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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:20 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition Shuya Takahashi (Tokyo Denki Univ./AIST), Nakamasa Inoue, Rio Yokota (Tokyo Tech), Hirokatsu Kataoka (AIST), Eisaku Maeda (Tokyo Denki Univ.) |
(To be available after the conference date) [more] | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Texture Reproduction of Ultrasonic Mid-Air Haptics Based on Amplitude Modulation Signal Generation Using Fricative Sounds Feature Extraction and Hand Tracking Asuto Ueda, Toru Takahashi, Masato Nakayama (Osaka Sangyo Univ.) |
(To be available after the conference date) [more] | |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 10:15 |
Hokkaido | Hokkaido Univ. | Text - Image Fashion Retrieval with Textural Features Daichi Suzuki (Tokyo Univ.), Go Irie (Tokyo Univ of Science), Kiyoharu Aizawa (Tokyo Univ.) |
(To be available after the conference date) [more] | |
| MRIS, CPM, ITE-MMS [detail] | 2022-10-28 10:45 |
Nagano | Shinshu Univ. (Primary: On-site, Secondary: Online) |
Electric field induced motion of magnetic skyrmions and the transformation of topological spin textures Xiaoxi Liu (Shinshu Univ.)  MRIS2022-15 CPM2022-46 |
Ultra low energy control of spin textures is the foundation for information technology. Magnetic skyrmions, magnetic vor... [more] | MRIS2022-15 CPM2022-46 pp.37-42 |
| PRMU | 2022-10-21 15:40 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Action Recognition of Anime Ayako Sakuma, Naoshi Kaneko, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2022-28 |
This paper presents an action recognition method for anime characters. Since existing action recognition datasets focus... [more] |
PRMU2022-28 pp.35-40 |
| TL | 2022-03-13 14:10 |
Online | Online | The Japanese Language of Food: Challenges in English Translation
-- Relationship Between Foods and Delicious Expressions Using Texture Onomatopoeia -- Nami Fukutome (Tokyo Seiei College), Lucy Takato (Translator) TL2021-39 |
The purpose of this study is to focus on onomatopoeia used to express the state of food, especially related to texture, ... [more] | TL2021-39 pp.43-44 |
| HIP, ITE-HI, ASJ-H, VRPSY [detail] | 2022-02-28 11:10 |
Online | Online | Effects of color attributes on visual texture perception of food Jiayun Chen, Katsunori Okajima (YNU) HIP2021-69 |
(To be available after the conference date) [more] | HIP2021-69 pp.58-61 |
| US | 2022-01-25 14:20 |
Online | Online | Application of Ultrasonic Vibration to Creating Texture Technology Shigeru Aoki (TMCIT), Yasunori Sakai (SIT), Tomohisa Tanaka (TIT) US2021-63 |
The purpose of the study is to develop a machining technology to create texture with high precision and efficiency on la... [more] | US2021-63 pp.28-33 |
| NC, MBE (Joint) |
2021-03-03 13:50 |
Online | Online | Analysis of deep convolutional neural network texture representation using Portilla-Simoncelli statistics Yusuke Hamano, Hayaru Shouno (UEC) NC2020-48 |
Recently, DCNN has achieved significant success in the field of computer vision. It is suggested that the DCNN, which ar... [more] | NC2020-48 pp.31-36 |
| HIP, VRSJ | 2021-02-18 14:55 |
Online | Online | Rendering method to reproduce the quality of projected object in projected AR Xie Jun, Katsunori Okajima (Yokohama National Univ.) HIP2020-78 |
In this paper, we propose a rendering method that improves the texture of an object in a projected image for high-precis... [more] | HIP2020-78 pp.28-33 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 15:40 |
Online | Online | Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] | |
| MBE, NC (Joint) |
2020-12-18 13:00 |
Online | Online | Generating haptic sensations for various ground textures to the sole Yoshiya Nakamura, Hiroki Imamura (Soka Univ.) MBE2020-19 |
Virtual Reality (VR) plays an important role in various situations such as simulation and training. In recent years, hap... [more] | MBE2020-19 pp.1-4 |
| SDM | 2020-10-22 10:50 |
Online | Online | High capacitance density high breakdown voltage textured deep trench SiN capacitors toward 3D integration Koga Saito, Ayano Yoshida, Rihito Kuroda (Tohoku Univ.), Hiroshi Shibata, Taku Shibaguchi, Naoya kuriyama (LAPIS Semiconductor Miyagi), Shigetoshi Sugawa (Tohoku Univ.) SDM2020-15 |
High capacitance density and High breakdown voltage textured deep trench SiN capacitors are presented. The developed cap... [more] | SDM2020-15 pp.7-11 |
| MVE | 2020-09-09 14:00 |
Online | Online | Shitsukan Representation Based on Kansei Model Using Neural Style Feature Natsuki Sunda, Iori Tani (Kwansei Gakuin Univ.), Kensuke Tobitani (The Univ. of Nagasaki), Atsushi Takemoto, Yusuke Tani, Noriko Nagata (Kwansei Gakuin Univ.), Nobufumi Morita (Couture Digital) MVE2020-18 |
In this research, we focus on affective texture, which comprises the visual impressions evoked by surface properties, su... [more] | MVE2020-18 pp.38-43 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 11:35 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55 |
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] | IMQ2019-34 IE2019-116 MVE2019-55 pp.93-96 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 16:35 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] | |
| MI | 2020-01-30 15:10 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120 |
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] | MI2019-120 pp.235-236 |
| IMQ | 2019-12-20 16:20 |
Tokyo | A Preliminary Study on BTF Image Database Generation using Deep Learning Naoki Tada, Keita Hirai (Chiba Univ.) IMQ2019-10 |
A method using Bidirectional Texture Function (BTF) is one of the methods to reproduce a realistic image in Computer Gra... [more] | IMQ2019-10 pp.3-8 |
|
| CPM, LQE, ED | 2019-11-22 10:00 |
Shizuoka | Shizuoka Univ. (Hamamatsu) | Experimental study on the antireflection nanotexture for organic photovoltaics Kenta Hiraga, Shigeru Kubota, Kensaku Kanomata, Bashir Ahmmad (Yamagata Univ.), Jun Mizuno (Waseda Univ.), Fumihiko Hirose (Yamagata Univ.) ED2019-48 CPM2019-67 LQE2019-91 |
Organic solar cells have attracted a lot of attention as the energy supply devices for near future, because they have su... [more] | ED2019-48 CPM2019-67 LQE2019-91 pp.65-68 |
| MBE, NC | 2019-10-11 15:00 |
Miyagi | Analysis of diffuse lung disease shadows using Bolasso feature selection method Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24 |
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images. Since various patte... [more] |
MBE2019-33 NC2019-24 pp.23-27 |
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