Hirokatsu Kataoka

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 120

Top Venues

Publications

Yuchi Ishikawa, Masayoshi Kondo, Hirokatsu Kataoka
Learnable Cube-based Video Encryption for Privacy-Preserving Action Recognition. WACV (2024)
Ryo Nakamura, Ryu Tadokoro, Eisuke Yamagata, Yusuke Kondo, Kensho Hara, Hirokatsu Kataoka, Nakamasa Inoue
Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. ICASSP (2024)
Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation. CoRR (2024)
Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka
Guided by the Way: The Role of On-the-route Objects and Scene Text in Enhancing Outdoor Navigation. ICRA (2024)
Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CoRR (2024)
Gido Kato, Yoshihiro Fukuhara, Mariko Isogawa, Hideki Tsunashima, Hirokatsu Kataoka, Shigeo Morishima
Scapegoat Generation for Privacy Protection from Deepfake. CoRR (2023)
Gido Kato, Yoshihiro Fukuhara, Mariko Isogawa, Hideki Tsunashima, Hirokatsu Kataoka, Shigeo Morishima
Scapegoat Generation for Privacy Protection from Deepfake. ICIP (2023)
Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. ICCV (2023)
Yamato Okamoto, Osada Genki, Iu Yahiro, Rintaro Hasegawa, Peifei Zhu, Hirokatsu Kataoka
Image Generation and Learning Strategy for Deep Document Forgery Detection. CoRR (2023)
Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi
Frequency-aware GAN for Adversarial Manipulation Generation. ICCV (2023)
Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka
Outdoor Vision-and-Language Navigation Needs Object-Level Alignment. Sensors 23 (13) (2023)
Ryosuke Yamada, Risa Shinoda, Hirokatsu Kataoka
Exploring the Potential of Neural Dataset Search. CVPR Workshops (2023)
Yue Qiu, Yanjun Sun, Fumiya Matsuzawa, Kenji Iwata, Hirokatsu Kataoka
Graph Representation for Order-aware Visual Transformation. CVPR (2023)
Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. CoRR (2023)
Yamato Okamoto, Haruto Toyonaga, Yoshihisa Ijiri, Hirokatsu Kataoka
Constructing Image-Text Pair Dataset from Books. CoRR (2023)
Shuhei Yokoo, Peifei Zhu, Yuchi Ishikawa, Mikihiro Tanaka, Masayoshi Kondo, Hirokatsu Kataoka
Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track. CoRR (2023)
Ryu Tadokoro, Ryosuke Yamada, Hirokatsu Kataoka
Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation. CVPR Workshops (2023)
Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui
Diffusion-based Holistic Texture Rectification and Synthesis. CoRR (2023)
Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue
Pre-training Vision Transformers with Very Limited Synthesized Images. CoRR (2023)
Kodai Nakashima, Hirokatsu Kataoka, Yutaka Satoh
Does Formula-Driven Supervised Learning Work on Small Datasets? IEEE Access 11 (2023)
Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves. CoRR (2023)
Yue Qiu, Shintaro Yamamoto, Ryosuke Yamada, Ryota Suzuki, Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh
3D Change Localization and Captioning from Dynamic Scans of Indoor Scenes. WACV (2023)
Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui
Diffusion-based Holistic Texture Rectification and Synthesis. SIGGRAPH Asia (2023)
Yue Qiu, Yoshiki Nagasaki, Kensho Hara, Hirokatsu Kataoka, Ryota Suzuki, Kenji Iwata, Yutaka Satoh
VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset with Consistent Relationship Labels. WACV (2023)
Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota
Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves. CVPR (2023)
Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue
Pre-training Vision Transformers with Very Limited Synthesized Images. ICCV (2023)
Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation. BMVC (2023)
Guoqing Hao, Satoshi Iizuka, Kensho Hara, Hirokatsu Kataoka, Kazuhiro Fukui
Natural Image Decay With a Decay Effects Generator. IEEE Access 11 (2023)
Fumiya Matsuzawa, Yue Qiu, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh
Question Generation for Uncertainty Elimination in Referring Expressions in 3D Environments. ICRA (2023)
Shota Nishiyama, Takuma Saito, Ryo Nakamura, Go Ohtani, Hirokatsu Kataoka, Kensho Hara
Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information. CoRR (2023)
Shota Nishiyama, Takuma Saito, Ryo Nakamura, Go Ohtani, Hirokatsu Kataoka, Kensho Hara
Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information. IROS (2023)
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
Pre-Training Without Natural Images. Int. J. Comput. Vis. 130 (4) (2022)
Ryota Suzuki, Hirokatsu Kataoka
Revealing Doubtful Data in 200k Images via Re-annotation Workshop by Researcher Community. HCI (49) (2022)
