71 citations · 304 across the 98 of their papers we have counts for
17 papers · 1 filter
Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency
Yuma Kinoshita, Hitoshi Kiya
We propose a novel intrinsic image decomposition network considering reflectance consistency. Intrinsic image decomposition aims to decompose an image into illumination-invariant a…
A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset
Kenta Iida, Hitoshi Kiya
In this paper, we propose a privacy-preserving image-retrieval scheme using a codebook generated by using a plain-image dataset. Encryption-then-compression (EtC) images, which wer…
Spatially varying white balancing for mixed and non-uniform illuminants
Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya
In this paper, we propose a novel white balance adjustment, called "spatially varying white balancing," for single, mixed, and non-uniform illuminants. By using n diagonal matrices…
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models
Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya
In this paper, we propose an access control method that uses the spatially invariant permutation of feature maps with a secret key for protecting semantic segmentation models. Segm…
A Protection Method of Trained CNN Model Using Feature Maps Transformed With Secret Key From Unauthorized Access
MaungMaung AprilPyone, Hitoshi Kiya
In this paper, we propose a model protection method for convolutional neural networks (CNNs) with a secret key so that authorized users get a high classification accuracy, and unau…
A universal detector of CNN-generated images using properties of checkerboard artifacts in the frequency domain
Miki Tanaka, Sayaka Shiota, Hitoshi Kiya
We propose a novel universal detector for detecting images generated by using CNNs. In this paper, properties of checkerboard artifacts in CNN-generated images are considered, and…
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access
Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya
Since production-level trained deep neural networks (DNNs) are of a great business value, protecting such DNN models against copyright infringement and unauthorized access is in a…
Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera
Yuma Kinoshita, Hitoshi Kiya
In this paper, we propose a novel method for separately estimating spectral distributions from images captured by a typical RGB camera. The proposed method allows us to separately…
A Protection Method of Trained CNN Model with Secret Key from Unauthorized Access
AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose a novel method for protecting convolutional neural network (CNN) models with a secret key set so that unauthorized users without the correct key set canno…
Block Scrambling Image Encryption Used in Combination with Data Augmentation for Privacy-Preserving DNNs
Tatsuya Chuman, Hitoshi Kiya
In this paper, we propose a novel learnable image encryption method for privacy-preserving deep neural networks (DNNs). The proposed method is carried out on the basis of block scr…
Generation of Gradient-Preserving Images allowing HOG Feature Extraction
Masaki Kitayama, Hitoshi Kiya
In this paper, we propose a method for generating visually protected images, referred to as gradient-preserving images. The protected images allow us to directly extract Histogram-…
Multi-color balance for color constancy
Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya
In this paper, we propose a novel multi-color balance adjustment for color constancy. The proposed method, called "n-color balancing," allows us not only to perfectly correct n tar…
Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key
MaungMaung AprilPyone, Hitoshi Kiya
In this paper, we propose a novel DNN watermarking method that utilizes a learnable image transformation method with a secret key. The proposed method embeds a watermark pattern in…
Transfer Learning-Based Model Protection With Secret Key
MaungMaung AprilPyone, Hitoshi Kiya
We propose a novel method for protecting trained models with a secret key so that unauthorized users without the correct key cannot get the correct inference. By taking advantage o…
Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learning
Kouki Seo, Yuma Kinoshita, Hitoshi Kiya
We propose a novel Retinex image-decomposition network that can be trained in a self-supervised manner. The Retinex image-decomposition aims to decompose an image into illumination…
Fake-image detection with Robust Hashing
Miki Tanaka, Hitoshi Kiya
In this paper, we investigate whether robust hashing has a possibility to robustly detect fake-images even when multiple manipulation techniques such as JPEG compression are applie…
Multi-color balancing for correctly adjusting the intensity of target colors
Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya
In this paper, we propose a novel multi-color balance method for reducing color distortions caused by lighting effects. The proposed method allows us to adjust three target-colors…