21 citations · 43 across the 4 of their papers we have counts for
5 papers · 1 filter
Personalized Image Enhancement Featuring Masked Style Modeling
Satoshi Kosugi, Toshihiko Yamasaki
We address personalized image enhancement in this study, where we enhance input images for each user based on the user's preferred images. Previous methods apply the same preferred…
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter
Satoshi Kosugi, Toshihiko Yamasaki
In this study, we address local photo enhancement to improve the aesthetic quality of an input image by applying different effects to different regions. Existing photo enhancement…
Self-Play Reinforcement Learning for Fast Image Retargeting
Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang +1
In this study, we address image retargeting, which is a task that adjusts input images to arbitrary sizes. In one of the best-performing methods called MULTIOP, multiple retargetin…
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
Satoshi Kosugi, Toshihiko Yamasaki
This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into enhanced images in the absence of input-output image pairs.…
Object-Aware Instance Labeling for Weakly Supervised Object Detection
Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa
Weakly supervised object detection (WSOD), where a detector is trained with only image-level annotations, is attracting more and more attention. As a method to obtain a well-perfor…