About

I am a Distinguished Researcher at NTT Communication Science Laboratories in NTT Corporation.
I completed the Ph.D. at the University of Tokyo, under the supervision of Tatsuya Harada, in 2020. I received the BE and ME degrees from the University of Tokyo in 2012 and 2014, respectively.
I joined the Recognition Research Group at Media Information Laboratory in NTT Communication Science Laboratories in 2014.
My research interests include computer vision, signal processing, and machine learning. In particular, I am currently working on image synthesis, speech synthesis, and voice conversion using deep generative models (e.g., GANs).

Google Scholar / Semantic Scholar / dblp / GitHub

Job Opportunities We are hiring! Please check the following page if interested: Japanese / English

News

  • International
    • Two papers accepted to ICASSP 2024.

  • International
    • One paper accepted to SLT 2022. Distilling S2S-VC
    • I was selected as Outstanding Reviewer at ICML 2022 (Top 10%). List
    • Two papers accepted to Interspeech 2022. MISRNet / CAUSE
    • A review on AR-GAN was published in NTT Technical Review. Website
    • An interview was published in NTT Technical Review. Website
    • One paper accepted to CVPR 2022. AR-NeRF
    • One paper accepted to ICASSP 2022. iSTFTNet
  • Domestic (Japanese)
    • I will present an invited talk at The 72th ODG Seminar. Program
    • I will present an invited talk at The 118th AVM Seminar. Program
    • I will present an invited talk on AR-GAN at FIT 2022. Program
    • I will present an invited talk on AR-NeRF at MIRU 2022. Program
    • A review on AR-GAN was published in Hikari Gijutsu Contact. Contents
    • I wrote a chapter in a book published by Kyoritsu Shuppan. CV Saizensen Summer 2022
    • I will exhibit our research – AR-GAN and AR-NeRF – at NTT CS Labs Open House 2022. Website
    • I will present a lecture on generative model (particularly, GANs) at the Unversity of Tokyo. Course catalogue
    • An interview was published in NTT Technical Journal. Website
    • A review on image synthesis and voice conversion was published in The Journal of IEICE. Contents
    • I serve as an Area Chair for MIRU 2022. List

  • International
    • I will present an invited talk at IDW 2021. Program
    • I will present an invited talk at RIMS Workshop in Biofluids 2021. Program
    • Two papers accepted to CVPR 2021 (1 oral, 1 poster). AR-GAN / BNCR-GAN
    • One paper submitted to arXiv. FastS2S-VC
    • One paper accepted to ICASSP 2021. MaskCycleGAN-VC
  • Domestic (Japanese)
    • I will present an invited talk at MIRU 2021. Program
    • The news release was published. News release
    • I will present an invited talk at OTOGAKU Symposium 2021. Program

  • International
    • One paper accepted to IEEE/ACM Trans. ASLP. Many-to-Many VTN
    • I will present an invited talk at ACCV Workshops 2020 (MLCSA). Program
    • One paper accepted to IEEE/ACM Trans. ASLP. A-StarGAN-VC
    • One paper submitted to arXiv. VoiceGrad
    • One paper accepted to Interspeech 2020. CycleGAN-VC3
    • One paper accepted to IEEE/ACM Trans. ASLP. ConvS2S-VC
    • I became a Distinguished Researcher from April 2020. Introduction
    • One paper submitted to arXiv. BNCR-GAN
    • One paper accepted to CVPR 2020 (acceptance rate: 22.1%). NR-GAN
  • Domestic (Japanese)
    • I uploaded the GAN tutorial slides presented at JSAI 2020. GAN Tutorial
    • I will present a tutorial on GAN at JSAI 2020. Program
    • I served as Graduate Student Representative of Graduate School.
    • I received Dean's Award for Best Doctoral Thesis.

