59 citations · 171 across the 24 of their papers we have counts for
6 papers · 1 filter
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…
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…
Reflectance-Guided, Contrast-Accumulated Histogram Equalization
Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino
Existing image enhancement methods fall short of expectations because with them it is difficult to improve global and local image contrast simultaneously. To address this problem,…
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan +4
Deep time series metric learning is challenging due to the difficult trade-off between temporal invariance to nonlinear distortion and discriminative power in identifying non-match…
Generative Adversarial Image Synthesis with Decision Tree Latent Controller
Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
This paper proposes the decision tree latent controller generative adversarial network (DTLC-GAN), an extension of a GAN that can learn hierarchically interpretable representations…
A stochastic model of human visual attention with a dynamic Bayesian network
Akisato kimura, Derek Pang, Tatsuto Takeuchi +3
Recent studies in the field of human vision science suggest that the human responses to the stimuli on a visual display are non-deterministic. People may attend to different locati…