17 citations · 19 across the 9 of their papers we have counts for
6 papers · 1 filter
Unsupervised Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training
Shogo Sato, Takuhiro Kaneko, Kazuhiko Murasaki +3
Unsupervised intrinsic image decomposition (IID) is the process of separating a natural image into albedo and shade without these ground truths. A recent model employing light dete…
Selective Scene Text Removal
Hayato Mitani, Akisato Kimura, Seiichi Uchida
Scene text removal (STR) is the image transformation task to remove text regions in scene images. The conventional STR methods remove all scene text. This means that the existing m…
Deep Attentive Time Warping
Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan +4
Similarity measures for time series are important problems for time series classification. To handle the nonlinear time distortions, Dynamic Time Warping (DTW) has been widely used…
Toward Defensive Letter Design
Rentaro Kataoka, Akisato Kimura, Seiichi Uchida
A major approach for defending against adversarial attacks aims at controlling only image classifiers to be more resilient, and it does not care about visual objects, such as panda…
Deep Quantigraphic Image Enhancement via Comparametric Equations
Xiaomeng Wu, Yongqing Sun, Akisato Kimura
Most recent methods of deep image enhancement can be generally classified into two types: decompose-and-enhance and illumination estimation-centric. The former is usually less effi…
Fully automatic extraction of salient objects from videos in near real-time
Akamine Kazuma, Ken Fukuchi, Akisato Kimura +1
Automatic video segmentation plays an important role in a wide range of computer vision and image processing applications. Recently, various methods have been proposed for this pur…