Publications

Yuma Kinoshita and Nobutaka Ono, "End-to-End Training of Acoustic Scene Classification Using Distributed Sound-to-Light Conversion Devices: Verification Through Simulation Experiments," EURASIP Journal on Audio, Speech, and Music Processing, vol. 2024, art. no.  46 (2024), Sep. 2024.

Yoshiki Masuyama, Kouei Yamaoka, Yuma Kinoshita, Taishi Nakashima, and Nobutaka Ono, "Causal and Relaxed-Distortionless Response Beamforming for Online Target Source Extraction," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 310–324, Nov. 2023. 

Yuki Shiroma, Yuma Kinoshita, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, and Hitoshi Kiya, "Missing Data Completion of Multi-channel Signals Using Autoencoder for Acoustic Scene Classification," APSIPA Transactions on Signal and Information Processing, vol. 12, no. 3, art. no. e16, pp. 1–22, Apr. 2023.

Hitoshi Kiya, Ryota Iijima, April Pyone Maung Maung, and Yuma Kinoshita, "Image and Model Transformation with Secret Key for Vision Transformer," IEICE Transactions on Information and Systems, vol. E106-D, no. 1, pp. 2–11, Jan. 2023.

Teruaki Akazawa, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "N-White Balancing: White Balancing for Multiple Illuminants Including Non-Uniform Illumination," IEEE Access, vol. 10, no. 1, pp. 89051–89062, Aug. 2022.

Hitoshi Kiya, April Pyone Maung Maung, Yuma Kinoshita, Shoko Imaizumi, and Sayaka Shiota, "An Overview of Compressible and Learnable Image Transformation with Secret Key and its Applications," APSIPA Transactions on Signal and Information Processing, vol. 11, no. e11, pp. 1–40, May 2022.

Yuma Kinoshita and Hitoshi Kiya, "Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency," APSIPA Transactions on Signal and Information Processing, vol. 11, no. e3, pp. 1–23, Apr. 2022.

Teruaki Akazawa, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Three-Color Balancing for Color Constancy Correction," MDPI Journal of Imaging, vol. 7, no. 10, pp. 1–15, Oct. 2021. 

Kanato Ishii, Yuma Kinoshita, Yukoh Wakabayashi, and Nobutaka Ono, "Real-Time Pitch Visualization with “Blinky” Sound-to-Light Conversion Device," Journal of Signal Processing, vol. 25, no. 6, pp. 213–220, Nov. 2021.

Hiroki Ito, Yuma Kinoshita, MaungMaung AprilPyone, and Hitoshi Kiya, "Image to Perturbation: An Image Transformation Network for Generating Visually Protected Images for Privacy-Preserving Deep Neural Networks," IEEE Access, vol. 9, no. 1, pp. 64629–64638, Apr. 2021.

Kouki Seo, Chihiro Go, Yuma Kinoshita, and Hitoshi Kiya, "Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E103-A, no. 12, pp. 1562–1570, Dec. 2020.

Ayana Kawamura, Yuma Kinoshita, Takayuki Nakachi, Sayaka Shiota, and Hitoshi Kiya, "A Privacy-Preserving Machine Learning Scheme Using EtC Images," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E103-A, no. 12, pp. 1571–1578, Dec. 2020.

Yuma Kinoshita and Hitoshi Kiya, "Hue-Correction Scheme Considering CIEDE2000 for Color-Image Enhancement Including Deep-Learning-Based Algorithms," APSIPA Transactions Signal and Information Processing, vol. 9, no. e19, pp. 1–10, Sep. 2020.

Yuma Kinoshita and Hitoshi Kiya, "Hue-Correction Scheme Based on Constant-Hue Plane for Deep-Learning-Based Color-Image Enhancement," IEEE Access, vol. 8, no. 1, pp. 9540–9550, Jan. 2020.

Warit Sirichotedumrong, Yuma Kinoshita, and Hitoshi Kiya, "Pixel-Based Image Encryption Without Key Management for Privacy-Preserving Deep Neural Networks," IEEE Access, vol. 7, no. 1, pp. 177844–177855, Dec. 2019.

April Pyone Maung Maung, Yuma Kinoshita, and Hitoshi Kiya, "Adversarial Robustness by One Bit Double Quantization for Visual Classification," IEEE Access, vol. 7, no. 1, pp. 177932–177943, Dec. 2019.

