| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IST |
2023-09-15
14:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Dual conversion gain scheme for small pixel CMOS Image Sensor
Ayaka Banno, Kazuki Tatsuta, Ai Otani, Shunsuke Okura (Ritsumeikan Univ.), Ken Miyauchi, Yuki Morikawa, Sangman Han, Hideki Owada, Isao Takayanagi (Brillnics) |
High Dynamic Range (HDR) CMOS image sensors are required for the use under extreme-illminated environments such as outdo... [more] |
IST2023-43
pp.33-36 |
| IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] |
2023-05-19
15:15 |
Mie |
Sansui Hall, Mie University
(Primary: On-site, Secondary: Online) |
Object Detection with Split Images Based on Signal Range for Single Exposure High Dynamic Range Image Sensors
Yuta Nakahigashi, Yu Osuka, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
In this paper, we study object detection with split images based on signal range for single exposure high dynamic range... [more] |
IST2023-15 ME2023-58
pp.13-18 |
| IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] |
2023-05-19
15:45 |
Mie |
Sansui Hall, Mie University
(Primary: On-site, Secondary: Online) |
On-Chip Data Reduction and Object Detection for a Feature Extractable CMOS Image Sensor
Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
Society 5.0, in which information from sensors in physical space is analyzed by artificial intelligence (AI) in cyberspa... [more] |
IST2023-16 ME2023-59
pp.19-24 |
| IST |
2022-12-12
14:20 |
Shizuoka |
Sanaru Hall |
[Poster Presentation]
An area efficient readout circuit for CMOS Image Sensor With Lateral Overflow Integration Capacitor
Ai Otani, Hiroaki Ogawa (Ritsumeikan Univ.), Ken Miyauchi, Sangman Han, Hideki Owada, Isao Takayanagi (Brillnics), Shunsuke Okura (Ritsumeikan Univ.) |
A lateral overflow integration capacitor (LOFIC) CMOS image sensor (CIS) can realize high dynamic range (HDR) imaging wi... [more] |
IST2022-53
pp.41-42 |
| IST |
2022-12-12
14:20 |
Shizuoka |
Sanaru Hall |
[Poster Presentation]
A Variable-Resolution SAR ADC with 10-bit Image Capturing Mode and 5-bit Feature Extraction Mode
Itsuki Koshiro, Otani Ai, Ogawa Hiroaki, Okura Shunsuke (Ritsumeikan Univ.) |
[more] |
IST2022-54
pp.43-44 |
| ME, SIP, TOKAI |
2022-12-07
10:25 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Short Paper]
Three Methods for Generation of High-Resolution Facial Expression Images Using Generative Adversarial Network and Super-Resolution Techniques
Tatsuya Hanano (Ritsumeikan Univ.), Masataka Seo (Osaka Institute of Technology Univ.), Yen-Wei Chen (Ritsumeikan Univ.) |
[more] |
ME2022-87 SIP2022-6
pp.5-8 |
| ME, SIP, TOKAI |
2022-12-07
10:50 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Short Paper]
3D Facial Recognition for Genetic Studies based on PointNet++
Kazuma Okada, Takuma Terada, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Fujita Health University), Ryosuke Kimura (Ryukyu Univ.), Yen Wei Chen (Ritsumeikan Univ.) |
Recently, the development of genetic research has found a relationship between human face shape and genes. By analyzing ... [more] |
ME2022-88 SIP2022-7
pp.9-11 |
| ME, SIP, TOKAI |
2022-12-07
13:35 |
Aichi |
(Primary: On-site, Secondary: Online) |
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training
Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI) |
For the purpose of developing the automatic diagnosis system of players' golf swing, we propose a method for estimating ... [more] |
ME2022-91 SIP2022-10
pp.23-26 |
| IIEEJ, AIT |
2022-10-30
15:40 |
Online |
on line |
A Prototype System of Character Recognition on Electronic Substrates for Efficient Recycling
Shunto Narita, Tomonori Izumi (Ritsumeikan Univ.) |
[more] |
AIT2022-176
pp.15-18 |
| IIEEJ, AIT |
2022-10-30
16:00 |
Online |
on line |
A Trial of Recognition of Electronic Parts by Deep-Learning for Efficient Recycling
