1 code implementation • 12 Feb 2024 • David Selby, Kai Spriestersbach, Yuichiro Iwashita, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Muhammad Nabeel Asim, Koichi Kise, Sebastian Vollmer
Large language models (LLMs) have been extensively studied for their abilities to generate convincing natural language sequences, however their utility for quantitative information retrieval is less well understood.
no code implementations • 15 Feb 2021 • Shoya Ishimaru, Takanori Maruichi, Andreas Dengel, Koichi Kise
(2) With the help of 20 participants, we observed that correct answer rates of questions were increased by 14% and 17% by giving feedback about correct answers without confidence and incorrect answers with confidence, respectively.
no code implementations • 28 Aug 2020 • Ryota Akai, Yuzuko Utsumi, Yuka Miwa, Masakazu Iwamura, Koichi Kise
Because conventional object counting methods cannot handle the distortion of omnidirectional images, we propose to process them using stereographic projection, which enables conventional methods to obtain a good approximation of the density function.
no code implementations • 8 Nov 2018 • Marco Stricker, Olivier Augereau, Koichi Kise, Motoi Iwata
The topic of facial landmark detection has been widely covered for pictures of human faces, but it is still a challenge for drawings.
no code implementations • 16 Apr 2018 • Olivier Augereau, Motoi Iwata, Koichi Kise
We propose in this paper to review the previous research about comics in computer science, to state what have been done and to give some insights about the main outlooks.
Multimedia
5 code implementations • 7 Feb 2018 • Yoshihiro Yamada, Masakazu Iwamura, Takuya Akiba, Koichi Kise
In this paper, to relieve the overfitting effect of ResNet and its improvements (i. e., Wide ResNet, PyramidNet, and ResNeXt), we propose a new regularization method called ShakeDrop regularization.
no code implementations • ICLR 2018 • Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise
This paper proposes a powerful regularization method named \textit{ShakeDrop regularization}.
no code implementations • 20 Jan 2017 • Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya, Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, Koichi Kise
The proposed method uses strokes from given samples for font generation.
no code implementations • 5 Dec 2016 • Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise
On general object recognition, Deep Convolutional Neural Networks (DCNNs) achieve high accuracy.
no code implementations • 4 May 2016 • Sheraz Ahmed, Muhammad Imran Malik, Muhammad Zeshan Afzal, Koichi Kise, Masakazu Iwamura, Andreas Dengel, Marcus Liwicki
The method is generic, language independent and can be used for generation of labeled documents datasets (both scanned and cameracaptured) in any cursive and non-cursive language, e. g., English, Russian, Arabic, Urdu, etc.
no code implementations • 29 Mar 2016 • Masakazu Iwamura, Masataka Konishi, Koichi Kise
The existing methods for the problem are, however, useless in a large-scale problem with a large number of subspaces and high dimensionality of the feature space.