  • International
    • One paper submitted to arXiv. NR-GAN
    • I was selected as Outstanding Reviewer at ICCV 2019 (Top 91). List
    • One paper accepted to BMVC 2019 (Spotlight). CP-GAN
    • One paper accepted to Interspeech 2019. StarGAN-VC2
    • One paper accepted to IEEE/ACM Trans. ASLP. ACVAE-VC
    • One paper submitted to arXiv. RMIT
    • One paper accepted to CVPR 2019 (Oral, acceptance rate: 5.6%). rGAN
    • Two papers submitted to arXiv. WaveCycleGAN2 / Crossmodal VC
    • Two papers accepted to ICASSP 2019. CycleGAN-VC2 / AttS2S-VC
  • Domestic (Japanese)
    • I uploaded the GAN tutorial slides presented at MIRU 2019. GAN Tutorial
    • I will present an invited talk on DTLC-GAN and rGAN at FIT 2019. Program
    • I will present an invited talk on rGAN at MIRU 2019. Program
    • I will present a tutorial on GAN at MIRU 2019. Abstract


Publications

Computer Vision

Frame-Level Event Representation Learning for Semantic-Level Generation and Editing of Avatar Motion New!
Ayaka Ideno, Takuhiro Kaneko, Tatsuya Harada
ICMI 2023
Paper / Code
MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields New!
Takuhiro Kaneko
ICCV 2023
Paper / Projects
Unsupervised Intrinsic Image Decomposition with LiDAR Intensity New!
Shogo Sato, Yasuhiro Yao, Taiga Yoshida, Takuhiro Kaneko, Shingo Ando, Jun Shimamura
CVPR 2023 (arXiv:2303.10820, Mar. 2023)
Paper / Dataset
AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields New!
Takuhiro Kaneko
CVPR 2022 (arXiv:2206.06100, June 2022)
Paper / Project
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks
Takuhiro Kaneko
CVPR 2021 (Oral) (arXiv:2106.13041, June 2021)
Paper / Project / Slides / Poster / News Release (Japanese)
Blur, Noise, and Compression Robust Generative Adversarial Networks
Takuhiro Kaneko, Tatsuya Harada
CVPR 2021 (arXiv:2003.07849, Mar. 2020)
Paper / Project / Slides / Poster
Noise Robust Generative Adversarial Networks
Takuhiro Kaneko, Tatsuya Harada
CVPR 2020 (arXiv:1911.11776, Nov. 2019)
Paper / Project / Code / Slides / Video
Class-Distinct and Class-Mutual Image Generation with GANs
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada
BMVC 2019 (Spotlight) (arXiv:1811.11163, Nov. 2018)
Paper / Project / Code / Slides / Poster
Label-Noise Robust Multi-Domain Image-to-Image Translation
Takuhiro Kaneko, Tatsuya Harada
arXiv:1905.02185, May 2019
Paper
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada
CVPR 2019 (Oral) (arXiv:1811.11165, Nov. 2018)
Paper / Project / Code / Slides / Poster / Talk
Generative Adversarial Image Synthesis with Decision Tree Latent Controller
Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
CVPR 2018 (arXiv:1805.10603, May 2018)
Paper / Project / Poster
Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks
Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
CVPR 2017
Paper / Supplemental / Project
Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks
Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
ACMMM 2016
Paper
Collective Activity Localization by Spatiality Preservation Search
Shigeyuki Odashima, Masamichi Shimosaka, Takuhiro Kaneko, Rui Fukui, Tomomasa Sato
Advanced Robotics 30(11-12), Mar. 2016
Paper
A Fully Connected Model for Consistent Collective Activity Recognition in Videos
Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato
Pattern Recognition Letters 43, July 2014
Paper / Project
Consistent Collective Activity Recognition with Fully Connected CRFs
Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato
ICPR 2012 (Best Student Paper Award)
Paper / Project
Collective Activity Localization with Contextual Spatial Pyramid
Shigeyuki Odashima, Masamichi Shimosaka, Takuhiro Kaneko, Rui Fukui, Tomomasa Sato
ECCV Workshops 2012
Paper
Viewpoint Invariant Collective Activity Recognition with Relative Action Context
Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato
ECCV Workshops 2012
Paper / Project