Yihong Tang, Tomonori Izumi (Ritsumeikan Univ.) |
In order to improve material-recycling of disposed electronic appliances, we aim to develop a system to analyze and cate... [more] |
AIT2022-177
pp.19-22 |
| IST |
2022-06-29
14:00 |
Online |
|
Branching Image Sensors with Dominant Horizontal Motion of Electrons
Takayoshi Shimura, Nguyen Hoai Ngo, Heiji Watanabe (Osaka Univ.), Kazuhiro Shimonomura (Ritsumeikan Univ.), Hideki Mutoh (Link Research), Takeharu Goji Etoh (Osaka Univ.) |
[more] |
IST2022-27
pp.9-12 |
| IST |
2022-03-28
11:35 |
Online |
|
A branching gate image sensor with a central resistive gate
Takeharu Goji Etoh (Osaka Univ.), Ngo Hoai Nguyen (Ritsumeikan Univ.), Heiji Watanabe (Osaka Univ.), Takayoshi Shimura, Yoshiyuki Matsunaga, Yutaka Hirose (Ritsumeikan Univ.), Hideki Mutoh (Link Research), Kazuhiro Shimonomura (Ritsumeikan Univ.) |
A BSI branching gate (multi-tap) image sensor has a wide octagonal center gate at the center of the pixel. Electrons fal... [more] |
IST2022-15
pp.21-24 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
12:52 |
Online |
Online |
Thermal Synthetic Aperture Image De-fencing by Temperature Compensation
Miyuki Matsuda (Tokai Univ.), Kenichiro Tanaka (Ritsumeikan Univ.), Takuya Funatomi, Yasuhiro Mukaigawa (NAIST), Hiroyuki Kubo (Tokai Univ.) |
Thermal cameras use far-infrared light, which is emitted in response to the temperature of an object, to make measuremen... [more] |
AIT2022-75
pp.145-146 |
| HI, IEICE-HIP, ASJ-H, VRPSY [detail] |
2022-02-28
10:10 |
Online |
on line |
Effect of visual processing of gender stereotypes on food examined by inversion effect in semantic priming
Miho Sakurai (Ritsumeikan Univ.), Atsushi Kimura (Nihon Univ.), Yuji Wada (Ritsumeikan Univ.) |
Kimura et al, (2009, 2012) reported that gender stereo-types (GS) on food by using a semantic priming task. In this stud... [more] |
|
| ME |
2021-12-13
14:00 |
Online |
online |
Emotion Recognition from Gait Using Attention Spatial-Temporal Graph Convolutional Network
Shoji Kisita, Chen Yen-Wei (Ritsumeikan Univ.), Tomoko Tateyama (Shiga Univ.), Yutaro Iwamoto, Liu Jiaqing, Chai Shurong (Ritsumeikan Univ.) |
3D pose recognition is a technology that has been used in many fields, including touchless operation in the medical fiel... [more] |
ME2021-94
pp.25-28 |
| ME |
2021-12-13
14:50 |
Online |
online |
Latent expression separation using the locality of changes in the real image
Toshiki Hazama (Ritsumeikan Univ.), Masataka Seo (OIT), Yen-Wei Chen (Ritsumeikan Univ.) |
GAN, a deep generative model, makes a great contribution to the image generation task. However, one of the problems that... [more] |
ME2021-95
pp.29-31 |
| 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 |
| IST |
2021-11-25
15:40 |
Online |
Online |
[Invited Talk]
Imaging through fog using multi-tap Time-of-Flight camera
Takahiro Kushida, Daiki Kijima, Hiromu Kitajima (NAIST), Kenichiro Tanaka (Ritsumeikan Univ.), Hiroyuki Kubo (Tokai Univ.), Takuya Funatomi, Yasuhiro Mukaigawa (NAIST) |
[more] |
IST2021-66
pp.23-30 |
| IST |
2021-10-21
15:20 |
Online |
|
An Approach to Super Temporal Resolution by Controlling Horizontal Motions of Electrons
T. Goji Etoh (Osaka Univ.), Nguyen Hoai Go, Kazuhiro Shimonomura, Taeko Ando, Yoshiyuki Matsunaga (Ritsumeikan Univ.), Takayoshi Shimura, Heiji Watanabe (Osaka Univ.), Hideki Mutoh (Link Research), Yoshinari Kamakura (OIT), Edoardo Sharbon (ローザンヌ工大) |
[more] |
IST2021-60
pp.49-52 |
| IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17
13:55 |
Online |
Online |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (1)
-- Verification of Image Classification Using Low Bit-Resolution Feature Images --
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
Currently, CMOS image sensors are expected to be integrated with AI using deep learning to create new technologies.
C... [more] |
IST2021-43
pp.29-33 |