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09/13/2022
Two-Step Color-Polarization Demosaicking Network
Polarization information of light in a scene is valuable for various ima...
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07/05/2022
PoF: Post-Training of Feature Extractor for Improving Generalization
It has been intensively investigated that the local shape, especially fl...
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07/23/2021
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
The combined use of multiple modalities enables accurate pedestrian dete...
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07/22/2021
Geometric Data Augmentation Based on Feature Map Ensemble
Deep convolutional networks have become the mainstream in computer visio...
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11/20/2020
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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11/13/2020
Adaptive Future Frame Prediction with Ensemble Network
Future frame prediction in videos is a challenging problem because video...
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10/16/2020
Human Segmentation with Dynamic LiDAR Data
Consecutive LiDAR scans compose dynamic 3D sequences, which contain more...
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07/28/2020
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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07/20/2020
Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
The usage of convolutional neural networks (CNNs) for unsupervised image...
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06/15/2020
Classifying degraded images over various levels of degradation
Classification for degraded images having various levels of degradation ...
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03/11/2020
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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01/21/2020
Block-wise Scrambled Image Recognition Using Adaptation Network
In this study, a perceptually hidden object-recognition method is invest...
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09/12/2019
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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06/04/2019
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
This study addresses an issue of co-adaptation between a feature extract...
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05/07/2019
Intentional Attention Mask Transformation for Robust CNN Classification
Convolutional Neural Networks have achieved impressive results in variou...
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04/30/2019
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
Convolutional Neural Networks have achieved impressive results in variou...
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03/13/2019
Improving Transparency of Deep Neural Inference Process
Deep learning techniques are rapidly advanced recently, and becoming a n...
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02/14/2019
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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12/23/2018
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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10/03/2018
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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09/25/2018
Gradient-Based Low-Light Image Enhancement
A low-light image enhancement is a highly demanded image processing tech...
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09/11/2018
Non-blind Image Restoration Based on Convolutional Neural Network
Blind image restoration processors based on convolutional neural network...
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12/07/2017