Chihiro Go, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E102-A, no. 12, pp. 1856–1864, Dec. 2019.

Yuma Kinoshita, Kouki Seo, Artit Visavakitcharoen, and Hitoshi Kiya, "A Hue-Preserving Tone Mapping Scheme Based on Constant-Hue Plane without Gamut Problem," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E102-A, no. 12, pp. 1865–1871, Dec. 2019.

Yuma Kinoshita and Hitoshi Kiya, “Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion,” IEEE Trans. Image Processing, vol.28, no.8, pp.4101-4116, August 2019. Project page DOI

Yuma Kinoshita and Hitoshi Kiya, “iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Considering Tone Mapping Operator,” IEEE Access, vol.7, no.1, pp.73555-73563, May 2019. Project page DOI

Yuma Kinoshita and Hitoshi Kiya, “Automatic Exposure Compensation Using an Image Segmentation Method for Single-Image-Based Multi-Exposure Fusion.,” APSIPA Trans. Signal and Information Processing, December 2018. 

Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, “A Pseudo Multi-Exposure Fusion Method Using Single Image,” IEICE Trans. Fundamentals, vol.E101-A, no.11, pp.1806-1814, November 2018. 

Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya, "Fast Inverse Tone Mapping Based on Reinhard's Global Operator with Estimated Parameters," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, IEICE, vol.E100-A, no.11,pp.2248-2255, November 2017.

Yuma Kinoshita, Sayaka Shiota, Masahiro Iwahashi, Hitoshi Kiya, "A Remapping Operation without Tone Mapping Parameters for HDR Images," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, IEICE, vol.E99-A, no.11, pp.1955-1961, November 2016.

Yuma Kinoshita and Hitoshi Kiya, "Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes," APSIPA Annual Summit and Conference, Macau, China, Dec. 2024 (to appear).

Tomohiro Takahashi, Natsuki Ueno, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Makiho Sukekawa, Seishi Fukuma, and Hiroshi Nakagawa, "Acoustic-Based Traffic Monitoring with Neural Network Trained by Matching Loss for Ranking Function," DCASE2024 Workshop, Tokyo, Japan, Oct. 2024 (to appear).

Tomohiro Takahashi, Natsuki Ueno, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Makiho Sukekawa, Seishi Fukuma, and Hiroshi Nakagawa, "Neural Network Training with Matching Loss for Ranking Function," DCASE2024 Challenge, Jul. 2024.

Yuma Kinoshita, Kouei Yamaoka, and Hitoshi Kiya, "Maximization of 2D Cross-Correlation Based on Auxiliary Function Method for Image Alignment," APSIPA Annual Summit and Conference, pp. 2032–2036, Taipei, Taiwan, Nov. 2023.

Tomohiro Takahashi, Yuma Kinoshita, Natsuki Ueno, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, and Hiroshi Nakagawa, "Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring," APSIPA Annual Summit and Conference, pp. 2068–2072, Taipei, Taiwan, Nov. 2023.

Minato Uesaka, Hideto Kawauchi, Kouei Yamaoka, Yukoh Wakabayashi, Yuma Kinoshita, Nobutaka Ono, Jun Noguchi, Satoshi Watanabe, Noritaka Ichinohe, Seico Benner, and Hidenori Yamasue, "Automatic Call Classification of Autism Model Marmosets by Deep Learning and Analysis of Their Vocal Development," APSIPA Annual Summit and Conference, pp. 2214–2218, Taipei, Taiwan, Nov. 2023.

Tomohiro Takahashi, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, and Hiroshi Nakagawa, "Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data," EURASIP European Signal Processing Conference, pp. 935–939, Helsinki, Finland, Sep. 2023.

Takao Kawamura, Yuma Kinoshita, Nobutaka Ono, and Robin Scheibler, "Effectiveness of Inter- and Intra-Subarray Spatial Features for Acoustic Scene Classification," IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes island, Greece, Jun. 2023.

Satoshi Motoyama, Natsuki Ueno, Yuma Kinoshita, and Nobutaka Ono, "Compressed Sensing of Sparse Spectrum Using Distributed Sound-to-Light Conversion Device Blinkies," APSIPA Annual Summit and Conference, pp. 12–16, Chiang Mai, Thailand, Nov. 2022.

