that performs matrix operation circuits in a CMOS image sensor to realize a lo... [more] |
IST2025-25 ME2025-63
pp.18-23 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
13:10 |
Hokkaido |
Hokkaido Univ. |
Experiments on image recognition by optoelectronic deep neural network with scattering medium insertion
Kaito Inoue, Takumi Hashiguchi, Taichi Takatsu, Rio Tomioka (Kyutech), Atsushi Shibukawa (Hokkaido Univ.), Masanori Takabayashi (Kyutech) |
Optoelectronic deep neural network (OE-DNN) has been proposed as a solution to address the increasing energy consumption... [more] |
MMS2025-33 ME2025-33 AIT2025-33 SIP2025-33
pp.161-166 |
| IEICE-MRIS, MMS |
2024-12-05
14:20 |
Ehime |
Ehime Univ. (CITE)
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Holographic memory using complex-amplitude-modulated signal beam
Masatoshi Bunsen, Tomohiro Nishimura (Fukuoka Univ.) |
To achieve high-speed and large-capacity holographic memory, complex amplitude modulation, which applies modulation to b... [more] |
MMS2024-38
pp.7-13 |
| 3DMT |
2024-10-29
10:45 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Compressing Phase-only Holograms via Phase Unwrapping
Yoshiki Watanabe, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (NU) |
We propose a compression method for phase-only holograms. We first apply a phase unwrapping algorithm to the target phas... [more] |
3DMT2024-60
pp.9-12 |
| IEICE-SIS, BCT |
2024-10-03
16:40 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Near-data AI Processors and Hardware-Software Co-optimization
Kota Ando (Hokkaido Univ.) |
Widely spreading AI applications are highly dependent on cloud computing. Specifically, AI applications based on neural ... [more] |
|
| OSJ-HODIC, AIT, 3DMT, IDY, IEICE-EID, IEE-OQD, SID-JC |
2024-09-02
14:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep Learning in Projection Mapping
Daisuke Iwai (UOsaka) |
Projection mapping (PM) allows users to experience virtual and augmented reality without wearing displays by projecting ... [more] |
IDY2024-39 AIT2024-161 3DMT2024-50
pp.36-39 |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
10:55 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Price Prediction of Handmade Items using Multimodal Data
Tomoya Sugihara (UTokyo), Shuntaro Masuda (UTokyo.), Shengzhou Yi, Toshihiko Yamasaki (UTokyo) |
Handmade products differ from mass-produced items as each item is uniquely crafted by hand. Therefore, setting initial p... [more] |
|
| IIEEJ, AIT |
2024-06-05
11:30 |
Tokyo |
Tokyo Information Design Professional University
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Machine Learning Models using Entropy of Images
Riko Abe, Yuya Dan (Matsuyama Univ.) |
In machine learning with artificial neural networks, there are differences in recognition accuracy in learning models of... [more] |
AIT2024-146
pp.17-20 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
14:30 |
Tokyo |
Tokyo University of Technology |
Card game AI applying reinforcement learning with Unity ML-Agents
Tatsuya Watanabe, Junichi Yamamoto (THCU) |
In recent years, there has been active research in game AI, with AI agents reaching the level of professional players in... [more] |
AIT2024-138
pp.375-376 |
| IEICE-EID, IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] |
2024-01-25
13:15 |
Kyoto |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reproduction of changes in membrane potential of neurons by synaptic devices using memristors
Kenta Yachida, Yoshiya Abe, Kazuki Sawai (Ryukoku Univ.), Tokiyoshi Matsuda (Kindai Univ./Ryukoku Univ.), Hidenori Kawanishi (Ryukoku Univ.), Mutsumi Kimura (Ryukoku Univ./NAIST) |
We attempted to replicate the changes in the membrane potential of neurons using thin-film neuromorphic devices that int... [more] |
|
| IEICE-CPM, IEICE-MRIS, IEICE-OME, MMS [detail] |
2023-10-26
13:00 |
Niigata |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Development of magneto-optical diffractive deep neural network device
Takayuki Ishibashi, Hotaka Sakaguchi, Jian Zhang, Fatima Chafi Zhara (Nagaoka Univ. Tech.), Hirofumi Nonaka (Aichi Inst. Tech.), Satoshi Sumi, Hiroyuki Awano (Toyota Tech. Inst.N) |
We propose a magneto-optical diffractive deep neural network (MO-D2NN). We simulated several MO-D2NNs, each of which con... [more] |
MMS2023-38
pp.1-2 |
| IEICE-SIS, BCT |
2023-10-13
09:30 |
Yamaguchi |
HISTORIA UBE
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Material reservoir computing devices for robot applications, such as in-sensor tactile computing devices
Hirofumi Tanaka (Kyutech) |
Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in ran... [more] |
|
| AIT, 3DMT, OSJ-HODIC |
2023-09-08
17:15 |
Tokyo |
Nihon Univ. College of Science and Technology (Surugadai Campus) |
|
Phase unwrapping is a technique used to recover the original phase from the wrapped phase in the range (−π, π]. Conventi... [more] |
AIT2023-147 3DMT2023-34
pp.33-36 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2023-09-07
09:50 |
Osaka |
Osaka Metropolitan Univ.
(Primary: On-site, Secondary: Online) |
Improving Performance of Convolutional Neural Network-Based Driver Behavior Recognition
Shengbiao Wang, Koji Iwano (Tokyo City Univ.) |
This study investigates the automatic recognition of driver behaviors using images captured by in-vehicle cameras for th... [more] |
ME2023-90
pp.7-12 |
| BCT, IEEE-BT, HOKKAIDO |
2023-07-28
11:50 |
Hokkaido |
Sapporo Business Innovation Center
(Primary: On-site, Secondary: Online) |
An Evaluation of Neural Network Parameters for Decoding (8,4) and (16,8) Polar Codes
Reona Kumaki, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) |
Polar codes are one type of error correction codes.
When operated with a sufficiently long code length, polar codes ca... [more] |
BCT2023-61
pp.49-52 |
| IST |
2023-06-21
14:10 |
Tokyo |
Tokyo University of Science Morito Memorial Hall |
[Poster Presentation]
Verification of the effectiveness of multitask learning for demosaicking and white-balancing
Yuki Nakagomi, Ryoya Takeuchi, Taishi Iriyama, Takashi Komuro (Saitama Univ) |
In this study, we conducted an investigation on the learning effectiveness of jointly training demosaicking and white ba... [more] |
IST2023-25
pp.19-22 |
| IIEEJ, AIT |
2023-06-03
14:30 |
Tokyo |
TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online) |
Video Encoding Scheme Using Autoencoder with Learning Decoded Image of Previous Frame
Koki Inoue, Atsushi Koike (Seikei Univ) |
In recent years, research on image processing using deep learning has been active, and an image coding method using neur... [more] |
AIT2023-131
pp.27-30 |