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0 · Hirokatsu Kataoka
1 · hirokatsukataoka16/FractalDB
2 · hirokatsukataoka16 (Hirokatsu Kataoka)
3 · [2004.04968] Would Mega
4 · What’s new?
5 · Replacing Labeled Real
6 · Hirokatsu Kataoka's HP
7 · Hirokatsu Kataoka
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Hirokatsu Kataoka
Hirokatsu KATAOKA, Ph.D. Chief Senior Researcher, AIST, Japan. hirokatsu.kataoka [at] aist.go.jp. Profile. Bio. Hirokatsu Kataoka received his Ph.D. in engineering from Keio .
Nov 24, 2023. Our Paper at BMVC 2023 has been selected as a Best Industry .Projects - Hirokatsu Kataoka's HPRyo Hayamizu, Shota Nakamura, Sora Takashima, Hirokatsu Kataoka, Ikuro .
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hirokatsukataoka16/FractalDB
Awards - Hirokatsu Kataoka's HP
Misc - Hirokatsu Kataoka's HPHirokatsu Kataoka received his Ph.D. in engineering from Keio University in .Hirokatsu Kataoka. AIST / University of Oxford. Verified email at aist.go.jp - Homepage. Computer Vision Action Recognition Action Prediction Visual Pre-training FDSL. . H Kataoka, S .[Submitted on 10 Apr 2020] Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? Hirokatsu Kataoka, Tenga Wakamiya, Kensho Hara, Yutaka Satoh. How can we .
Summary. The repository contains a Fractal Category Search, FractalDB Construction, Pre-training, and Fine-tuning in Python/PyTorch. The repository is based on the paper: Hirokatsu Kataoka, Kazushige Okayasu, .
Image recognition has greatly benefited from labeled real-image datasets. Conventional image datasets comprise real images of various objects on a general background annotated by .Chief Senior Researcher at AIST / PI at cvpaper.challenge / Computer Vision & Pattern Recognition - hirokatsukataoka16.Hirokatsu KATAOKA, Researcher | Cited by 3,696 | of National Institute of Advanced Industrial Science and Technology, Tsukuba | Read 146 publications | Contact Hirokatsu KATAOKA.
Hirokatsu Kataoka Researcher, Department of Engineering Science, University of Oxford Principal Researcher, Artificial Intelligence Research Center, National Institute of Advanced Industrial .Semantic Scholar profile for Hirokatsu Kataoka, with 486 highly influential citations and 133 scientific research papers.Nov 24, 2023. Our Paper at BMVC 2023 has been selected as a Best Industry Paper Finalist [Link].
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Hirokatsu Kataoka received his Ph.D. in engineering from Keio University in 2014. His research experience includes visiting scientist at Technical University of Munich (TUM) and JSPS Fellow (PD) at the University of Tokyo. Currently, he is a Chief Senior Researcher at National Institute of Advanced Industrial Science and Technology (AIST).
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Semantic Scholar profile for Hirokatsu Kataoka, with 486 highly influential citations and 133 scientific research papers. Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 222,127,660 papers from all fields of science. Search. Sign In Create Free Account.
Hirokatsu Kataoka received his Ph.D. in engineering from Keio University in 2014. His research experience includes visiting scientist at Technical University of Munich (TUM) and JSPS Fellow (PD) at the University of Tokyo. Currently, he is a Chief Senior Researcher at National Institute of Advanced Industrial Science and Technology (AIST).We would like to replace Supervised/Self-supervised Learning! Is it possible to use convolutional neural networks pre-trainedwithout any natural images to assist natural image understanding?Hirokatsu Kataoka received his Ph.D. in engineering from Keio University in 2014. His research experience includes visiting scientist at Technical University of Munich (TUM) and JSPS Fellow (PD) at the University of Tokyo. Currently, he is a Chief Senior Researcher at National Institute of Advanced Industrial Science and Technology (AIST).Hirokatsu Kataoka. AIST / University of Oxford. Verified email at aist.go.jp - Homepage. Computer Vision Action Recognition Action Prediction Visual Pre-training FDSL. . H Kataoka, S Shirakabe, Y Miyashita, A Nakamura, K Iwata, Y Satoh. arXiv pre-print 1604.07513, 2016. 27 * 2016:
From: Hirokatsu Kataoka [v1] Thu, 21 Jan 2021 09:47:32 UTC (6,348 KB) Full-text links: Access Paper: View a PDF of the paper titled Pre-training without Natural Images, by Hirokatsu Kataoka and Kazushige Okayasu and Asato Matsumoto and Eisuke Yamagata and Ryosuke Yamada and Nakamasa Inoue and Akio Nakamura and Yutaka Satoh. View PDF; .fkensho.hara, hirokatsu.kataoka, [email protected] Abstract Convolutional neural networks with spatio-temporal 3D kernels (3D CNNs) have an ability to directly extract spatio-temporal features from videos for action recognition. Al-though the 3D kernels tend to overfit because of a .
