Hirokatsu Kataoka

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Research Scientist at Computer Vision Research Group at National Institute of Advanced Industrial Science and Technology (AIST)

Describing and Localizing Multiple Changes with Transformers

Change captioning tasks aim to detect changes in image pairs observed be...
03/25/2021 ∙ by Yue Qiu, et al. ∙ 10 ∙ share

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Can Vision Transformers Learn without Natural Images?

Can we complete pre-training of Vision Transformers (ViT) without natura...
03/24/2021 ∙ by Kodai Nakashima, et al. ∙ 92 ∙ share

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Pre-training without Natural Images

Is it possible to use convolutional neural networks pre-trained without ...
01/21/2021 ∙ by Hirokatsu Kataoka, et al. ∙ 23 ∙ share

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Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data

We propose a novel network initialization method using Perlin noise for ...
01/19/2021 ∙ by Nakamasa Inoue, et al. ∙ 11 ∙ share

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Alleviating Over-segmentation Errors by Detecting Action Boundaries

We propose an effective framework for the temporal action segmentation t...
07/14/2020 ∙ by Yuchi Ishikawa, et al. ∙ 0 ∙ share

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Retrieving and Highlighting Action with Spatiotemporal Reference

In this paper, we present a framework that jointly retrieves and spatiot...
05/19/2020 ∙ by Seito Kasai, et al. ∙ 9 ∙ share

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Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

How can we collect and use a video dataset to further improve spatiotemp...
04/10/2020 ∙ by Hirokatsu Kataoka, et al. ∙ 2 ∙ share

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Weakly Supervised Dataset Collection for Robust Person Detection

To construct an algorithm that can provide robust person detection, we p...
03/27/2020 ∙ by Munetaka Minoguchi, et al. ∙ 27 ∙ share

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Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation

Unpaired image-to-image (I2I) translation has received considerable atte...
02/29/2020 ∙ by Takehiko Ohkawa, et al. ∙ 13 ∙ share

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What Do Adversarially Robust Models Look At?

In this paper, we address the open question: "What do adversarially robu...
05/19/2019 ∙ by Takahiro Itazuri, et al. ∙ 0 ∙ share

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Automatic Paper Summary Generation from Visual and Textual Information

Due to the recent boom in artificial intelligence (AI) research, includi...
11/16/2018 ∙ by Shintaro Yamamoto, et al. ∙ 24 ∙ share

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Understanding Fake Faces

Face recognition research is one of the most active topics in computer v...
09/22/2018 ∙ by Ryota Natsume, et al. ∙ 6 ∙ share

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Neural Joking Machine : Humorous image captioning

What is an effective expression that draws laughter from human beings? I...
05/30/2018 ∙ by Kota Yoshida, et al. ∙ 0 ∙ share

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Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB

In this paper, we propose a novel approach for traffic accident anticipa...
04/08/2018 ∙ by Tomoyuki Suzuki, et al. ∙ 0 ∙ share

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Drive Video Analysis for the Detection of Traffic Near-Miss Incidents

Because of their recent introduction, self-driving cars and advanced dri...
04/07/2018 ∙ by Hirokatsu Kataoka, et al. ∙ 0 ∙ share

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Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

The purpose of this study is to determine whether current video datasets...
11/27/2017 ∙ by Kensho Hara, et al. ∙ 0 ∙ share

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Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

Convolutional neural networks with spatio-temporal 3D kernels (3D CNNs) ...
08/25/2017 ∙ by Kensho Hara, et al. ∙ 0 ∙ share

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cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey

The paper gives futuristic challenges disscussed in the cvpaper.challeng...
07/20/2017 ∙ by Hirokatsu Kataoka, et al. ∙ 0 ∙ share

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Collaborative Descriptors: Convolutional Maps for Preprocessing

The paper presents a novel concept for collaborative descriptors between...
05/10/2017 ∙ by Hirokatsu Kataoka, et al. ∙ 0 ∙ share

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Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database

In this paper, we aim to estimate the Winner of world-wide film festival...
04/07/2017 ∙ by Yuta Matsuzaki, et al. ∙ 0 ∙ share

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Changing Fashion Cultures

The paper presents a novel concept that analyzes and visualizes worldwid...
03/23/2017 ∙ by Kaori Abe, et al. ∙ 0 ∙ share

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Motion Representation with Acceleration Images

Information of time differentiation is extremely important cue for a mot...
08/30/2016 ∙ by Hirokatsu Kataoka, et al. ∙ 0 ∙ share

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Human Action Recognition without Human

The objective of this paper is to evaluate "human action recognition wit...
08/29/2016 ∙ by Yun He, et al. ∙ 0 ∙ share

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cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey

The "cvpaper.challenge" is a group composed of members from AIST, Tokyo ...
05/26/2016 ∙ by Hirokatsu Kataoka, et al. ∙ 0 ∙ share

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Semantic Change Detection with Hypermaps

Change detection is the study of detecting changes between two different...
04/26/2016 ∙ by Teppei Suzuki, et al. ∙ 0 ∙ share

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Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection

In this paper, we evaluate convolutional neural network (CNN) features u...
09/25/2015 ∙ by Hirokatsu Kataoka, et al. ∙ 0 ∙ share

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Hirokatsu Kataoka

Featured Co-authors

Yutaka Satoh

Nakamasa Inoue

Asako Kanezaki

Yun He

Akio Nakamura

Teppei Suzuki

Shigeo Morishima

Kaori Abe

Naoto Inoue

Ryota Natsume

Soma Shirakabe

Describing and Localizing Multiple Changes with Transformers

Can Vision Transformers Learn without Natural Images?

Pre-training without Natural Images

Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data

Alleviating Over-segmentation Errors by Detecting Action Boundaries

Retrieving and Highlighting Action with Spatiotemporal Reference

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

Weakly Supervised Dataset Collection for Robust Person Detection

Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation

What Do Adversarially Robust Models Look At?

Automatic Paper Summary Generation from Visual and Textual Information

Understanding Fake Faces

Neural Joking Machine : Humorous image captioning

Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB

Drive Video Analysis for the Detection of Traffic Near-Miss Incidents

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey

Collaborative Descriptors: Convolutional Maps for Preprocessing

Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database

Changing Fashion Cultures

Motion Representation with Acceleration Images

Human Action Recognition without Human

cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey

Semantic Change Detection with Hypermaps

Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection