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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...
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Adaptive Future Frame Prediction with Ensemble Network
Future frame prediction in videos is a challenging problem because video...
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Human Segmentation with Dynamic LiDAR Data
Consecutive LiDAR scans compose dynamic 3D sequences, which contain more...
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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...
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Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
The usage of convolutional neural networks (CNNs) for unsupervised image...
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Classifying degraded images over various levels of degradation
Classification for degraded images having various levels of degradation ...
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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...
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Block-wise Scrambled Image Recognition Using Adaptation Network
In this study, a perceptually hidden object-recognition method is invest...
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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...
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Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
This study addresses an issue of co-adaptation between a feature extract...
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Intentional Attention Mask Transformation for Robust CNN Classification
Convolutional Neural Networks have achieved impressive results in variou...
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Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
Convolutional Neural Networks have achieved impressive results in variou...
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Improving Transparency of Deep Neural Inference Process
Deep learning techniques are rapidly advanced recently, and becoming a n...
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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...
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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...
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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...
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Gradient-Based Low-Light Image Enhancement
A low-light image enhancement is a highly demanded image processing tech...
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Non-blind Image Restoration Based on Convolutional Neural Network
Blind image restoration processors based on convolutional neural network...
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Network Analysis for Explanation
Safety critical systems strongly require the quality aspects of artifici...
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