| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka (Ritumeikan Univ), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima, Okura Syunsuke, Kota Yoshida (Ritumeikan Univ) |
(To be available after the conference date) [more] |
|
| HI |
2024-03-19
15:20 |
Online |
|
Verification of an Efficient Model for Real-Time 4x Video Super-Resolution
Junichi Nakajima, Shinji Fukatsu (NTT) |
We investigated a re-parameterization method for x4 super-resolution processing to improve image quality while maintaini... [more] |
HI2024-27
pp.56-59 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
15:16 |
Tokyo |
Tokyo University of Technology |
A Fundamental Study on 3D CG Image Quality Assessment in Vision & Language Based on Stable Diffusion
Norifumi Kawabata (Kanazawa Gakuin Univ.) |
GPT-4, which is a multimodal large-scale language model, was released on March 14, 2023. GPT-4 is equipped with Transfor... [more] |
AIT2024-115
pp.288-291 |
| BCT, IEEE-BT, HOKKAIDO |
2023-07-28
11:25 |
Hokkaido |
Sapporo Business Innovation Center
(Primary: On-site, Secondary: Online) |
Image Size Reduction with Coding Difficulty Estimation as Preprocessing for High Compression Coding
Yasutaka Matsuo (NHK-Fdn) |
In a system with image size reduction before encoding, coding distortion such as block distortion is likely to occur at ... [more] |
BCT2023-60
pp.45-48 |
| BCT, IEEE-BT |
2023-03-10
13:30 |
Okinawa |
Okinawa RBC
(Primary: On-site, Secondary: Online) |
Image Size Reduction by Band Limitation of Spatial Frequency According to Coding Difficulty
Yasutaka Matsuo (NES) |
An image size reduction method is proposed as a pre-processing of high compression video coding. The blocking artifact f... [more] |
BCT2023-38
pp.33-36 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [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] |
MMS2023-3 ME2023-23 AIT2023-3
pp.11-15 |
| BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA |
2023-01-27
15:35 |
Fukuoka |
(Primary: On-site, Secondary: Online) |
Image Size Reduction for Pre-Processing of Video Coding
Yasutaka Matsuo (NES) |
An image size reduction method is proposed as a pre-processing of video coding. The blocking artifact for video coding i... [more] |
BCT2023-16
pp.59-62 |
| IST |
2022-12-12
14:20 |
Shizuoka |
Sanaru Hall |
[Poster Presentation]
A polarization CMOS image sensor with on-pixel polarizer optimized for microwave electric-field imaging
Ryoma Okada, Kiyotaka Sasagawa (Nara Institute of Science and Technology), Maya Mizuno (National Institute of Information and Communications Technology), Makito Haruta, Hironari Takehara (Nara Institute of Science and Technology), Hiroyuki Tashiro (Nara Institute of Science and Technology/Kyushu Univ.), Jun Ohta (Nara Institute of Science and Technology) |
In this study, we designed and fabricated a CMOS image sensor with a dual-layer on-pixel polarizer to improve the perfor... [more] |
IST2022-43
pp.21-22 |
| IST |
2022-12-12
14:20 |
Shizuoka |
Sanaru Hall |
[Poster Presentation]
[Poster Presentation] Estimation of scattering and chromophore concentration maps by multi-band spatial frequency domain imaging using a two-layer skin model.
Yuto Shimada, Yu Feng, Chen Cao, Keita Yasutomi, Shoji Kawahito, Keiichiro Kagawa (Shizuoka Univ.) |
Spatial frequency domain imaging (SFDI) can perform simultaneous quantitative measurement of the distributions of reduce... [more] |
IST2022-50
pp.35-36 |
| ME, SIP, TOKAI |
2022-12-07
10:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Improvement of Prediction Performance by Weighted Prediction for Cross-fade Video
Yuki Aigase, Kazuto Kamikura (TPU) |
Cross-fade is a special effect used in moving images. H.264, an international standard for video compression, improves e... [more] |
ME2022-86 SIP2022-5
pp.1-4 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
16:30 |
Online |
online |
3D Light Source Direction Estimation Using Known Objects for Augmented Reality
Yusuke Mukai, Hiroki Takahashi (UEC) |
In AR (Augmented Reality) technology, it is important to keep consistency between a real environment and a virtual envir... [more] |
MMS2022-18 ME2022-43 AIT2022-18
pp.91-96 |
| 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 |
| IST |
2021-06-30
11:00 |
Online |
|
|
SFDI and TRS are non-invasive imaging techniques for optical parameters such as absorption and scattering coefficients o... [more] |
IST2021-32
pp.9-12 |
| IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] |
2021-06-04
15:15 |
Online |
Online |
Acceleration of Dictionary Learning by Non-Separable Oversampled Lapped Transform for Image Restoration
Soushi Takahashi, Shogo Muramatsu (Niigata Univ.) |
This study proposes to accelerate example-based design of non-separable oversampled lapped transform (NSOLT) for image r... [more] |
IST2021-27 ME2021-58
pp.87-92 |
| IEICE-ICD, IEICE-SDM, IST [detail] |
2020-08-06
11:00 |
Online |
Online |
Gain calibration technique for global shutter CMOS terahertz image sensor pixels
Yuma Hirata, Yuji Nagayasu, Kotaro Sawaguchi, Yuri Kanazawa, Masayuki Ikebe (Hokkkaido Univ.) |
We propose a gain calibration mechanism for the global shutter CMOS terahertz image sensor. Even though we use the MOSFE... [more] |
IST2020-39
pp.9-12 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:45 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Zero-Shot Conditional Inpainting
Naoki Kato, Toshihiko Yamasaki (UTokyo) |
Image processing for objects of the unseen classes is sometimes needed, and one of the solutions of that is ``zero-shot ... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
15:10 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Unpaired Learning for Noise-free, Scale Invariant, and Interpretable Image Enhancement
Satoshi Kosugi, Toshihiko Yamasaki (Univ. of Tokyo) |
This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into ... [more] |
|
| IEICE-SDM, IEICE-ICD, IST [detail] |
2019-08-08
13:55 |
Hokkaido |
Hokkaido Univ., Graduate School /Faculty of Information Science and |
Gain calibration technique for CMOS terahertz image sensor pixels to compensate the process variation
Takahiro Ikegami, Yuma Hirata, Kotaro Sawaguchi, Yuji Nagayasu, Yuri Kanazawa, Masayuki Ikebe (Hokkaido Univ.) |
We propose a gain compensation mechanism for CMOS terahertz image sensors. Even though we use a MOSFET envelope detector... [more] |
IST2019-41
pp.49-52 |
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
14:45 |
Nagasaki |
Fukue Culture Center |
A Proposal of Improvement Method of Local Color Correction
Seiichi Kojima (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) |
It is difficult to take good pictures, when the scene has both of bright and dark regions. The visibility of the picture... [more] |
|
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
13:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] |
MMS2019-37 HI2019-37 ME2019-59 AIT2019-37
pp.315-318 |