An inverse tone mapping operator based on Reinhard's global operator. - Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (ISPACS, 2016)

Quality improvement of tone mapped images by TMQI-II based optimization for the JPEG XT standard. - Artit Visavakitcharoen; Yuma Kinoshita; Hiroyuki Kobayashi; Hitoshi Kiya (ISPACS, 2016)

An Remapping Operation without Tone Mapping Parameters for HDR Images. - Yuma Kinoshita; Sayaka Shiota; Masahiro Iwahashi; Hitoshi Kiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Pseudo multi-exposure fusion using a single image. - Yuma Kinoshita; Taichi Yoshida; Sayaka Shiota; Hitoshi Kiya (APSIPA, 2017)

Fast inverse tone mapping with Reinhard's global operator. - Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (ICASSP, 2017)

Reinhard's global operator based inverse tone mapping with one parameter. - Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (IWSDA, 2017)

Fast Inverse Tone Mapping Based on Reinhard's Global Operator with Estimated Parameters. - Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Image Fusion for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures. - Chihiro Go; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (APSIPA, 2018)

An Image Segmentation Method Based on Luminance Distribution and Its Application to Image Enhancement. - Yuma Kinoshita; Hitoshi Kiya (APSIPA, 2018)

Privacy-Preserving SVM Computing in the Encrypted Domain. - Takahiro Maekawa; Ayana Kawamura; Yuma Kinoshita; Hitoshi Kiya (APSIPA, 2018)

Histogram-Based Image Pre-processing for Machine Learning. - Ayumi Sada; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (GCCE, 2018)

Multi-Exposure Image Fusion Based on Exposure Compensation. - Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya; Taichi Yoshida (ICASSP, 2018)

Automatic Exposure Compensation for Multi-Exposure Image Fusion. - Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (ICIP, 2018)

A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function. - Chien Cheng Chien; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (CoRR, 2018)

A Pseudo Multi-Exposure Fusion Method Using Single Image. - Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Filtering Adversarial Noise with Double Quantization. - MaungMaung AprilPyone; Yuma Kinoshita; Hitoshi Kiya (APSIPA, 2019)

A Hue Correction Scheme Based on Constant-Hue Plane for Color Image Enhancement. - Yuma Kinoshita; Kouki Seo; Hitoshi Kiya (APSIPA, 2019)

Privacy-Preserving Deep Neural Networks Using Pixel-Based Image Encryption Without Common Security Keys. - Warit Sirichotedumrong; Yuma Kinoshita; Hitoshi Kiya (APSIPA, 2019)

iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Based on Tone Mapping Operator. - Yuma Kinoshita; Hitoshi Kiya (EUSIPCO, 2019)

Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion. - Chihiro Go; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (GCCE, 2019)

On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks. - Warit Sirichotedumrong; Yuma Kinoshita; Hitoshi Kiya (GCCE, 2019)

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion. - Artit Visavakitcharoen; Yuma Kinoshita; Hitoshi Kiya (GCCE, 2019)

Convolutional Neural Networks Considering Local and Global Features for Image Enhancement. - Yuma Kinoshita; Hitoshi Kiya (ICIP, 2019)

Privacy-Preserving Deep Neural Networks with Pixel-Based Image Encryption Considering Data Augmentation in the Encrypted Domain. - Warit Sirichotedumrong; Takahiro Maekawa; Yuma Kinoshita; Hitoshi Kiya (ICIP, 2019)

Adversarial Robustness by One Bit Double Quantization for Visual Classification. - MaungMaung AprilPyone; Yuma Kinoshita; Hitoshi Kiya (IEEE Access, 2019)

iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Considering Tone Mapping Operator. - Yuma Kinoshita; Hitoshi Kiya (IEEE Access, 2019)

Pixel-Based Image Encryption Without Key Management for Privacy-Preserving Deep Neural Networks. - Warit Sirichotedumrong; Yuma Kinoshita; Hitoshi Kiya (IEEE Access, 2019)

Image Enhancement Network Trained by Using HDR images. - Yuma Kinoshita; Hitoshi Kiya (CoRR, 2019)

Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance. - Yuma Kinoshita; Hitoshi Kiya (CoRR, 2019)

A Noise-aware Enhancement Method for Underexposed Images. - Chien Cheng Chien; Yuma Kinoshita; Hitoshi Kiya (CoRR, 2019)

