Viewpoint Invariant Collective Activity Recognition with Relative Action Context. - Takuhiro Kaneko; Masamichi Shimosaka; Shigeyuki Odashima; Rui Fukui; Tomomasa Sato (ECCV Workshops (3), 2012)

Collective Activity Localization with Contextual Spatial Pyramid. - Shigeyuki Odashima; Masamichi Shimosaka; Takuhiro Kaneko; Rui Fukui; Tomomasa Sato (ECCV Workshops (3), 2012)

Consistent collective activity recognition with fully connected CRFs. - Takuhiro Kaneko; Masamichi Shimosaka; Shigeyuki Odashima; Rui Fukui; Tomomasa Sato (ICPR, 2012)

Modeling risk anticipation and defensive driving on residential roads with inverse reinforcement learning. - Masamichi Shimosaka; Takuhiro Kaneko; Kentaro Nishi (ITSC, 2014)

A fully connected model for consistent collective activity recognition in videos. - Takuhiro Kaneko; Masamichi Shimosaka; Shigeyuki Odashima; Rui Fukui; Tomomasa Sato (Pattern Recognit. Lett., 2014)

Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks. - Takuhiro Kaneko; Kaoru Hiramatsu; Kunio Kashino (ACM Multimedia, 2016)

Collective activity localization by spatiality preservation search. - Shigeyuki Odashima; Masamichi Shimosaka; Takuhiro Kaneko; Rui Fukui; Tomomasa Sato (Adv. Robotics, 2016)

Non-native speech conversion with consistency-aware recursive network and generative adversarial network. - Keisuke Oyamada; Hirokazu Kameoka; Takuhiro Kaneko; Hiroyasu Ando; Kaoru Hiramatsu; Kunio Kashino (APSIPA, 2017)

Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks. - Takuhiro Kaneko; Kaoru Hiramatsu; Kunio Kashino (CVPR, 2017)

Generative adversarial network-based postfilter for statistical parametric speech synthesis. - Takuhiro Kaneko; Hirokazu Kameoka; Nobukatsu Hojo; Yusuke Ijima; Kaoru Hiramatsu; Kunio Kashino (ICASSP, 2017)

Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks. - Takuhiro Kaneko; Hirokazu Kameoka; Kaoru Hiramatsu; Kunio Kashino (INTERSPEECH, 2017)

Generative Adversarial Network-Based Postfilter for STFT Spectrograms. - Takuhiro Kaneko; Shinji Takaki; Hirokazu Kameoka; Junichi Yamagishi (INTERSPEECH, 2017)

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks. - Takuhiro Kaneko; Hirokazu Kameoka (CoRR, 2017)

Generative Adversarial Image Synthesis With Decision Tree Latent Controller. - Takuhiro Kaneko; Kaoru Hiramatsu; Kunio Kashino (CVPR, 2018)

Automatic Speech Pronunciation Correction with Dynamic Frequency Warping-Based Spectral Conversion. - Nobukatsu Hojo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (EUSIPCO, 2018)

CycleGAN-VC: Non-parallel Voice Conversion Using Cycle-Consistent Adversarial Networks. - Takuhiro Kaneko; Hirokazu Kameoka (EUSIPCO, 2018)

Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram. - Keisuke Oyamada; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo; Hiroyasu Ando (EUSIPCO, 2018)

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (SLT, 2018)

Synthetic-to-Natural Speech Waveform Conversion Using Cycle-Consistent Adversarial Networks. - Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo; Hirokazu Kameoka (SLT, 2018)

Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms. - Keisuke Oyamada; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo; Hiroyasu Ando (CoRR, 2018)

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (CoRR, 2018)

ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (CoRR, 2018)

WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks. - Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo; Hirokazu Kameoka (CoRR, 2018)

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion. - Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo (CoRR, 2018)

Class-Distinct and Class-Mutual Image Generation with GANs. - Takuhiro Kaneko; Yoshitaka Ushiku; Tatsuya Harada (BMVC, 2019)

Label-Noise Robust Generative Adversarial Networks. - Takuhiro Kaneko; Yoshitaka Ushiku; Tatsuya Harada (CVPR, 2019)

Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (ICASSP, 2019)

ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Nobukatsu Hojo (ICASSP, 2019)

StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (INTERSPEECH, 2019)

WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Nobukatsu Hojo (CoRR, 2019)

Crossmodal Voice Conversion. - Hirokazu Kameoka; Kou Tanaka; Aaron Valero Puche; Yasunori Ohishi; Takuhiro Kaneko (CoRR, 2019)