Kosuke Nishida, Natsuki Ueno, Yuma Kinoshita, and Nobutaka Ono, "Estimation of Transfer Coefficients and Signals of Sound-to-Light Conversion Device Blinky Under Saturation," APSIPA Annual Summit and Conference, pp. 718–723 , Chiang Mai, Thailand, Nov. 2022.

Teruaki Akazawa, Yuma Kinoshita, and Hitoshi Kiya, "Template Matching with White Balance Adjustment Under Multiple Illuminants," IEEE Global Conference on Consumer Electronics, art. no. , pp. 379–383, Osaka, Japan, Oct. 2022.

Zheng Qi, April Pyone Maung Maung, Yuma Kinoshita, and Hitoshi Kiya, "Privacy-Preserving Image Classification Using Vision Transformer," EURASIP European Signal Processing Conference, pp. 543–547, Belgrade, Serbia, Aug. 2022.

Yuki Shiroma, Yuma Kinoshita, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, and Hitoshi Kiya, "Missing Data Recovery Using Autoencoder for Multi-Channel Acoustic Scene Classification," EURASIP European Signal Processing Conference, art. no. , pp. 767–771, Belgrade, Serbia, Aug. 2022.

Teruaki Akazawa, Yuma Kinoshita, and Hitoshi Kiya, "Spatially Varying White Balancing for Mixed and Non-Uniform Illuminants," APSIPA Annual Summit and Conference, pp. 1571–1575, Tokyo, Japan, Dec. 2021.

Yuma Kinoshita and Nobutaka Ono, "Analysis on Roles of DNNs in End-to-End Acoustic Scene Analysis Framework with Distributed Sound-to-Light Conversion Devices," APSIPA Annual Summit and Conference, pp. 1167–1172, Tokyo, Japan, Dec. 2021.

Chiho Haruta, Nobutaka Ono, and Yuma Kinoshita, "Realizing Low Latency Time-Frequency Masking with Frame-Wise FIR Filters for Speech Enhancement," APSIPA Annual Summit and Conference, pp. 1215–1220, Tokyo, Japan, Dec. 2021.

Yoshiki Masuyama, Kouei Yamaoka, Yuma Kinoshita, and Nobutaka Ono, "Causal Distortionless Response Beamforming by Alternating Direction Method of Multipliers," APSIPA Annual Summit and Conference, pp. 585–590, Tokyo, Japan, Dec. 2021.

Yuki Shiroma, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Phase Representation Based on HSV Color Model for Acoustic Classification With Convolutional Neural Networks," IEEE Global Conference on Consumer Electronics, Kyoto, Japan, Oct. 2021.

Yuma Kinoshita and Hitoshi Kiya, "Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera," IEEE International Conference on Image Processing, Anchorage, USA, Sep. 2021.

Teruaki Akazawa, Yuma Kinoshita, and Hitoshi Kiya, "Multi-Color Balance for Color Constancy," IEEE International Conference on Image Processing, Anchorage, USA, Sep. 2021.

Yuma Kinoshita and Nobutaka Ono, "End-to-End Training for Acoustic Scene Analysis with Distributed Sound-to-Light Conversion Devices," EURASIP European Signal Processing Conference, pp. 1010–1014, Dublin, Ireland, Aug. 2021.

Kouki Seo, Yuma Kinoshita, and Hitoshi Kiya, "Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learning," IEEE Global Conference on Life Sciences and Technologies, pp. 1–5, Nara, Japan, Mar. 2021.

Teruaki Akazawa, Yuma Kinoshita, and Hitoshi Kiya, "Multi-Color Balancing for Correctly Adjusting the Intensity of Target Colors," IEEE Global Conference on Life Sciences and Technologies, pp. 8–12, Nara, Japan, Mar. 2021.

Takayuki Osakabe, Miki Tanaka, Yuma Kinoshita, and Hitoshi Kiya, "CycleGAN without Checkerboard Artifacts for Counter-Forensics of Fake-Image Detection," International Workshop on Advanced Image Technology, Kagoshima, Japan, Jan. 2021.

Kanato Ishii, Yuma Kinoshita, Yukoh Wakabayashi, and Nobutaka Ono, "Real-Time Pitch Visualization Using Sound-Light Conversion Device "Blinky"," RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, pp. 101–104, Mar. 2021.

Yuma Kinoshita and Hitoshi Kiya, "Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features," APSIPA Annual Summit and Conference, pp. 1139–1144, Auckland, New Zealand, Dec. 2020.

