| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IST |
2026-03-27
09:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
A 0.8μm 32Mpixel Always-On CMOS Image Sensor with Windmill-Pattern Edge Extraction and On-Chip DNN
Mamoru Sato, Sachio Akebono, Kazuyoshi Yasuoka, Eriko Kato, Masahiro Tsuruta, Kensuke Ota, Kazuki Haraguchi, Masahiro Watanabe, Genki Fujii, Koichiro Yamanaka, Kazunori Yasuda, Satoshi Minami, Katsuhiko Hanzawa, Kohei Matsuda, Akihiko Kato, Yosuke Ueno (SSS) |
This paper presents a CMOS image sensor (CIS) that integrates two operation modes: a high-resolution viewing mode with 0... [more] |
IST2026-14
pp.18-22 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
10:00 |
Hokkaido |
|
Area Light Source Parameter Estimation for Penumbra Representation in AR
Takuto Yoshida, Hiroki Takahashi (UEC) |
To achieve optical consistency in Augmented Reality (AR), it is necessary to accurately estimate the real-world light so... [more] |
MMS2026-1 ME2026-1 AIT2026-1 SIP2026-1
pp.1-4 |
| KANSAI |
2025-11-30
10:30 |
Osaka |
OMU I-site Namba |
Extraction of Plasterer's Tacit Knowledge and Automatic Generation of Robotic Arm Motions through Deep Predictive Learning
Keisuke Ota, Ikumi Noborio, Makoto Muramoto, Weiwei Du (KIT) |
In plastering work performed by skilled craftsmen, it is possible to respond flexibly to environmental changes through t... [more] |
|
| 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 |
| AIT, IIEEJ, AS, CG-ARTS |
2025-03-10
14:25 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) |
SVBRDF Prediction based on Two-Level Basis from Multiple Input Images
Tomoya Kozuki, Kei Iwasaki (Saitama Univ.) |
This paper proposes a model that predicts Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) usi... [more] |
AIT2025-70
pp.114-117 |
| 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 |
| IST |
2024-11-08
13:40 |
Tokyo |
Morito Mem. Hall
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep compressive sensing with coded image sensor
Michitaka Yoshida (JSPS), Daisuke Hayashi, Lioe De Xing, Keita Yasutomi, Shoji Kawahito, Keiichiro Kagawa (Shizuoka Univ.), Hajime Nagahara (Osaka Univ.) |
In this paper, we introduce a method of compressed sensing using coded CMOS sensors and the concept of deep sensing. By ... [more] |
IST2024-56
pp.20-24 |
| 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 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-05
16:30 |
Hiroshima |
Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online) |
Proposal of an Emotion Recognition System for Improving Video Viewing Experience of Visually Impaired Individuals
Zhiyuan Ning, Hiroyuki Nakamura (S.I.T) |
The rapid growth of short video platforms like TikTok has highlighted the need for improved accessibility for visually i... [more] |
ME2024-86
pp.37-40 |
| 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
13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Color information restoration from printed and scanned grayscale images with deep learning
Takehiro Muroya, Hiroshi Higashi, Yuichi Tanaka (OU) |
In this report, we propose a colorization method for gray-scale images embedded color information with the wavelet trans... [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 |
| 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 |
| 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 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
13:00 |
Hokkaido |
Hokkaido Univ. |
Fast designing method of additional patterns in self-referential holographic data storage
-- Approach using deep neural network --
Kazuki Chijiwa, Masanori Takabayashi (Kyushu Inst. of Tech.) |
In self-referential holographic data storage (SR-HDS) known as a purely one-beam holographic recording method, it has be... [more] |
MMS2023-7 ME2023-27 AIT2023-7
pp.35-40 |
| IIEEJ, AIT |
2022-10-30
14:50 |
Online |
on line |
[Invited Talk]
Advances in Image Editing Techniques with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) |
In this presentation, I will introduce how image editing techniques have been developed through deep learning. The metho... [more] |
AIT2022-175
p.13 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
16:10 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Image and Video Restoration with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) |
In this talk, I will introduce techniques for restoring black-and-white images and videos with high accuracy using deep ... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
16:40 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
17:00 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) |
(To be available after the conference date) [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:15 |
Online |
online |
Towards Universal Deep Image Compression
Koki Tsubota (UTokyo), Hiroaki Akutsu (Hitachi), Kiyoharu Aizawa (UTokyo) |
In this paper, we investigate deep image compression towards universal usage. In image compression, it is desirable to b... [more] |
|