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Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
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
MVE 2021-09-17
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
AI 2018-12-08
Fukuoka   A wedding hall recommender system based on the information-gathering process of a cold start user
Yuta Yamashita, Junichiro Mori (The Univ of Tokyo) AI2018-33
ItisanimportantissueinaWebservicetopredictuser’sconversionfromtheactionhistory.InWedding services, few users make reserv... [more] AI2018-33
NLC, IPSJ-IFAT 2017-02-10
Osaka   Extractive Summarization of Financial Statement Using Multi-Task Learning
Masaru Isonuma, Toru Fujino, Jumpei Ukita, Haruka Murakami, Kimitaka Asatani, Junichiro Mori, Ichiro Sakata (UTokyo) NLC2016-47
In this paper, we proposed a methodology of summarizing financial statements which contributes to high quality investmen... [more] NLC2016-47
NLC 2015-09-10
Tokyo Convention Room AP Shibuya-Dogenzaka (Tokyo) Predicting Customer-Supplier Relationships using Text Information
Ryo Ito, Junichiro Mori (Tokyo Univ.) NLC2015-24
Analytical lens of the concept of business ecosystem has clarified strategies and behaviors of actors em- bedded in busi... [more] NLC2015-24
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