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20162025
most citedWould Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

83 citations · 182 across the 23 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

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…

cs.CV2018

Neural Joking Machine : Humorous image captioning

Kota Yoshida, Munetaka Minoguchi, Kenichiro Wani +2

What is an effective expression that draws laughter from human beings? In the present paper, in order to consider this question from an academic standpoint, we generate an image ca…

cs.CV2018

Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB

Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki +1

In this paper, we propose a novel approach for traffic accident anticipation through (i) Adaptive Loss for Early Anticipation (AdaLEA) and (ii) a large-scale self-annotated inciden…

cs.CV2018

Drive Video Analysis for the Detection of Traffic Near-Miss Incidents

Hirokatsu Kataoka, Teppei Suzuki, Shoko Oikawa +2

Because of their recent introduction, self-driving cars and advanced driver assistance system (ADAS) equipped vehicles have had little opportunity to learn, the dangerous traffic (…