Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
2022-09-22 16:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumei Univ) |
CMOS image sensors are expected to be integrated with AI using deep learning for new technologies. Our research group ha... [more] |
IST2022-39 pp.21-24 |
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 |
HI |
2022-03-23 13:35 |
Online |
|
Effects of animacy perception and negative emotion on pattern detection Yukoh Kida (Ritsumeikan), Yuta Ujiie (Ritsumeikan/JSPS), Kosuke Takahashi (Ritsumeikan) |
[more] |
HI2022-13 pp.17-20 |
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 13:00 |
Online |
online |
Improved Mask R-CNN with deformable convolutions for accurate liver lesion detection in CT images LEE Chan-yu, Yiwamato Yutaro, Yenwei Chen (Ritsumei Uni.) |
[more] |
ME2021-92 pp.17-19 |
ME |
2021-12-13 13:30 |
Online |
online |
Fusion model using MRI-based radiomics with deep learning feature for glioma IDH mutation predicting Shi Xiaoyu, Zhang Xinran, Yiwamoto Yutaro (Ritsu Univ.), Jingliang Cheng, Jie Bai, Guohua Zhao (Department of Magnetic Resonance Imaging, The First Affiliated H), Chen yenwei (Ritsu Univ.) |
According to the 2016 World Health Organization classification scheme for gliomas, Isocitrate
dehydrogenase(IDH) statu... [more] |
ME2021-93 pp.21-24 |
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 |
IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17 14:20 |
Online |
Online |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (2)
-- An A/D Converter with Low-Resolution and Power-Saving Operation Mode -- Koshiro Itsuki, Shunsuke Okura (Ritsumeikan Univ.) |
With the progress of the IoT and the Trillion Sensor Universe,the amount of information collected by CMOS image sensors ... [more] |
IST2021-44 pp.35-40 |
IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17 14:45 |
Online |
Online |
Image Recognition of HDR Images with Dual Gain CMOS Image Sensor Takuya Kitamura, Kota Yoshida, Tetsushi Ikeda (Ritsumeikan Univ.), Shinichi Ikenaga, Isao Takayanagi (Brillnics), Shunsuke Okura (Ritsumeikan Univ.) |
High dynamic range (HDR) CMOS image sensors are expected to be used for machine vision applications for recognition unde... [more] |
IST2021-45 pp.41-45 |