Masayuki Tanaka

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Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array

In this paper, we propose a deep snapshot high dynamic range (HDR) imagi...
11/20/2020 ∙ by Takeru Suda, et al. ∙ 0 ∙ share

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Adaptive Future Frame Prediction with Ensemble Network

Future frame prediction in videos is a challenging problem because video...
11/13/2020 ∙ by Wonjik Kim, et al. ∙ 0 ∙ share

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Human Segmentation with Dynamic LiDAR Data

Consecutive LiDAR scans compose dynamic 3D sequences, which contain more...
10/16/2020 ∙ by Tao Zhong, et al. ∙ 0 ∙ share

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Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation

A division-of-focal-plane or microgrid image polarimeter enables us to a...
07/28/2020 ∙ by Miki Morimatsu, et al. ∙ 0 ∙ share

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Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

The usage of convolutional neural networks (CNNs) for unsupervised image...
07/20/2020 ∙ by Wonjik Kim, et al. ∙ 0 ∙ share

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Classifying degraded images over various levels of degradation

Classification for degraded images having various levels of degradation ...
06/15/2020 ∙ by Kazuki Endo, et al. ∙ 0 ∙ share

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Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training

In this paper, we propose an automatic labeled sequential data generatio...
03/11/2020 ∙ by Wonjik Kim, et al. ∙ 3 ∙ share

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Block-wise Scrambled Image Recognition Using Adaptation Network

In this study, a perceptually hidden object-recognition method is invest...
01/21/2020 ∙ by Koki Madono, et al. ∙ 17 ∙ share

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New Perspective of Interpretability of Deep Neural Networks

Deep neural networks (DNNs) are known as black-box models. In other word...
09/12/2019 ∙ by Masanari Kimura, et al. ∙ 0 ∙ share

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Breaking Inter-Layer Co-Adaptation by Classifier Anonymization

This study addresses an issue of co-adaptation between a feature extract...
06/04/2019 ∙ by Ikuro Sato, et al. ∙ 0 ∙ share

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Intentional Attention Mask Transformation for Robust CNN Classification

Convolutional Neural Networks have achieved impressive results in variou...
05/07/2019 ∙ by Masanari Kimura, et al. ∙ 0 ∙ share

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Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks

Convolutional Neural Networks have achieved impressive results in variou...
04/30/2019 ∙ by Masanari Kimura, et al. ∙ 0 ∙ share

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Improving Transparency of Deep Neural Inference Process

Deep learning techniques are rapidly advanced recently, and becoming a n...
03/13/2019 ∙ by Hiroshi Kuwajima, et al. ∙ 6 ∙ share

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Automatic Labeled LiDAR Data Generation based on Precise Human Model

Following improvements in deep neural networks, state-of-the-art network...
02/14/2019 ∙ by Wonjik Kim, et al. ∙ 0 ∙ share

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Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks

Image restoration from a single image degradation type, such as blurring...
12/23/2018 ∙ by Kazutaka Uchida, et al. ∙ 14 ∙ share

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Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network

An activation function has crucial role in a deep neural network. A si...
10/03/2018 ∙ by Masayuki Tanaka, et al. ∙ 22 ∙ share

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Gradient-Based Low-Light Image Enhancement

A low-light image enhancement is a highly demanded image processing tech...
09/25/2018 ∙ by Masayuki Tanaka, et al. ∙ 0 ∙ share

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Non-blind Image Restoration Based on Convolutional Neural Network

Blind image restoration processors based on convolutional neural network...
09/11/2018 ∙ by Kazutaka Uchida, et al. ∙ 0 ∙ share

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Network Analysis for Explanation

Safety critical systems strongly require the quality aspects of artifici...
12/07/2017 ∙ by Hiroshi Kuwajima, et al. ∙ 0 ∙ share

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Masayuki Tanaka

Featured Co-authors

mxo@ctrl.titech.ac.jp

Masanari Kimura

Asako Kanezaki

Yoko Sasaki

Yusuke Monno

Ikuro Sato

Hiroshi Kuwajima

Wonjik Kim

Guoqing Liu

Tetsuji Ogawa

Masaki Onishi

Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array

Adaptive Future Frame Prediction with Ensemble Network

Human Segmentation with Dynamic LiDAR Data

Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation

Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

Classifying degraded images over various levels of degradation

Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training

Block-wise Scrambled Image Recognition Using Adaptation Network

New Perspective of Interpretability of Deep Neural Networks

Breaking Inter-Layer Co-Adaptation by Classifier Anonymization

Intentional Attention Mask Transformation for Robust CNN Classification

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks

Improving Transparency of Deep Neural Inference Process

Automatic Labeled LiDAR Data Generation based on Precise Human Model

Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks

Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network

Gradient-Based Low-Light Image Enhancement

Non-blind Image Restoration Based on Convolutional Neural Network

Network Analysis for Explanation