Daiki Horiike, Robin Scheibler, Yuma Kinoshita, Yukoh Wakabayashi, and Nobutaka Ono, "Energy-Based Multiple Source Localization with Blinkies," APSIPA Annual Summit and Conference, pp. 443–448, Auckland, New Zealand, Dec. 2020.

Hiroki Ito, Yuma Kinoshita, and Hitoshi Kiya, "A Framework for Transformation Network Training in Coordination with Semi-trusted Cloud Provider for Privacy-Preserving Deep Neural Networks," APSIPA Annual Summit and Conference, pp. 1420–1424, Auckland, New Zealand, Dec. 2020.

Takayuki Osakabe, Yuma Kinoshita, and Hitoshi Kiya, "On the influence of using quantized images on machine learning algorithms," IEEE Global Conference on Consumer Electronics, pp. 101–104, Kobe, Japan, Oct. 2020.

Hiroki Ito, Yuma Kinoshita, and Hitoshi Kiya, "Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation," IEEE Global Conference on Consumer Electronics, pp. 537–540, Kobe, Japan, Oct. 2020.

Weihang Zhang, Yuma Kinoshita, and Hitoshi Kiya, "Image-Enhancement-Based Data Augmentation for Improving Deep Learning in Image Classification Problem," IEEE International Conference on Consumer Electronics - Taiwan, Taoyuan, Taiwan, Sep. 2020.

Kouki Seo, Chihiro Go, Yuma Kinoshita, and Hitoshi Kiya, "Hue Correction Scheme for Multi-Exposure Image Fusion Considering Hue Distortion in Input Images," IEEE International Conference on Consumer Electronics - Taiwan, Taoyuan, Taiwan, Sep. 2020.

Yuma Kinoshita and Hitoshi Kiya, "Fixed Smooth Convolutional Layer for Avoiding Checkerboard Artifacts in CNNs," IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3712–3716, Barcelona, Spain, May 2020.

Ayana Kawamura, Yuma Kinoshita, and Hitoshi Kiya, "Privacy-Preserving Machine Learning Using EtC Images," International Workshop on Advanced Image Technology, Yogyakarta, Indonesia, Jan. 2020.

Warit Sirichotedumrong, Yuma Kinoshita, and Hitoshi Kiya, "Privacy-Preserving Deep Neural Networks Using Pixel-Based Image Encryption Without Common Security Keys," APSIPA Annual Summit and Conference, pp. 1756–1762, Lanzhou, China, Nov. 2019.

Yuma Kinoshita and Hitoshi Kiya, "A Hue Correction Scheme Based on Constant-Hue Plane for Color Image Enhancement," APSIPA Annual Summit and Conference, pp. 802–806, Lanzhou, China, Nov. 2019.

April Pyone Maung Maung, Yuma Kinoshita, and Hitoshi Kiya, "Filtering Adversarial Noise with Double Quantization," APSIPA Annual Summit and Conference, pp. 1745–1749, Lanzhou, China, Nov. 2019.

Chihiro Go, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion," IEEE Global Conference on Consumer Electronics, pp. 857–859, Osaka, Japan, Oct. 2019.

Artit Visavakitcharoen, Yuma Kinoshita, and Hitoshi Kiya, "A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion," IEEE Global Conference on Consumer Electronics, pp. 477–479, Osaka, Japan, Oct. 2019.

Warit Sirichotedumrong, Yuma Kinoshita, and Hitoshi Kiya, "On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks," IEEE Global Conference on Consumer Electronics, pp. 123–125, Osaka, Japan, Oct. 2019.

Yuma Kinoshita and Hitoshi Kiya, "Convolutional Neural Networks Considering Local and Global Features for Image Enhancement," IEEE International Conference on Image Processing, pp. 2110–2114, Taipei, Taiwan, Sep. 2019.

Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita, and Hitoshi Kiya, "Privacy-Preserving Deep Neural Networks with Pixel-Based Image Encryption Considering Data Augmentation in the Encrypted Domain," IEEE International Conference on Image Processing, pp. 674–678, Taipei, Taiwan, Sep. 2019.

Yuma Kinoshita and Hitoshi Kiya, "iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Based on Tone Mapping Operator," EURASIP European Signal Processing Conference, A Coruña, Spain, Sep. 2019.