Speech Processing

W2N-AVSC: Audiovisual Extension for Whisper-to-Normal Speech Conversion New!
Shogo Seki, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Noboru Harada
EUSIPCO 2023
Paper
PRVAE-VC: Non-parallel Many-to-Many Voice Conversion with Perturbation-Resistant Variational Autoencoder New!
Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko
SSW 2023
Paper / Project
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN New!
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki
Interspeech 2023
Paper / Project
CFVC: Conditional Filtering for Controllable Voice Conversion New!
Kou Tanaka, Takuhiro Kaneko, Hirokazu Kameoka, Shogo Seki
Interspeech 2023
Paper / Project
Non-parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder New!
Shogo Seki, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka
IEEE Access
Paper
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis New!
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki
ICASSP 2023 (arXiv:2303.13909, Mar. 2023)
Paper / Project
JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models New!
Shogo Seki, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko
ICASSP 2023
Paper
Distilling Sequence-to-Sequence Voice Conversion Models For Streaming Conversion Applications New!
Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki
SLT 2022
Paper / Project
MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks New!
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki
Interspeech 2022
Paper / Project
CAUSE: Crossmodal Action Unit Sequence Estimation from Speech New!
Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki, Kou Tanaka
Interspeech 2022
Paper / Project
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform New!
Takuhiro Kaneko, Kou Tanaka, Hirokazu Kameoka, Shogo Seki
ICASSP 2022 (arXiv:2203.02395, Mar. 2022)
Paper / Project
FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion
Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko
arXiv:2104.06900, Apr. 2021
Paper / Project 1 (ConvS2S-VC2) / Project 2 (Transformer-VC2)
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo
ICASSP 2021 (arXiv:2102.12841, Feb. 2021)
Paper / Project / Slides / Poster
VoiceGrad: Non-parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Shogo Seki
arXiv:2010.02977, Oct. 2020
Paper / Project
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., 29, Dec. 2020 (arXiv:2005.08445, May 2020)
Paper / IEEE Xplore / Project
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo
Interspeech 2020 (arXiv:2010.11672, Oct. 2020)
Paper / Project / Slides
Nonparallel Voice Conversion with Augmented Classifier Star Generative Adversarial Networks
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, and Nobukatsu Hojo
IEEE/ACM Trans. Audio Speech Lang. Process., 28, Nov. 2020 (arXiv:2008.12604, Aug. 2020)
Paper / IEEE Xplore
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo
Interspeech 2019 (arXiv:1907.12279, July 2019)
Paper / Project / Poster
Crossmodal Voice Conversion
Hirokazu Kameoka, Kou Tanaka, Aaron Valero Puche, Yasunori Ohishi, Takuhiro Kaneko
arXiv:1904.04540, Apr. 2019
Paper / Project
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation
Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo
arXiv:1904.02892, Apr. 2019
Paper / Project
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo
ICASSP 2019 (arXiv:1904.04631, Apr. 2019)
Paper / Project / Poster
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms
Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo
ICASSP 2019 (arXiv:1811.04076, Nov. 2018)
Paper / Project
ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion
Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo
IEEE/ACM Trans. Audio Speech Lang. Process., 28, June 2020 (arXiv:1811.01609, Nov. 2018)
Paper / IEEE Xplore / Project
WaveCycleGAN: Synthetic-to-Natural Speech Waveform Conversion Using Cycle-Consistent Adversarial Networks
Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka
SLT 2018 (arXiv:1809.10288, Sept. 2018)
Paper / Project
ACVAE-VC: Non-parallel Voice Conversion with Auxiliary Classifier Variational Autoencoder
(Alternative title: ACVAE-VC: Non-parallel Many-to-Many Voice Conversion with Auxiliary Classifier Variational Autoencoder)
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo
IEEE/ACM Trans. Audio Speech Lang. Process., 27(9), Sept. 2019 (arXiv:1808.05092, Aug. 2018)
Paper / IEEE Xplore / Project
Automatic Speech Pronunciation Correction with Dynamic Frequency Warping-Based Spectral Conversion
Nobukatsu Hojo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko
EUSIPCO 2018
Paper
StarGAN-VC: Non-parallel Many-to-Many Voice Conversion with Star Generative Adversarial Networks
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo
SLT 2018 (arXiv:1806.02169, June 2018)
Paper / Project
Generative Adversarial Network-based Approach to Signal Reconstruction from Magnitude Spectrograms
Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Hiroyasu Ando
EUSIPCO 2018 (arXiv:1804.02181, Apr. 2018)
Paper
CycleGAN-VC: Non-parallel Voice Conversion Using Cycle-Consistent Adversarial Networks
(Alternative title: Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks)
Takuhiro Kaneko, Hirokazu Kameoka
EUSIPCO 2018 (arXiv:1804.02181, Nov. 2017)
Paper / Project
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 ASC 2017
Paper
Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks
Takuhiro Kaneko, Hirokazu Kameoka, Kaoru Hiramatsu, Kunio Kashino
Interspeech 2017
Paper
Generative Adversarial Network-based Postfilter for STFT Spectrograms
Takuhiro Kaneko, Shiji Takaki, Hirokazu Kameoka, Junichi Yamagishi
Interspeech 2017
Paper / Project
Generative Adversarial Network-based Postfilter for Statistical Parametric Speech Synthesis
Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, Kunio Kashino
ICASSP 2017
Paper

