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2020 – today
- 2024
[j18]Yuma Kinoshita
, Nobutaka Ono:
End-to-end training of acoustic scene classification using distributed sound-to-light conversion devices: verification through simulation experiments. EURASIP J. Audio Speech Music. Process. 2024(1): 46 (2024)- [j17]Yoshiki Masuyama, Kouei Yamaoka, Yuma Kinoshita, Taishi Nakashima, Nobutaka Ono:
Causal and Relaxed-Distortionless Response Beamforming for Online Target Source Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 32: 310-324 (2024) - [i30]Yuma Kinoshita, Hitoshi Kiya:
Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes. CoRR abs/2410.19839 (2024) - 2023
- [j16]Hitoshi Kiya, Ryota Iijima, April Pyone Maung Maung, Yuma Kinoshita:
Image and Model Transformation with Secret Key for Vision Transformer. IEICE Trans. Inf. Syst. 106(1): 2-11 (2023) - [c46]Yuma Kinoshita, Kouei Yamaoka, Hitoshi Kiya:
Maximization of 2D Cross-Correlation Based on Auxiliary Function Method for Image Alignment. APSIPA ASC 2023: 2043-2047 - [c45]Tomohiro Takahashi, Yuma Kinoshita, Natsuki Ueno, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, Hiroshi Nakagawa:
Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring. APSIPA ASC 2023: 2087-2091 - [c44]Minato Uesaka, Hideto Kawauchi, Kouei Yamaoka, Yukoh Wakabayashi, Yuma Kinoshita, Nobutaka Ono, Jun Noguchi, Satoshi Watanabe, Noritaka Ichinohe, Seico Benner, Hidenori Yamasue:
Automatic Call Classification of Autism Model Marmosets by Deep Learning and Analysis of Their Vocal Development. APSIPA ASC 2023: 2233-2237 - [c43]Tomohiro Takahashi, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, Hiroshi Nakagawa:
Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data. EUSIPCO 2023: 935-939 - [c42]Takao Kawamura, Yuma Kinoshita, Nobutaka Ono, Robin Scheibler:
Effectiveness of Inter- and Intra-Subarray Spatial Features for Acoustic Scene Classification. ICASSP 2023: 1-5 - 2022
- [j15]Teruaki Akazawa, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
N-White Balancing: White Balancing for Multiple Illuminants Including Non-Uniform Illumination. IEEE Access 10: 89051-89062 (2022) - [c41]Zheng Qi, AprilPyone MaungMaung, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Image Classification Using Vision Transformer. EUSIPCO 2022: 543-547 - [c40]Yuki Shiroma, Yuma Kinoshita, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, Hitoshi Kiya:
Missing data recovery using autoencoder for multi-channel acoustic scene classification. EUSIPCO 2022: 767-771 - [c39]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Template matching with white balance adjustment under multiple illuminants. GCCE 2022: 372-376 - [i29]Hitoshi Kiya, AprilPyone MaungMaung, Yuma Kinoshita, Shoko Imaizumi, Sayaka Shiota:
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications. CoRR abs/2201.11006 (2022) - [i28]Zheng Qi, AprilPyone MaungMaung, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Image Classification Using Vision Transformer. CoRR abs/2205.12041 (2022) - [i27]Hitoshi Kiya, Ryota Iijima, MaungMaung AprilPyone, Yuma Kinoshita:
Image and Model Transformation with Secret Key for Vision Transformer. CoRR abs/2207.05366 (2022) - [i26]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Template matching with white balance adjustment under multiple illuminants. CoRR abs/2208.02035 (2022) - 2021
- [j14]Hiroki Ito, Yuma Kinoshita, MaungMaung AprilPyone, Hitoshi Kiya:
Image to Perturbation: An Image Transformation Network for Generating Visually Protected Images for Privacy-Preserving Deep Neural Networks. IEEE Access 9: 64629-64638 (2021) - [j13]Teruaki Akazawa, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Three-Color Balancing for Color Constancy Correction. J. Imaging 7(10): 207 (2021) - [c38]Yoshiki Masuyama, Kouei Yamaoka, Yuma Kinoshita, Nobutaka Ono:
Causal Distortionless Response Beamforming by Alternating Direction Method of Multipliers. APSIPA ASC 2021: 585-590 - [c37]Yuma Kinoshita, Nobutaka Ono:
Analysis on Roles of DNNs in End-to-End Acoustic Scene Analysis Framework with Distributed Sound-to-Light Conversion Devices. APSIPA ASC 2021: 1167-1172 - [c36]Chiho Haruta, Nobutaka Ono, Yuma Kinoshita:
Framewise Finite Impulse Response Filtering Based on Time-Frequency Mask for Low-Latency Speech Enhancement. APSIPA ASC 2021: 1215-1220 - [c35]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Spatially varying white balancing for mixed and non-uniform illuminants. APSIPA ASC 2021: 1571-1575 - [c34]Yuma Kinoshita, Nobutaka Ono:
End-to-End Training for Acoustic Scene Analysis with Distributed Sound-to-Light Conversion Devices. EUSIPCO 2021: 1010-1014 - [c33]Yuki Shiroma, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Phase representation based on HSV color model for acoustic classification with convolutional neural networks. GCCE 2021: 427-429 - [c32]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-Color Balance For Color Constancy. ICIP 2021: 1369-1373 - [c31]Yuma Kinoshita, Hitoshi Kiya:
Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera. ICIP 2021: 1379-1383 - [c30]Kouki Seo, Yuma Kinoshita, Hitoshi Kiya:
Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learning. LifeTech 2021: 1-5 - [c29]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-color balancing for correctly adjusting the intensity of target colors. LifeTech 2021: 8-12 - [i25]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-color balancing for correctly adjusting the intensity of target colors. CoRR abs/2102.01893 (2021) - [i24]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-color balance for color constancy. CoRR abs/2105.10228 (2021) - [i23]Yuma Kinoshita, Hitoshi Kiya:
Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera. CoRR abs/2106.01861 (2021) - [i22]Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Spatially varying white balancing for mixed and non-uniform illuminants. CoRR abs/2109.01350 (2021) - [i21]Yuma Kinoshita, Hitoshi Kiya:
Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency. CoRR abs/2111.04506 (2021) - 2020
- [j12]Yuma Kinoshita, Hitoshi Kiya:
Hue-Correction Scheme Based on Constant-Hue Plane for Deep-Learning-Based Color-Image Enhancement. IEEE Access 8: 9540-9550 (2020) - [j11]Kouki Seo, Chihiro Go, Yuma Kinoshita, Hitoshi Kiya:
Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1562-1570 (2020) - [j10]Ayana Kawamura, Yuma Kinoshita, Takayuki Nakachi, Sayaka Shiota, Hitoshi Kiya:
A Privacy-Preserving Machine Learning Scheme Using EtC Images. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1571-1578 (2020) - [c28]Daiki Horiike, Robin Scheibler, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono:
Energy-Based Multiple Source Localization with Blinkies. APSIPA 2020: 443-448 - [c27]Yuma Kinoshita, Hitoshi Kiya:
Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features. APSIPA 2020: 1139-1144 - [c26]Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya:
A Framework for Transformation Network Training in Coordination with Semi-trusted Cloud Provider for Privacy-Preserving Deep Neural Networks. APSIPA 2020: 1420-1424 - [c25]Takayuki Osakabe, Yuma Kinoshita, Hitoshi Kiya:
On the influence of using quantized images on machine learning algorithms. GCCE 2020: 100-103 - [c24]Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya:
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation. GCCE 2020: 822-825 - [c23]Yuma Kinoshita, Hitoshi Kiya:
Fixed Smooth Convolutional Layer for Avoiding Checkerboard Artifacts in CNNS. ICASSP 2020: 3712-3716 - [c22]Kouki Seo, Chihiro Go, Yuma Kinoshita, Hitoshi Kiya:
Hue Correction Scheme for Multi-Exposure Image Fusion Considering Hue Distortion in Input Images. ICCE-TW 2020: 1-2 - [c21]Weihang Zhang, Yuma Kinoshita, Hitoshi Kiya:
Image-Enhancement-Based Data Augmentation for Improving Deep Learning in Image Classification Problem. ICCE-TW 2020: 1-2 - [i20]Yuma Kinoshita, Hitoshi Kiya:
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs. CoRR abs/2002.02117 (2020) - [i19]Ayana Kawamura, Yuma Kinoshita, Takayuki Nakachi, Sayaka Shiota, Hitoshi Kiya:
A Privacy-Preserving Machine Learning Scheme Using EtC Images. CoRR abs/2007.08775 (2020) - [i18]Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya:
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation. CoRR abs/2008.03143 (2020) - [i17]Yuma Kinoshita, Hitoshi Kiya:
Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features. CoRR abs/2010.12347 (2020) - [i16]Takayuki Osakabe, Miki Tanaka, Yuma Kinoshita, Hitoshi Kiya:
CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection. CoRR abs/2012.00287 (2020)
2010 – 2019
- 2019
- [j9]Yuma Kinoshita, Hitoshi Kiya:
iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Considering Tone Mapping Operator. IEEE Access 7: 73555-73563 (2019) - [j8]Warit Sirichotedumrong, Yuma Kinoshita, Hitoshi Kiya:
Pixel-Based Image Encryption Without Key Management for Privacy-Preserving Deep Neural Networks. IEEE Access 7: 177844-177855 (2019) - [j7]MaungMaung AprilPyone, Yuma Kinoshita, Hitoshi Kiya:
Adversarial Robustness by One Bit Double Quantization for Visual Classification. IEEE Access 7: 177932-177943 (2019) - [j6]Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(12): 1856-1864 (2019) - [j5]Yuma Kinoshita, Kouki Seo, Artit Visavakitcharoen, Hitoshi Kiya:
A Hue-Preserving Tone Mapping Scheme Based on Constant-Hue Plane Without Gamut Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(12): 1865-1871 (2019) - [j4]Yuma Kinoshita, Hitoshi Kiya:
Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion. IEEE Trans. Image Process. 28(8): 4101-4116 (2019) - [c20]Yuma Kinoshita, Kouki Seo, Hitoshi Kiya:
A Hue Correction Scheme Based on Constant-Hue Plane for Color Image Enhancement. APSIPA 2019: 802-806 - [c19]MaungMaung AprilPyone, Yuma Kinoshita, Hitoshi Kiya:
Filtering Adversarial Noise with Double Quantization. APSIPA 2019: 1745-1749 - [c18]Warit Sirichotedumrong, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Deep Neural Networks Using Pixel-Based Image Encryption Without Common Security Keys. APSIPA 2019: 1756-1761 - [c17]Yuma Kinoshita, Hitoshi Kiya:
iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Based on Tone Mapping Operator. EUSIPCO 2019: 1-5 - [c16]Warit Sirichotedumrong, Yuma Kinoshita, Hitoshi Kiya:
On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks. GCCE 2019: 121-124 - [c15]Artit Visavakitcharoen, Yuma Kinoshita, Hitoshi Kiya:
A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion. GCCE 2019: 468-470 - [c14]Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion. GCCE 2019: 833-835 - [c13]Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Deep Neural Networks with Pixel-Based Image Encryption Considering Data Augmentation in the Encrypted Domain. ICIP 2019: 674-678 - [c12]Yuma Kinoshita, Hitoshi Kiya:
Convolutional Neural Networks Considering Local and Global Features for Image Enhancement. ICIP 2019: 2110-2114 - [i15]Yuma Kinoshita, Hitoshi Kiya:
Image Enhancement Network Trained by Using HDR images. CoRR abs/1901.05686 (2019) - [i14]Yuma Kinoshita, Hitoshi Kiya:
Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance. CoRR abs/1903.01277 (2019) - [i13]Yuma Kinoshita, Hitoshi Kiya:
Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion. CoRR abs/1903.07428 (2019) - [i12]Chien Cheng Chien, Yuma Kinoshita, Hitoshi Kiya:
A Noise-aware Enhancement Method for Underexposed Images. CoRR abs/1904.10961 (2019) - [i11]Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain. CoRR abs/1905.01827 (2019) - [i10]Yuma Kinoshita, Hitoshi Kiya:
Convolutional Neural Networks Considering Local and Global features for Image Enhancement. CoRR abs/1905.02899 (2019) - [i9]Artit Visavakitcharoen, Yuma Kinoshita, Hitoshi Kiya:
