| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IST |
2024-03-27
13:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Toward the Super Temporal Resolution: Fundamental Performance of Stone-Circle Image Sensors
T. Goji Etoh, Takayoshi Shimura, Heiji Watanabe (Osaka Univ.), Taeko Ando (Ritsumeikan Univ.), Kohsei Takehara (Kindai Univ.) |
The stone-circle image sensor has a circular PD surrounded by multiple vertical transfer gates (VTGs). By applying a hig... [more] |
IST2024-17
pp.25-28 |
| 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 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
14:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Reduced Reference Image Quality Assessment for Neural Radiance Fields
Masato Kawai, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper proposes Reduced Reference Image Quality Assessment (RR IQA) from monocular dynamic scene images for Neural R... [more] |
MMS2024-11 ME2024-27 AIT2024-11
pp.55-60 |
| IST |
2023-09-15
14:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
0.56um-pitch CMOS image sensor for high resolution application
Chun Yung Ai, Kazufumi Watanabe, Sangjoo Lee, Geunsook Park (OVT US), Akira Imaizumi (OVT Japan), King W. Yeung (OVT US), Shun Cheng Tien, Pei Hsiu Tseng (OVT Taiwan), Alan Chih-Wei Hsiung, Lindsay A. Grant (OVT US) |
In this paper we describe a 200Mpixel CMOS image sensor with 0.56um pixels implemented in a 28nm process. This pixel tec... [more] |
IST2023-41
pp.25-28 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Color difference generation system for game character illustration using U-Net
Aoi Maeda, Chen Qing, Hironobu Abe (Tokyo Denki Univ.) |
To partially process or change the color of a digital illustration, each part must have its own separate color layer. Ho... [more] |
AIT2023-115
pp.283-286 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Semiautomatic generation of vignette illustrations from video
-- Reflecting viewer preferences --
Mayu Namai, Issei Fujishiro (Keio Univ.) |
A variety of summarization techniques have recently been published to manage the growing volume of media data, but most ... [more] |
AIT2023-120
pp.301-304 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
16:20 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis
Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
13:28 |
Online |
Online |
A Study on automatic character illustration and pose generation system from walk through moving image
Takuto Tsukiyama, Mutsuo Sano (OIT) |
In recent years, with the development of machine learning, tools such as "SAI-chan" and "WAIFU LABS" that automatically ... [more] |
AIT2022-63
pp.99-102 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
11:00 |
Online |
online |
Illustration author style translation using SailormoonRedraw data
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui (UTokyo), Naohiro Yanase (BOOK WALKER), Kiyoharu Aizawa (UTokyo) |
The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latt... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
12:45 |
Online |
online |
Regularizing Generative Adversarial Networks with Internal Representation of Generators
Yusuke Hara, Toshihiko Yamasaki (UTokyo) |
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more] |
|
| 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 |
| ME |
2021-12-13
15:20 |
Online |
online |
Automatic Generation of Viewpoint Change Video Using Consistent Regularized Generative Adversarial Networks
Kento Otsu (Ritsumeikan Univ.), Masataka Seo (Osaka Institute of Technology Osaka), Yen-Wei Chen (Ritsumeikan Univ.) |
Gaze plays an important role in conversation. However, in a video call system using a personal computer or the like, it ... [more] |
ME2021-96
pp.33-35 |
| BCT, IEICE-CS, IPSJ-AVM, IEICE-IE [detail] |
2021-11-25
10:50 |
Online |
Online |
Acceleration of Neural Network Visualization RISE by Reduction of Masks
Tomoki Nakada, Imamura Kousuke (Kanazawa Univ.) |
Recently, various techniques have been proposed to visualize the basis for decisions in image recognition using neural n... [more] |
|
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
14:15 |
Online |
Online |
[Special Talk]
A Note on Electron Microscope Image Generation from Mix Proportion via Conditional Style Generative Adversarial Network for Rubber Materials
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. I... [more] |
MMS2021-22 ME2021-22 AIT2021-22
pp.171-175 |
| IIEEJ, AIT |
2020-09-17
15:54 |
Online |
|
Multi-view image generation from RGB-D data for dairy cow identification
Kazuki Wakida, Ryosuke Furuta, Yukinobu Taniguchi (TUS) |
In order to reduce human cost and monitor health conditions of dairy cows, we previously proposed a method for individua... [more] |
AIT2020-168
pp.23-26 |
| 3DMT, IEICE-SIS, IPSJ-AVM [detail] |
2020-06-03
13:00 |
Online |
G Square (Hakodate Community Plaza) |
Luminance-Independent Hue Image Generation Method Based on CIELAB Color Space
Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) |
In this paper, we propose luminance-independent hue-image generation method based on the CIELAB color space, from RAW im... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
16:20 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Note on Generation of Electron Microscope Images via Auxiliary Classifier Generative Adversarial Network with Mix Proportions
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we investigate a method for generation of images that represent the internal structure of rubber material... [more] |
MMS2020-21 HI2020-21 ME2020-49 AIT2020-21
pp.107-111 |
| IST |
2019-09-20
13:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Digital Pixel Image Sensors with Linear and Wide-Dynamic-Range Output Developed by Pixel-Wise 3-D Integration
Masahide Goto (NHK), Yuki Honda (NHK-ES), Toshihisa Watabe, Kei Hagiwara, Masakazu Nanba, Yoshinori Iguchi (NHK), Takuya Saraya, Masaharu Kobayashi (Univ. of Tokyo), Eiji Higurashi (AIST), Hiroshi Toshiyoshi, Toshiro Hiramoto (Univ. of Tokyo) |
We report digital pixel image sensors developed by using pixel-wise three-dimensional (3D) integration technology. Photo... [more] |
IST2019-47
pp.17-20 |
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
13:55 |
Nagasaki |
Fukue Culture Center |
Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) |
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
LinDA:Features Extraction and Classification of Line Segments for Semi-Automatic Generation of Cartoon Background Images
Megumi Nomura, Masanori Nakayama, Issei Fujishiro (Keio Univ.) |
For cartoon novices, it is effective to reuse as their background images, line drawing materials drawn and opened to the... [more] |
AIT2019-139
pp.315-318 |