activity
20182022
most citedSelf-Supervised Learning for Visual Summary Identification in Scientific Publications

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge

Shintaro Yamamoto, Hirokatsu Kataoka, Ryota Suzuki +2

The present paper introduces a group activity involving writing summaries of conference proceedings by volunteer participants. The rapid increase in scientific papers is a heavy bu…

cs.CV2021

Describing and Localizing Multiple Changes with Transformers

Yue Qiu, Shintaro Yamamoto, Kodai Nakashima +4

Change captioning tasks aim to detect changes in image pairs observed before and after a scene change and generate a natural language description of the changes. Existing change ca…

cs.IR20211 cited

Self-Supervised Learning for Visual Summary Identification in Scientific Publications

Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto +2

Providing visual summaries of scientific publications can increase information access for readers and thereby help deal with the exponential growth in the number of scientific publ…

cs.CV2018

Automatic Paper Summary Generation from Visual and Textual Information

Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki +2

Due to the recent boom in artificial intelligence (AI) research, including computer vision (CV), it has become impossible for researchers in these fields to keep up with the expone…

cs.CV2018

Understanding Fake Faces

Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara +3

Face recognition research is one of the most active topics in computer vision (CV), and deep neural networks (DNN) are now filling the gap between human-level and computer-driven p…