3, , , , , , , , , .Hirokatsu Kataoka received his Ph.D. in engineering from Keio University in 2014. His research experience includes visiting scientist at Technical University of Munich (TUM) and JSPS Fellow (PD) at the University of Tokyo. Currently, he is a Chief Senior Researcher at National Institute of Advanced Industrial Science and Technology (AIST).Yun He, Soma Shirakabe (Tsukuba/AIST), Yutaka Satoh, Hirokatsu Kataoka (AIST) Related Links. PDF; Slide; Poster; Other Projects. cvpaper.challenge. We are finding a collaborator to read/write a sophisticated paper! Pre-training without Natural Images. We would like to replace Supervised/Self-supervised Learning!
7. Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh, \Motion Representation with Acceleration Images", ECCV 2016 Workshop on Brave New Ideas for Motion Representations in Videos (BNMW), Oct. 2016. 8. Hirokatsu Kataoka, Yudai Miyashita, Masaki Hayashi, Kenji Iwata, Yutaka Satoh, \Recognition of Transitional Action for Short-Term Ac-Chief Senior Researcher at AIST / PI at cvpaper.challenge / Computer Vision & Pattern Recognition - hirokatsukataoka16Hirokatsu KATAOKA, Ph.D. Chief Senior Researcher, AIST, Japan. hirokatsu.kataoka [at] aist.go.jp. Profile. Bio. Hirokatsu Kataoka received his Ph.D. in engineering from Keio University in 2014. His research experience includes visiting scientist at Technical University of Munich (TUM) and JSPS Fellow (PD) at the University of Tokyo.Hirokatsu Kataoka. AIST / University of Oxford. Verified email at aist.go.jp - Homepage. Computer Vision Action Recognition Action Prediction Visual Pre-training FDSL. . H Kataoka, S Shirakabe, Y Miyashita, A Nakamura, K Iwata, Y Satoh. arXiv pre-print 1604.07513, 2016. 27 * 2016:
[Submitted on 10 Apr 2020] Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? Hirokatsu Kataoka, Tenga Wakamiya, Kensho Hara, Yutaka Satoh. How can we collect and use a video dataset to further improve spatiotemporal 3D . Summary. The repository contains a Fractal Category Search, FractalDB Construction, Pre-training, and Fine-tuning in Python/PyTorch. The repository is based on the paper: Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura and Yutaka Satoh, "Pre-training without Natural .
Image recognition has greatly benefited from labeled real-image datasets. Conventional image datasets comprise real images of various objects on a general background annotated by humans. A visual representation can be ac-quired by learning from real images with such annotations.
Chief Senior Researcher at AIST / PI at cvpaper.challenge / Computer Vision & Pattern Recognition - hirokatsukataoka16.Hirokatsu KATAOKA, Researcher | Cited by 3,696 | of National Institute of Advanced Industrial Science and Technology, Tsukuba | Read 146 publications | Contact Hirokatsu KATAOKA.
Hirokatsu Kataoka Researcher, Department of Engineering Science, University of Oxford Principal Researcher, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST)
Semantic Scholar profile for Hirokatsu Kataoka, with 486 highly influential citations and 133 scientific research papers.
hirokatsukataoka16 (Hirokatsu Kataoka)
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hirokatsu kataoka prada|What’s new?