Chiencheng Chien, Yuma Kinoshita, and Hitoshi Kiya, "A Noise-aware Enhancement Method for Underexposed Images," IEEE International Conference on Consumer Electronics - Asia, pp. 131–134, Bangkok, Thailand, Jun. 2019.

Chiencheng Chien, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function," International Workshop on Advanced Image Technology, art. no. 110492K, Singapore, Singapore, Jan. 2019.

Artit Visavakitcharoen, Yuma Kinoshita, and Hitoshi Kiya, "Pure-Color Preserving Multi-Exposure Image Fusion," International Workshop on Advanced Image Technology, art. no. 110493X, Singapore, Singapore, Jan. 2019.

Yuma Kinoshita and Hitoshi Kiya, "An Image Segmentation Method Based on Luminance Distribution and Its Application to Image Enhancement," APSIPA Annual Summit and Conference, pp. 865–870, Honolulu, USA, Nov. 2018.

Chihiro Go, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Image Fusion for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures," APSIPA Annual Summit and Conference, pp. 1082–1086, Honolulu, USA, Nov. 2018.

Takahiro Maekawa, Ayana Kawamura, Yuma Kinoshita, and Hitoshi Kiya, "Privacy-Preserving SVM Computing in the Encrypted Domain," APSIPA Annual Summit and Conference, pp. 897–902, Honolulu, USA, Nov. 2018.

Ayumi Sada, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Histogram-Based Image Pre-Processing for Machine Learning," IEEE Global Conference on Consumer Electronics, pp. 272–275, Nara, Japan, Oct. 2018.

Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Automatic Exposure Compensation for Multi-Exposure Image Fusion," IEEE International Conference on Image Processing, pp. 883–887, Athens, Greece, Oct. 2018.

Yuma Kinoshita, Taichi Yoshida, Sayaka Shiota, and Hitoshi Kiya, "Multi-Exposure Image Fusion Based on Exposure Compensation," IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1388–1392, Calgary, Canada, Apr. 2018.

Yuma Kinoshita, Taichi Yoshida, Sayaka Shiota, and Hitoshi Kiya, "Pseudo Multi-Exposure Fusion Using a Single Image," APSIPA Annual Summit and Conference, pp. 263–269, Kuala Lumpur, Malaysia, Dec. 2017.

Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Reinhard’s Global Operator Based Inverse Tone Mapping with One Parameter," International Workshop on Signal Design and its Applications in Communications, pp. 49–53, Sapporo, Japan, Sep. 2017.

Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Fast Inverse Tone Mapping with Reinhard's Global Operator," IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1972–1976, New Orleans, USA, Mar. 2017.

Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "An Inverse Tone Mapping Operator Based on Reinhard's Global Operator," IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp. 106–111, Phuket, Thailand, Oct. 2016.

Artit Visavakitcharoen, Yuma Kinoshita, Hiroyuki Kobayashi, and Hitoshi Kiya, "Quality Improvement of Tone Mapped Images by TMQI-II based Optimization for the JPEG XT Standard," IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp. 189–193, Phuket, Thailand, Oct. 2016.

Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "An Inverse Tone Mapping Operation without Any Parameters for Remapping HDR Images," Workshop on Community-centric Systems as Interdisciplinary Study, art. no. 2A2E-3, Hachioji, Japan, Aug. 2016.

髙橋 知宏，植野 夏樹，木下 裕磨，若林 佑幸，小野 順貴, "音による交通モニタリングの性能向上の検討　―DCASE Challenge Task 10への参加を通して―," 日本音響学会秋季研究発表会, pp. 351–352, 2024年9月.

木下 裕磨, "標準電波の同時収録に基づく音信号同期フレームワークの検討," 電子情報通信学会総合大会, art. no. A-5-11, 2024年3月.

XiaoYang Liu, Yuma Kinoshita, "Sound-To-Light Conversion via Pre-trained Auto-Encoder for Acoustic Scene Classification Using Blinky," 電子情報通信学会総合大会, art. no. A-5-10, 2024年3月.

本山 智司, 植野 夏樹, 安田 昌弘, 木下 裕磨, 小野 順貴, "音光変換デバイス「ブリンキー」の分散配置に基づく発話検出のシミュレーション評価," 電子情報通信学会 応用音響研究会, vol. 123, no. 401 (no. EA2023-126), pp. 382–387, 2024年3月.

