Naoto Inoue (井上直人)

3rd year Ph.D. student
The University of Tokyo
Tokyo, Japan

inoue at hal.t.u-tokyo.ac.jp
[GitHub] [Google Scholar] [CV] [Linkedin]


I'm working with Prof. Toshihiko Yamasaki and Prof. Kiyoharu Aizawa at Aizawa-Yamasaki-Matsui Lab. My research interests are in computer vision, machine learning, deep learning, graphics, and image processing.


News

[Feb. 2020] One paper is accepted to Computer Graphics Forum (proc. of EuroGraphics 2020).
[Dec. 2019] Our project to generate expressive lines is presented at Sneak Preview in Adobe Max Japan!
[Aug. 2019] One paper is accepted to Computer Graphics Forum (proc. of Pacific Graphics 2019).
[Jan. 2019] In summer 2019, I will intern in Adobe Research again.


Selected Publications

RGB2AO: Ambient Occlusion Generation from RGB Images
Naoto Inoue, Daichi Ito, Yannick Hold-Geoffroy, Long Mai, Brian Price, Toshihiko Yamasaki
In Computer Graphics Forum (proc. of Eurographics 2020).
[Paper] [Paper(GDrive)] [Supp.] [Bibtex] [Video]
Learning to Trace: Expressive Line Drawing Generation from Photographs
Naoto Inoue, Daichi Ito, Ning Xu, Jimei Yang, Brian Price, Toshihiko Yamasaki
In Computer Graphics Forum (proc. of Pacific Graphics 2019).
[Paper] [Paper(GDrive)] [Slide] [Bibtex] [Video]
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki
In AAAI, 2019.
[Project] [Paper] [Code] [Bibtex]
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki and Kiyoharu Aizawa
In CVPR, 2018.
[Project] [Paper] [Code/Dataset] [Poster] [Slide(ja)] [Bibtex]

Acknowledgement

This webpage template was borrowed from Richard Zhang's website.