Privacy-Preserving Machine Learning Using EtC Images. - Ayana Kawamura; Yuma Kinoshita; Hitoshi Kiya (CoRR, 2019)

An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures. - Chihiro Go; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

A Hue-Preserving Tone Mapping Scheme Based on Constant-Hue Plane Without Gamut Problem. - Yuma Kinoshita; Kouki Seo; Artit Visavakitcharoen; Hitoshi Kiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion. - Yuma Kinoshita; Hitoshi Kiya (IEEE Trans. Image Process., 2019)

Energy-Based Multiple Source Localization with Blinkies. - Daiki Horiike; Robin Scheibler; Yuma Kinoshita; Yukoh Wakabayashi; Nobutaka Ono (APSIPA, 2020)

A Framework for Transformation Network Training in Coordination with Semi-trusted Cloud Provider for Privacy-Preserving Deep Neural Networks. - Hiroki Ito; Yuma Kinoshita; Hitoshi Kiya (APSIPA, 2020)

Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features. - Yuma Kinoshita; Hitoshi Kiya (APSIPA, 2020)

Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation. - Hiroki Ito; Yuma Kinoshita; Hitoshi Kiya (GCCE, 2020)

On the influence of using quantized images on machine learning algorithms. - Takayuki Osakabe; Yuma Kinoshita; Hitoshi Kiya (GCCE, 2020)

Fixed Smooth Convolutional Layer for Avoiding Checkerboard Artifacts in CNNS. - Yuma Kinoshita; Hitoshi Kiya (ICASSP, 2020)

Hue Correction Scheme for Multi-Exposure Image Fusion Considering Hue Distortion in Input Images. - Kouki Seo; Chihiro Go; Yuma Kinoshita; Hitoshi Kiya (ICCE-TW, 2020)

Image-Enhancement-Based Data Augmentation for Improving Deep Learning in Image Classification Problem. - Weihang Zhang; Yuma Kinoshita; Hitoshi Kiya (ICCE-TW, 2020)

Hue-Correction Scheme Based on Constant-Hue Plane for Deep-Learning-Based Color-Image Enhancement. - Yuma Kinoshita; Hitoshi Kiya (IEEE Access, 2020)

CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection. - Takayuki Osakabe; Miki Tanaka; Yuma Kinoshita; Hitoshi Kiya (CoRR, 2020)

A Privacy-Preserving Machine Learning Scheme Using EtC Images. - Ayana Kawamura; Yuma Kinoshita; Takayuki Nakachi; Sayaka Shiota; Hitoshi Kiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion. - Kouki Seo; Chihiro Go; Yuma Kinoshita; Hitoshi Kiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Spatially varying white balancing for mixed and non-uniform illuminants. - Teruaki Akazawa; Yuma Kinoshita; Hitoshi Kiya (APSIPA ASC, 2021)

Framewise Finite Impulse Response Filtering Based on Time-Frequency Mask for Low-Latency Speech Enhancement. - Chiho Haruta; Nobutaka Ono; Yuma Kinoshita (APSIPA ASC, 2021)

Analysis on Roles of DNNs in End-to-End Acoustic Scene Analysis Framework with Distributed Sound-to-Light Conversion Devices. - Yuma Kinoshita; Nobutaka Ono (APSIPA ASC, 2021)

Causal Distortionless Response Beamforming by Alternating Direction Method of Multipliers. - Yoshiki Masuyama; Kouei Yamaoka; Yuma Kinoshita; Nobutaka Ono (APSIPA ASC, 2021)

End-to-End Training for Acoustic Scene Analysis with Distributed Sound-to-Light Conversion Devices. - Yuma Kinoshita; Nobutaka Ono (EUSIPCO, 2021)

Phase representation based on HSV color model for acoustic classification with convolutional neural networks. - Yuki Shiroma; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (GCCE, 2021)

Multi-Color Balance For Color Constancy. - Teruaki Akazawa; Yuma Kinoshita; Hitoshi Kiya (ICIP, 2021)

Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera. - Yuma Kinoshita; Hitoshi Kiya (ICIP, 2021)

Multi-color balancing for correctly adjusting the intensity of target colors. - Teruaki Akazawa; Yuma Kinoshita; Hitoshi Kiya (LifeTech, 2021)

Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learning. - Kouki Seo; Yuma Kinoshita; Hitoshi Kiya (LifeTech, 2021)

