45 citations · 188 across the 27 of their papers we have counts for
27 papers
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…
Reflectance-Oriented Probabilistic Equalization for Image Enhancement
Xiaomeng Wu, Yongqing Sun, Akisato Kimura +1
Despite recent advances in image enhancement, it remains difficult for existing approaches to adaptively improve the brightness and contrast for both low-light and normal-light ima…
ConceptBeam: Concept Driven Target Speech Extraction
Yasunori Ohishi, Marc Delcroix, Tsubasa Ochiai +6
We propose a novel framework for target speech extraction based on semantic information, called ConceptBeam. Target speech extraction means extracting the speech of a target speake…