髙橋 知宏, ⽊下 裕磨, 植野 夏樹, 若林 佑幸, ⼩野 順貴, 本多 潤, 福⾺ 誠⼠, 北森 葵, 中川浩, "フレームシフトの調整による低速度域⾞両⾛⾏⾳のデータ拡張," 日本音響学会秋季研究発表会, pp. 391–394, 2023年9月.

風間 香伽, 木下 裕磨, 植野 夏樹, 小野 順貴, "深層学習を用いたアカペラ歌声分離における歌声合成による教師データ拡張の検討," 音学シンポジウム, vol. 123, no. 88 (no. SP2023-4), pp. 14–19, 2023年6月.

木下 裕磨, 山岡 洸瑛, 貴家 仁志, "画像アライメントを目的とした 2 次元相互相関関数の補助関数法に基づく最大化," 電子情報通信学会 信号処理シンポジウム, 2023年11月.

髙橋 知宏, ⽊下 裕磨, 若林 佑幸, ⼩野 順貴, 本多 潤, 福⾺ 誠⼠, 中川 浩, "トラフィックカウンタにより取得した学習データに基づく⾳による交通モニタリング," 日本音響学会春季研究発表会, pp. 129–132, 2023年3月.

上坂 奏人, 河内 秀人, 山岡 洸瑛, 若林 佑幸, 木下 裕磨, 小野 順貴, 渡邉 惠, 野口 潤, 一戸 紀孝, ベナー 聖子, 山末 英典, "機械学習によるマーモセットの発声分類とそれに基づく発達に伴う発声変化の分析," 日本音響学会春季研究発表会, pp. 1093–1096, 2023年3月.

赤澤 輝昭, 木下 裕磨, 貴家 仁志, "未知の劣化に頑健な画像分類のための拡散モデルを用いた画像再構成法," 電子情報通信学会 信号処理研究会, vol. 122, no. 388 (no. SIP2022-127), pp. 49–54, 2023年2月.

本山 智司，植野 夏樹，木下 裕磨，小野 順貴, "音光変換デバイス「ブリンキー」を用いた圧縮センシングに基づくスパースなスペクトルの推定," 電子情報通信学会 信号処理シンポジウム, 2022年12月.

升山 義紀, 山岡 洸瑛, 木下 裕磨, 小野 順貴, "因果的MPDRビームフォーマのオンライン化およびタップ長の影響評価," 日本音響学会秋季研究発表会, pp. 155–156, 2022年9月.

河村 隆生, 木下 裕磨, 小野 順貴, シャイブラー ロビン, "音響シーン認識のためのサブアレイ間相関特徴量の検討," 日本音響学会秋季研究発表会, pp. 247–248, 2022年9月.

赤澤 輝昭, 木下 裕磨, 貴家 仁志, "N-ホワイトバランス：複数の照明光環境下での色補正を可能とするホワイトバランス補正法," 電子情報通信学会 画像工学研究会, vol. 122, no. 30 (no. IE2022-5), pp. 25–30, 2022年5月.

飯島 諒太, 木下 裕磨, 貴家 仁志, "特性劣化を生じさせない Vision Transformer モデルのアクセス制御," 電子情報通信学会 マルチメディア情報ハイディング・エンリッチメント研究会, vol. 121, no. 417 (no. EMM2021-104), pp. 70–75, 2022年3月.

城間 佑樹, 木下 裕磨, 井本 桂右, 塩田 さやか, 小野 順貴, 貴家 仁志, "自己符号化器を用いた多チャンネル信号の欠損復元法と 環境音分類における評価," 電子情報通信学会 応用音響研究会, vol. 121, no. 383 (no. EA2021-86), pp. 140–145, 2022年3月.

西田 光佑, 石井 奏人, 植野 夏樹, 木下 裕磨, 小野 順貴, "音光変換デバイス「ブリンキー」の光信号飽和時における伝達係数と信号の推定," 日本音響学会春季研究発表会, pp. 319–320, 2022年3月.

本山 智司, 石井 奏人, 植野 夏樹, 木下 裕磨, 小野 順貴, "音光変換デバイス「ブリンキー」を用いた振幅スペクトルの圧縮センシング," 日本音響学会春季研究発表会, pp. 317–318, 2022年3月.

升山 義紀, 山岡 洸瑛, 木下 裕磨, 小野 順貴, "因果的MPDRビームフォーマの近接分離最適化による設計," 日本音響学会秋季研究発表会, pp. 139–142, 2021年9月.