Image to Perturbation: An Image Transformation Network for Generating Visually Protected Images for Privacy-Preserving Deep Neural Networks. - Hiroki Ito; Yuma Kinoshita; MaungMaung AprilPyone; Hitoshi Kiya (IEEE Access, 2021)

Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency. - Yuma Kinoshita; Hitoshi Kiya (CoRR, 2021)

Three-Color Balancing for Color Constancy Correction. - Teruaki Akazawa; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (J. Imaging, 2021)

Privacy-Preserving Image Classification Using Vision Transformer. - Zheng Qi; AprilPyone MaungMaung; Yuma Kinoshita; Hitoshi Kiya (EUSIPCO, 2022)

Missing data recovery using autoencoder for multi-channel acoustic scene classification. - Yuki Shiroma; Yuma Kinoshita; Keisuke Imoto; Sayaka Shiota; Nobutaka Ono; Hitoshi Kiya (EUSIPCO, 2022)

Template matching with white balance adjustment under multiple illuminants. - Teruaki Akazawa; Yuma Kinoshita; Hitoshi Kiya (GCCE, 2022)

N-White Balancing: White Balancing for Multiple Illuminants Including Non-Uniform Illumination. - Teruaki Akazawa; Yuma Kinoshita; Sayaka Shiota; Hitoshi Kiya (IEEE Access, 2022)

An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications. - Hitoshi Kiya; AprilPyone MaungMaung; Yuma Kinoshita; Shoko Imaizumi; Sayaka Shiota (CoRR, 2022)

Maximization of 2D Cross-Correlation Based on Auxiliary Function Method for Image Alignment. - Yuma Kinoshita; Kouei Yamaoka; Hitoshi Kiya (APSIPA ASC, 2023)

Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring. - Tomohiro Takahashi; Yuma Kinoshita; Natsuki Ueno; Yukoh Wakabayashi; Nobutaka Ono; Jun Honda; Seishi Fukuma; Aoi Kitamori; Hiroshi Nakagawa (APSIPA ASC, 2023)

Automatic Call Classification of Autism Model Marmosets by Deep Learning and Analysis of Their Vocal Development. - Minato Uesaka; Hideto Kawauchi; Kouei Yamaoka; Yukoh Wakabayashi; Yuma Kinoshita; Nobutaka Ono; Jun Noguchi; Satoshi Watanabe; Noritaka Ichinohe; Seico Benner; Hidenori Yamasue (APSIPA ASC, 2023)

Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data. - Tomohiro Takahashi; Yuma Kinoshita; Yukoh Wakabayashi; Nobutaka Ono; Jun Honda; Seishi Fukuma; Aoi Kitamori; Hiroshi Nakagawa (EUSIPCO, 2023)

Effectiveness of Inter- and Intra-Subarray Spatial Features for Acoustic Scene Classification. - Takao Kawamura; Yuma Kinoshita; Nobutaka Ono; Robin Scheibler (ICASSP, 2023)

Image and Model Transformation with Secret Key for Vision Transformer. - Hitoshi Kiya; Ryota Iijima; April Pyone Maung Maung; Yuma Kinoshita (IEICE Trans. Inf. Syst., 2023)

Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes. - Yuma Kinoshita; Hitoshi Kiya (APSIPA, 2024)

Causal and Relaxed-Distortionless Response Beamforming for Online Target Source Extraction. - Yoshiki Masuyama; Kouei Yamaoka; Yuma Kinoshita; Taishi Nakashima; Nobutaka Ono (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Acoustic scene classification using inter- and intra-subarray spatial features in distributed microphone array. - Takao Kawamura; Yuma Kinoshita; Nobutaka Ono; Robin Scheibler (EURASIP J. Audio Speech Music. Process., 2024)

End-to-end training of acoustic scene classification using distributed sound-to-light conversion devices: verification through simulation experiments. - Yuma Kinoshita; Nobutaka Ono (EURASIP J. Audio Speech Music. Process., 2024)

Pre-training Autoencoder for Acoustic Event Classification via Blinky. - Xiaoyang Liu; Yuma Kinoshita (CoRR, 2025)

Scale and Rotation Estimation of Similarity-Transformed Images via Cross-Correlation Maximization Based on Auxiliary Function Method. - Shinji Yamashita; Yuma Kinoshita; Hitoshi Kiya (CoRR, 2025)