D2 Ohkawara made a presentation and we conducted a lab tour titled “Human-centric CG” at FIT2022 held on Yagami campus. FIT2022 home page: https://www.ipsj.or.jp/event/fit/fit2022/index.html
A paper on an authoring tool called HYDRO for interactive hybrid-image digital signage was presented by M. Nakayama, a research fellow, at CGI 2022. Masanori Nakayama, Karin Uchino, Ken Nagao, Issei Fujishiro: “HYDRO: Optimizing interactive hybrid images for digital signage Read more…
On August 31st~September 2nd, 2022, The 50th Annual Conference of the Institute of Image Electronics Engineers of Japan was held in Shiretoko, Hokkaido. At the conference, the following paper received Excellent Paper Award, and Keita Tokunaga (D1) received Nishita Award: Read more…
Prof. Fujishiro started serving as an associate editor for a new Elsevier Journal, Computers & Education: X Reality (CEXR), which is a sister journal of Computers & Education. See more details here.
At the 2nd IEICE Junior Webinar DAY dated 17 August, 2022, Prof. Fujishiro delivered an invited talk on CG, entitled “Construction of a naked-eye stereoscopic viewer combined with optical illusions.” See more details here.
On August 10th, 2022, the 50th Symposium on Visualization in Japan was held in Kogauin Univesity, where Kengo Honda recieved the Best Presentation Award. Kengo Honda, Hiroshi Kobayashi, Takafumi Saito, Issei Fujishiro: “Smart visualization of time series data,” in Proceedings of the 50th Symposium Read more…
On June 29th-30th, 2022, the VRSJ SIG on Cyberspaces and Virtual Cities 76th Meeting was held in Kofu, Yamanashi, where a Cyberspace Research Award was given to the following report on the computational ophthalmology project: Lina Chen, Changtong Mao, Kentaro Read more…
On June 27th, 2022, the IPSJ SIG on Computer Graphics and Visual Informatics 186th Meeting was held online. At the end of the meeting, Riwano Ikeda (M2) and Yuki Nishidate (M1) received their FY2021 CGVI Awards: Riwano Ikeda, Issei Fujsihiro: Read more…
A paper on a data visualizer FORSETI developed in the KAKENHI Project on computational forensics was published in Elsevier Journal of Visual Informatics. The new version of the system was incorporated forensics-specific data provenance management functionalities: Baoqing Wang, Noboru Adachi, Read more…