城間 佑樹, 木下 裕磨, 塩田 さやか, 貴家 仁志, "深層学習に基づく楽器音分類のための画像分類ネットワークを用いたファインチューニング," 情報処理学会音楽情報科学研究会 音学シンポジウム, 2021年6月.

岩本 基裕, 堀池 大樹, 木下 裕磨, 若林 佑幸, 小野 順貴, "直交検波を用いた音光変換デバイス「ブリンキー」のLEDの位置推定," 日本音響学会春季研究発表会, pp. 383–384, 2021年3月.

佐藤 直哉, 堀池 大樹, 若林 佑幸, 木下 裕磨, 小野 順貴, "音光変換デバイス「ブリンキー」を用いた音響信号処理のための信号伝搬シミュレータ," 日本音響学会春季研究発表会, pp. 381–382, 2021年3月.

木下 裕磨, 小野 順貴, "音光変換デバイス「ブリンキー」の信号伝搬過程を考慮したEnd-to-End音響シーン分析," 日本音響学会春季研究発表会, pp. 191–192, 2021年3月.

赤澤 輝昭, 木下 裕磨, 貴家 仁志, "照明光の影響軽減のためのマルチカラーバランスに基づく特定色補正法," 電子情報通信学会 スマートインフォメディアシステム研究会, vol. 120, no. 176 (no. SIS2020-12), pp. 11–16, 2020年10月.

木下 裕磨, 小野 順貴, "深層自己符号化器に基づく音響特徴量の離散符号化," 日本音響学会秋季研究発表会, pp. 321–322, 2020年9月11日.

木下 裕磨, 貴家 仁志, "CIELAB色空間に基づく輝度を排除した色相画像の生成法," 電子情報通信学会 スマートインフォメディアシステム研究会, vol. 120, no. 51 (no. SIS2020-1), pp. 1–6, 2020年6月3日.

伊藤 広樹, 木下 裕磨, 貴家 仁志, "プライバシー保護を考慮したDNNのための画像変換ネットワーク," 電子情報通信学会 画像工学研究会, vol. 119, no. 442 (no. IE2019-75), pp. 195–200, 2020年2月27日.

長我部 恭行, 木下 裕磨, 貴家 仁志, "量子化画像を用いた機械学習法とその影響," 電子情報通信学会 スマートインフォメディアシステム研究会, vol. 119, no. 335 (no. SIS2019-27), pp. 23–28, 2019年12月12日.

木下 裕磨, 貴家 仁志, "チェス盤歪みを考慮した固定畳み込み層を含むCNNとその効果," 電子情報通信学会 信号処理シンポジウム, pp. 216–221, 2019年11月13日.

瀬尾 光希, 木下 裕磨, 貴家 仁志, “多重露出画像を用いた高品質画像生成法の性能評価,” 電子情報通信学会 スマートインフォメディアシステム研究会, vol.119, no.240, (no.SIS2019-13), pp.11–16, 2019年10月24日.

張 偉航, 木下 裕磨, 貴家 仁志, “DNN を用いた画像分類のための画像強調型データ拡張法,” 電子情報通信学会 スマートインフォメディアシステム研究会, vol.119, no.240, (no.SIS2019-11), pp.1–4, 2019年10月24日.

木下 裕磨, 貴家 仁志, “CIELAB色空間に基づく色相補正法,” 電子情報通信学会 信号処理研究会, vol.118, no.496, (no.SIP2018-105), pp.1–6, 2019年3月14日.

瀬尾 光希, アーティット ビサワキットチャロエン, 木下 裕磨, 塩田 さやか, 貴家 仁志, “色相保存を考慮したトーンマッピング法,” 電子情報通信学会 画像工学研究会, vol.118, no.450, (no.IE2018-87), pp.79–84, 2019年2月19日.

郷 地洋, 木下 裕磨, 塩田 さやか, 貴家 仁志,  “SVE画像のための露出補正を用いた多重露出画像合成法,” 電子情報通信学会 スマートインフォメディアシステム研究会, vol.118, no.264, (no.SIS2018-14), pp.25-30, 2018年10月25日. 

木下 裕磨, 貴家 仁志, “LDR画像の学習に基づくCNNを用いた逆トーンマッピング法,” 電子情報通信学会 画像工学研究会, vol.118, no.223, (no.IE2018-34), pp.23-28, 2018年9月27日. 