Shintaro Yamamoto, Hirokatsu Kataoka, Ryota Suzuki, Seitaro Shinagawa, Shigeo Morishima
Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge. CoRR (2022)
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh
Can Vision Transformers Learn without Natural Images? AAAI (2022)
Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara
Neural Density-Distance Fields. ECCV (32) (2022)
Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota
Replacing Labeled Real-image Datasets with Auto-generated Contours. CoRR (2022)
Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota
Replacing Labeled Real-image Datasets with Auto-generated Contours. CVPR (2022)
Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue
Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. WACV (2022)
Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara
Neural Density-Distance Fields. CoRR (2022)
Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Ryusuke Hotta, Yutaka Satoh
Predicting Appearance of Vehicles From Blind Spots Based on Pedestrian Behaviors at Crossroads. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Yue Qiu, Kodai Nakashima, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka
Scene Change Captioning in Real Scenarios. HCI (35) (2022)
Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae, Tetsuya Ogata
Point Cloud Pre-training with Natural 3D Structures. CVPR (2022)
Hirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue
Formula-driven Supervised Learning with Recursive Tiling Patterns. ICCVW (2021)
Ryosuke Yamada, Ryo Takahashi, Ryota Suzuki, Akio Nakamura, Yusuke Yoshiyasu, Ryusuke Sagawa, Hirokatsu Kataoka
MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition. IROS (2021)
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue
Can Vision Transformers Learn without Natural Images? CoRR (2021)
Yue Qiu, Shintaro Yamamoto, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh
Describing and Localizing Multiple Changes with Transformers. CoRR (2021)
Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka
Alleviating Over-segmentation Errors by Detecting Action Boundaries. WACV (2021)
Kensho Hara, Yuchi Ishikawa, Hirokatsu Kataoka
Rethinking Training Data for Mitigating Representation Biases in Action Recognition. CVPR Workshops (2021)
Yue Qiu, Shintaro Yamamoto, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh
Describing and Localizing Multiple Changes with Transformers. ICCV (2021)
Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. CoRR (2021)
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
Pre-training without Natural Images. CoRR (2021)
Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato
Viewpoint-agnostic Image Rendering. WACV (2021)
Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato
Disentangle, Assemble, and Synthesize: Unsupervised Learning to Disentangle Appearance and Location. ICPR (2020)
Hirokatsu Kataoka, Teppei Suzuki, Kodai Nakashima, Yutaka Satoh, Yoshimitsu Aoki
Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection. ICRA (2020)
Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Ryusuke Hotta, Yutaka Satoh
Predicting Vehicles Appearing from Blind Spots Based on Pedestrian Behaviors. ITSC (2020)
Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka
Alleviating Over-segmentation Errors by Detecting Action Boundaries. CoRR (2020)
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka
Indoor Scene Change Captioning Based on Multimodality Data. Sensors 20 (17) (2020)
Munetaka Minoguchi, Ken Okayama, Yutaka Satoh, Hirokatsu Kataoka
Weakly Supervised Dataset Collection for Robust Person Detection. CoRR (2020)
Hideki Tsunashima, Kosuke Arase, Antony Lam, Hirokatsu Kataoka
UVIRT - Unsupervised Virtual Try-on Using Disentangled Clothing and Person Features. Sensors 20 (19) (2020)
Hideki Tsunashima, Hirokatsu Kataoka, Junji Yamato, Qiu Chen, Shigeo Morishima
Adversarial Knowledge Distillation for a Compact Generator. ICPR (2020)
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
Pre-training Without Natural Images. ACCV (6) (2020)
Hirokatsu Kataoka, Tenga Wakamiya, Kensho Hara, Yutaka Satoh
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? CoRR (2020)
Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. ICPR (2020)
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka
Multi-View Visual Question Answering with Active Viewpoint Selection. Sensors 20 (8) (2020)
Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. CoRR (2020)
Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka
Retrieving and Highlighting Action with Spatiotemporal Reference. CoRR (2020)
Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. ICPR (2020)
Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka
Retrieving and Highlighting Action with Spatiotemporal Reference. ICIP (2020)
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka
3D-Aware Scene Change Captioning From Multiview Images. IEEE Robotics Autom. Lett. 5 (3) (2020)
Ryota Suzuki, Kota Yoshida, Munetaka Minoguchi, Kazuki Tsubura, Takumu Ikeya, Akio Nakamura, Hirokatsu Kataoka
Joking AI via Visual Cues. HCI (37) (2020)
Hirokatsu Kataoka, Yutaka Satoh, Kaori Abe, Munetaka Minoguchi, Akio Nakamura
Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis. CVPR Workshops (2019)
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Hirokatsu Kataoka
Incorporating 3D Information Into Visual Question Answering. 3DV (2019)
Hirokatsu Kataoka, Yutaka Satoh
Unsupervised Out-of-context Action Understanding. ICRA (2019)
Takahiro Itazuri, Yoshihiro Fukuhara, Hirokatsu Kataoka, Shigeo Morishima
What Do Adversarially Robust Models Look At? CoRR (2019)
Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima, Hirokatsu Kataoka
Automatic paper summary generation from visual and textual information. ICMV (2018)
Tomoyuki Suzuki, Munetaka Minoguchi, Ryota Suzuki, Akio Nakamura, Kenji Iwata, Yutaka Satoh, Hirokatsu Kataoka
Semantic Change Detection. ICARCV (2018)
Tomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka
Learning Spatiotemporal 3D Convolution with Video Order Self-supervision. ECCV Workshops (2) (2018)
Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima, Hirokatsu Kataoka
Automatic Paper Summary Generation from Visual and Textual Information. CoRR (2018)
Kaori Abe, Munetaka Minoguchi, Teppei Suzuki, Tomoyuki Suzuki, Naofumi Akimoto, Yue Qiu, Ryota Suzuki, Kenji Iwata, Yutaka Satoh, Hirokatsu Kataoka
Fashion Culture Database: Construction of Database for World-wide Fashion Analysis. ICARCV (2018)
Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka
Understanding Fake Faces. ECCV Workshops (3) (2018)
Hirokatsu Kataoka, Teppei Suzuki, Shoko Oikawa, Yasuhiro Matsui, Yutaka Satoh
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents. CoRR (2018)
Hirokatsu Kataoka, Yutaka Satoh, Yoshimitsu Aoki, Shoko Oikawa, Yasuhiro Matsui
Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database. Sensors 18 (2) (2018)
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh
Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions. ICPR (2018)
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? CVPR (2018)
Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh
Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB. CoRR (2018)
Kota Yoshida, Munetaka Minoguchi, Kenichiro Wani, Akio Nakamura, Hirokatsu Kataoka
Neural Joking Machine : Humorous image captioning. CoRR (2018)
Yue Qiu, Hirokatsu Kataoka
Image Generation Associated With Music Data. CVPR Workshops (2018)
Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Yutaka Satoh
Recognizing People in Blind Spots Based on Surrounding Behavior. ECCV Workshops (2) (2018)
Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB. CVPR (2018)
Hirokatsu Kataoka, Teppei Suzuki, Shoko Oikawa, Yasuhiro Matsui, Yutaka Satoh
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents. ICRA (2018)
Naofumi Akimoto, Hirokatsu Kataoka, Yoshimitsu Aoki
Generating effect animation with conditional GANs. SIGGRAPH ASIA Posters (2018)
Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka
Understanding Fake Faces. CoRR (2018)
Hirokatsu Kataoka, Shuhei Ohki, Kenji Iwata, Yutaka Satoh
Occlusion Handling Human Detection with Refocused Images. ICPR (2018)
Hirokatsu Kataoka, Soma Shirakabe, Yun He, Shunya Ueta, Teppei Suzuki, Kaori Abe, Asako Kanezaki, Shinichiro Morita, Toshiyuki Yabe, Yoshihiro Kanehara, Hiroya Yatsuyanagi, Shinya Maruyama, Ryousuke Takasawa, Masataka Fuchida, Yudai Miyashita, Kazushige Okayasu, Yuta Matsuzaki
cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey. CoRR (2017)
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition. ICCV Workshops (2017)
Teppei Suzuki, Yoshimitsu Aoki, Hirokatsu Kataoka
Pedestrian near-miss analysis on vehicle-mounted driving recorders. MVA (2017)
Fangge Chen, Hirokatsu Kataoka, Yutaka Satoh
Text Detection in Traffic Informatory Signs Using Synthetic Data. ICDAR (2017)
Hirokatsu Kataoka, Kaori Abe, Akio Nakamura, Yutaka Satoh
Collaborative Descriptors: Convolutional Maps for Preprocessing. CoRR (2017)
Yudai Miyashita, Hirokatsu Kataoka, Akio Nakamura
Analyzing Fine Motion Considering Individual Habit for Appearance-Based Proficiency Evaluation. IEICE Trans. Inf. Syst. (1) (2017)

Hirokatsu Kataoka.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hirokatsu Kataoka