A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion. CoRR abs/1907.11379 (2019) - [i8]Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion. CoRR abs/1908.00186 (2019) - [i7]Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures. CoRR abs/1908.08195 (2019) - [i6]Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Machine Learning Using EtC Images. CoRR abs/1911.00227 (2019) - [i5]Warit Sirichotedumrong, Yuma Kinoshita, Hitoshi Kiya:
On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks. CoRR abs/1912.04746 (2019) - 2018
- [j3]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
A Pseudo Multi-Exposure Fusion Method Using Single Image. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1806-1814 (2018) - [c11]Yuma Kinoshita, Hitoshi Kiya:
An Image Segmentation Method Based on Luminance Distribution and Its Application to Image Enhancement. APSIPA 2018: 865-870 - [c10]Takahiro Maekawa, Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving SVM Computing in the Encrypted Domain. APSIPA 2018: 897-902 - [c9]Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Image Fusion for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures. APSIPA 2018: 1082-1086 - [c8]Ayumi Sada, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Histogram-Based Image Pre-processing for Machine Learning. GCCE 2018: 272-275 - [c7]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya, Taichi Yoshida:
Multi-Exposure Image Fusion Based on Exposure Compensation. ICASSP 2018: 1388-1392 - [c6]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Automatic Exposure Compensation for Multi-Exposure Image Fusion. ICIP 2018: 883-887 - [i4]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Automatic Exposure Compensation for Multi-Exposure Image Fusion. CoRR abs/1805.11211 (2018) - [i3]Yuma Kinoshita, Taichi Yoshida, Sayaka Shiota, Hitoshi Kiya:
Multi-Exposure Image Fusion Based on Exposure Compensation. CoRR abs/1806.09607 (2018) - [i2]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
A Pseudo Multi-Exposure Fusion Method Using Single Image. CoRR abs/1808.00195 (2018) - [i1]Chien Cheng Chien, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function. CoRR abs/1811.03280 (2018) - 2017
- [j2]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Fast Inverse Tone Mapping Based on Reinhard's Global Operator with Estimated Parameters. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2248-2255 (2017) - [c5]Yuma Kinoshita, Taichi Yoshida, Sayaka Shiota, Hitoshi Kiya:
Pseudo multi-exposure fusion using a single image. APSIPA 2017: 263-269 - [c4]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Fast inverse tone mapping with Reinhard's global operator. ICASSP 2017: 1972-1976 - [c3]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Reinhard's global operator based inverse tone mapping with one parameter. IWSDA 2017: 49-53 - 2016
- [j1]Yuma Kinoshita, Sayaka Shiota, Masahiro Iwahashi, Hitoshi Kiya:
An Remapping Operation without Tone Mapping Parameters for HDR Images. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(11): 1955-1961 (2016) - [c2]Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
An inverse tone mapping operator based on Reinhard's global operator. ISPACS 2016: 1-6 - [c1]Artit Visavakitcharoen, Yuma Kinoshita, Hiroyuki Kobayashi, Hitoshi Kiya:
Quality improvement of tone mapped images by TMQI-II based optimization for the JPEG XT standard. ISPACS 2016: 1-5
Coauthor Index
[i30] [j16] [c46] [j15] [c41] [c40] [c39] [i29] [i28] [i27] [i26] [j14] [j13] [c35] [c33] [c32] [c31] [c30] [c29] [i25] [i24] [i23] [i22] [i21] [j12] [j11] [j10] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i20] [i19] [i18] [i17] [i16] [j9] [j8] [j7] [j6] [j5] [j4] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [j3] [c11] [c10] [c9] [c8] [c7] [c6] [i4] [i3] [i2] [i1] [j2] [c5] [c4] [c3] [j1] [c2] [c1]
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