河村 綾菜, 前川 貴大, 木下 裕磨, 貴家 仁志,  “次元削減を考慮した暗号化領域でのSVM学習法,” 電子情報通信学会 マルチメディア情報ハイディング・エンリッチメント研究会, vol.118, no.224, (no.EMM2018-50), pp.7-12, 2018年9月27日. 

河村 綾菜, 前川 貴大, 木下 裕磨, 貴家 仁志, "EtC画像を用いた暗号化領域でのSVM学習法," 電子情報通信学会 スマートインフォメディアシステム研究会, vol. 118, no. 73, pp. 1-6, 2018年6月16日.

木下 裕磨, 塩田 さやか, 貴家 仁志, “自動露出補正に基づく多重露出画像合成法,” 電子情報通信学会 信号処理研究会, vol. 117, no. 516, (no. SIP2017-145), pp. 191-196, 2018年3月19日.

郷 地洋, 簡 健丞, 木下 裕磨, 塩田 さやか, 貴家 仁志, “デュアルISOセンシングを用いた高ダイナミックシーンにおける高画質生成法,” 電子情報通信学会 画像工学研究会, vol. 117, no. 432, (no.IE2017-114), pp. 251-256, 2018年2月16日.

簡 健丞, 木下 裕磨, 塩田 さやか, 貴家 仁志, “ノイズを考慮したシャドーアップ関数に基づく画像コントラスト強調,” 電子情報通信学会 画像工学研究会, vol. 117, no. 432, (no.IE2017-113), pp. 245-250, 2018年2月16日.

佐田 歩美, 木下 裕磨, 塩田 さやか, 貴家 仁志, “HDR画像のトーンマッピング処理におけるコントラスト強調の効果,” 電子情報通信学会 スマートインフォメディアシステム研究会,  vol.117, no.235, (no.SIS2017-21), pp.1–6, 2017年10月12日. 

前川 貴大, 木下 裕磨, 塩田 さやか, 貴家 仁志, “ランダムユニタリ変換を用いたプライバシー保護を考慮したSVM学習法,” 電子情報通信学会 画像工学研究会, vol.117, no.200, (no.IE2017-36), pp.13–18, 2017年9月4日. 

木下 裕磨, 吉田 太一, 塩田 さやか, 貴家 仁志, “単一画像に基づく擬似的多重露出画像合成法,” 電子情報通信学会 画像工学研究会, vol.117, no.113, (no.IE2017-26), pp.7–12, 2017年6月29日. 

アーティット ビサワキットチャロエン, 木下 裕磨, 塩田 さやか, 貴家 仁志, “構造的適合度を用いたJPEG XT圧縮HDR画像から高品質なLDR画像の生成法,” 電子情報通信学会 画像工学研究会, vol.116, no.464,(no.IE2016-103), pp.19–24, 2017年2月20日. 

木下 裕磨, 塩田 さやか, 貴家 仁志, “Reinhardのグローバルオペレータのための特異点を考慮した逆トーンマッピング法,” 電子情報通信学会 スマートインフォメディアシステム研究会, vol.116, no.344, (no.SIS2016-29), pp.7–12, 2016年12月8日. 

木下 裕磨, 塩田 さやか, 貴家 仁志, “Reinhardのトーンマッピング関数に基づく逆トーンマッピング法,” 電子情報通信学会 信号処理研究会, vol.IEICE-116 , no.95, (no.SIP2016-47), pp.67–72, 2016年6月16日. 

木下 裕磨, 塩田 さやか, 岩橋 政宏, 貴家 仁志, “HDR画像のためのパラメータを用いない逆トーンマッピング法とその応用,” 電子情報通信学会 スマートインフォメディアシステム研究会, vol.115 , no.348, (no.SIS2015-33), pp.23–28, 2015年12月3日.

木下 裕磨, 鈴木 亮, 土橋 俊之, 貴家 仁志, “HDR画像のビット深度スケーラブル符号化,” 映像情報メディア学会 メディア工学研究会, vol.39, no.29, (no.ME2015-75), pp.25–28, 2015年8月3日.

木下 裕磨, 北越 大輔, 鈴木 雅人, "研究ノウハウの提示に基づく研究活動支援システムに関する研究," 電子情報通信学会総合大会講演論文集, vol.2014, no.1, pp.160, 2014年3月21日.