Intelligent Transportation Systems

Modeling Risk Anticipation and Defensive Driving on Residential Roads with Inverse Reinforcement Learning
Masamichi Shimosaka, Takuhiro Kaneko, Kentaro Nishi
ITSC 2014
Paper / Project

Books / Interviews / Reviews

Unsupervised Depth and Bokeh Learning from Natural Images Using Aperture Rendering Generative Adversarial Networks New!
Takuhiro Kaneko
NTT Technical Review, 20(7), July 2022
Website / Paper
Learning 3D Information from 2D Images Using Aperture Rendering Generative Adversarial Networks toward Developing a Computer that "Understands the 3D World" New!
Takuhiro Kaneko
NTT Technical Review, 20(7), July 2022 (NTT Technical Journal, 34(5), May 2022)
Website / Paper
Website (Japanese) / Paper (Japanese)
Unsupervised Learning of Depth and Bokeh Effects from Natural Images using AR-GAN New!
Takuhiro Kaneko
Hikari Gijutsu Contact, 60(6), June 2022
Contents (Japanese)
Fukayomi Noise Robust GAN New!
Takuhiro Kaneko
Computer Vision Saizensen Summer 2022, Kyoritsu Shuppan, June 2022
Contents (Japanese)
Advancement and Application of Deep Generative Models in Image Synthesis and Voice Conversion New!
Takuhiro Kaneko
The Journal of the Institute of Electronics Information and Communication Engineers, 105(5), May 2022
Contents (Japanese)
Communication with Desired Voice
Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka
NTT Technical Review, 18(11), Nov. 2020 (NTT Technical Journal, 32(9), Sept. 2020)
Paper / Paper (Japanese)
Generative Adversarial Networks: Foundations and Applications
Takuhiro Kaneko
Acoustical Science and Technology, 39(3), May 2018
Paper / Paper (Japanese)
Generative Personal Assistance with Audio and Visual Examples
Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
NTT Technical Review, 15(11), Nov. 2017 (NTT Technical Journal, 29(9), Sept. 2017)
Paper / Paper (Japanese)