Label-Noise Robust Multi-Domain Image-to-Image Translation. - Takuhiro Kaneko; Tatsuya Harada (CoRR, 2019)

ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Noise Robust Generative Adversarial Networks. - Takuhiro Kaneko; Tatsuya Harada (CVPR, 2020)

CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (INTERSPEECH, 2020)

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion. - Hirokazu Kameoka; Kou Tanaka; Damian Kwasny; Takuhiro Kaneko; Nobukatsu Hojo (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks. - Takuhiro Kaneko (CVPR, 2021)

Blur, Noise, and Compression Robust Generative Adversarial Networks. - Takuhiro Kaneko; Tatsuya Harada (CVPR, 2021)

Maskcyclegan-VC: Learning Non-Parallel Voice Conversion with Filling in Frames. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (ICASSP, 2021)

FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion. - Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (CoRR, 2021)

Many-to-Many Voice Transformer Network. - Hirokazu Kameoka; Wen-Chin Huang; Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo; Tomoki Toda (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields. - Takuhiro Kaneko (CVPR, 2022)

ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform. - Takuhiro Kaneko; Kou Tanaka; Hirokazu Kameoka; Shogo Seki (ICASSP, 2022)

CAUSE: Crossmodal Action Unit Sequence Estimation from Speech. - Hirokazu Kameoka; Takuhiro Kaneko; Shogo Seki; Kou Tanaka (INTERSPEECH, 2022)

MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (INTERSPEECH, 2022)

Distilling Sequence-to-Sequence Voice Conversion Models for Streaming Conversion Applications. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Shogo Seki (SLT, 2022)

Unsupervised Intrinsic Image Decomposition with LiDAR Intensity. - Shogo Sato; Yasuhiro Yao; Taiga Yoshida; Takuhiro Kaneko; Shingo Ando; Jun Shimamura (CVPR, 2023)

W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion. - Shogo Seki; Kanami Imamura; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Noboru Harada (EUSIPCO, 2023)

Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (ICASSP, 2023)

JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models. - Shogo Seki; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (ICASSP, 2023)

MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields. - Takuhiro Kaneko (ICCV, 2023)

Frame-Level Event Representation Learning for Semantic-Level Generation and Editing of Avatar Motion. - Ayaka Ideno; Takuhiro Kaneko; Tatsuya Harada (ICMI, 2023)

iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (INTERSPEECH, 2023)

CFVC: Conditional Filtering for Controllable Voice Conversion. - Kou Tanaka; Takuhiro Kaneko; Hirokazu Kameoka; Shogo Seki (INTERSPEECH, 2023)

PRVAE-VC: Non-Parallel Many-to-Many Voice Conversion with Perturbation-Resistant Variational Autoencoder. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko (SSW, 2023)

Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder. - Shogo Seki; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka (IEEE Access, 2023)

Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization. - Takuhiro Kaneko (CVPR, 2024)

Learning to Assess Subjective Impressions from Speech. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko; Noboru Harada (EUSIPCO, 2024)

Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka (ICASSP, 2024)

Selecting N-Lowest Scores for Training MOS Prediction Models. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (ICASSP, 2024)

FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Yuto Kondo (INTERSPEECH, 2024)

PRVAE-VC2: Non-Parallel Voice Conversion by Distillation of Speech Representations. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Yuto Kondo (INTERSPEECH, 2024)

Unsupervised Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training. - Shogo Sato; Takuhiro Kaneko; Kazuhiko Murasaki; Taiga Yoshida; Ryuichi Tanida; Akisato Kimura (CoRR, 2024)

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo; Shogo Seki (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Structure from Collision. - Takuhiro Kaneko (CVPR, 2025)

Rethinking Mean Opinion Scores in Speech Quality Assessment: Score Aggregation through Quantized Distribution Fitting. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (ICASSP, 2025)

Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training. - Shogo Sato; Takuhiro Kaneko; Kazuhiko Murasaki; Taiga Yoshida; Ryuichi Tanida; Akisato Kimura (WACV, 2025)

Objective, Absolute and Hue-aware Metrics for Intrinsic Image Decomposition on Real-World Scenes: A Proof of Concept. - Shogo Sato; Masaru Tsuchida; Mariko Yamaguchi; Takuhiro Kaneko; Kazuhiko Murasaki; Taiga Yoshida; Ryuichi Tanida (CoRR, 2025)

JIS: A Speech Corpus of Japanese Idol Speakers with Various Speaking Styles. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (CoRR, 2025)

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (CoRR, 2025)