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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
QIT
(2nd)		 2023-12-17
17:30		 Okinawa OIST
(Primary: On-site, Secondary: Online)		 [Poster Presentation] Development of Scalable Telecom-Band Nanofiber Cavity QED
Shinichi Sunami (NanoQT/Oxford), Jun Ikeda (Caltech/NanoQT), Ryotaro Inoue, Hideki Konishi, Shinya Kato, Akihisa Goban (NanoQT) 		 [more]
CQ, IMQ, MVE, IE
(Joint) [detail]		 2022-03-09
09:45		 Online Online (Zoom) Improving Weakly Supervised Instance Segmentation by Encoding Motion Information via Optical Flow
Jun Ikeda, Junichiro Mori (UT) IMQ2021-15 IE2021-77 MVE2021-44		 Weakly supervised instance segmentation is an important task that can significantly reduce the annotation cost of model ... [more] IMQ2021-15 IE2021-77 MVE2021-44
pp.27-32
MVE 2021-09-17
14:30		 Online Online Improving Mask Generation Accuracy Exploiting Optical Flow in Weakly Supervised Instance Segmentation
Jun Ikeda, Junichiro Mori (UTokyo) MVE2021-15		 Weakly supervised instance segmentation is important because it reduces the huge pixel-level annotation cost required to... [more] MVE2021-15
pp.38-43
IE, IMQ, MVE, CQ
(Joint) [detail]		 2020-03-05
09:45		 Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)		 Predicting the online video advertising effectiveness with multimodal deep learning
Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2019-41 IE2019-123 MVE2019-62		 In this research, we propose a method for predicting the Click Through Rate of video ads and analyzing the factors that ... [more] IMQ2019-41 IE2019-123 MVE2019-62
pp.133-136
 Results 1 - 4 of 4  /   
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