Talks / Exhibitions

[Tutorial] Image Generation with GANs and Its Applications New!
Takuhiro Kaneko
The IPSJ Continuous Seminar, 2023 (in Japanese)
Program (Japanese)
[Invited Talk] Learning 3D Information from 2D Images with Deep Generative Models:
Advancements in Optics-Based Deep Generative Models
New!
Takuhiro Kaneko
The 72th ODG Seminar, 2022 (in Japanese)
Program (Japanese)
[Invited Talk] Report on CVPR 2022 and Introduction of Our CVPR 2022 Papers New!
Takuhiro Kaneko, Shoichiro Takeda
AVM 2022 (in Japanese)
Program (Japanese)
[Invited Talk] Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks (CVPR 2021) New!
Takuhiro Kaneko
FIT 2022 (in Japanese)
Program (Japanese)
[Invited Talk] AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields (CVPR 2022) New!
Takuhiro Kaneko
MIRU 2022 (in Japanese)
Program (Japanese)
[Exhibition] Flexible Bokeh Renderer Based on Predicted Depth New!
Takuhiro Kaneko
NTT Communication Science Laboratories Open House 2022
Website / Website (Japanese)
[Invited Talk] Image Synthesis and Voice Conversion Using Generative Adversarial Networks
Takuhiro Kaneko
IDW 2021
Program
[Invited Talk] Learning to Generate Images with Generative Adversarial Networks
Takuhiro Kaneko
RIMS Workshop 2021
Program
[Invited Talk] Blur, Noise, and Compression Robust Generative Adversarial Networks (CVPR 2021)
Takuhiro Kaneko, Tatsuya Harada
MIRU 2021 (in Japanese)
Program (Japanese)
[Invited Talk] Image Synthesis and Voice Conversion with Generative Adversarial Networks
Takuhiro Kaneko
OTOGAKU Symposium 2021 (in Japanese)
Program (Japanese)
[Invited Talk] Learning to Generate Images with Imperfect Supervision
Takuhiro Kaneko
ACCV Workshops 2020 (MLCSA)
Program
[Tutorial] Foundations, Advances, and Applications of Generative Adversarial Networks
Takuhiro Kaneko
JSAI 2020 (in Japanese)
Program (Japanese) / Slides (Japanese)
[Invited Talk] Voice Conversion with Image-to-Image Translation and Sequence-to-Sequence Learning Approaches
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo
SANE 2019
Video / Program
[Invited Talk] Generative Adversarial Image Synthesis with Decision Tree Latent Controller (CVPR 2018)1
Label-Noise Robust Generative Adversarial Networks (CVPR 2019)2

1Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
2Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada
FIT 2019 (in Japanese)
Program (Japanese)
[Invited Talk] Label-Noise Robust Generative Adversarial Networks (CVPR 2019)
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada
MIRU 2019 (in Japanese)
Program (Japanese)
[Tutorial] Foundations, Advances, and Applications of Generative Adversarial Networks
Takuhiro Kaneko
MIRU 2019 (in Japanese)
Abstract (Japanese) / Slides (Japanese)
[Tutorial] Foundations, Advances, and Applications of Generative Adversarial Networks: From Image Generation to Speech Synthesis and Voice Conversion
Takuhiro Kaneko
The 75th JSAI Seminar, 2018 (in Japanese)
Abstract (Japanese)
[Invited Talk] Generative Adversarial Networks: Foundations and Applications
Takuhiro Kaneko
JAMIT 2018 (in Japanese)
Abstract (Japanese)
[Exhibition] Creating Favorite Images with Selective Decisions: Hierarchical Image Analysis and Synthesis with DTLC-GAN
Takuhiro Kaneko
NTT Communication Science Laboratories Open House 2018
Poster / Poster (Japanese)
[Exhibition] Free-Feature-Point Image Generation: Interactive and Flexible Image Generation with Deep Learning
Takuhiro Kaneko
NTT R&D Forum 2018
Poster / Poster (Japanese)
[Invited Talk] Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks (CVPR 2017)
Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
MIRU 2017 (in Japanese)
Program (Japanese)
[Exhibition] Generative Personal Assistance with Audio and Visual Examples: Deep Learning Opens the Way to Innovative Media Generation
Takuhiro Kaneko
NTT Communication Science Laboratories Open House 2017
Paper / Abstract / Poster
Paper (Japanese) / Abstract (Japanese) / Poster (Japanese)

Lectures

  • Generative Model, GANs
    Intelligent Informatics
    Graduate School of Information Science and Technology, The University of Tokyo, May 19th, 2022
  • Generative Model, GANs
    Intelligent Informatics
    Graduate School of Information Science and Technology, The University of Tokyo, June 25th, 2020

Awards & Honors