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2020 – today
- 2024
[j13]Ryosuke Yamada
, Ryu Tadokoro, Yue Qiu, Hirokatsu Kataoka, Yutaka Satoh:
Masked Structural Point Cloud Modeling to Learning 3D Representation. IEEE Access 12: 142291-142305 (2024)- [c78]Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka:
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CVPR 2024: 24420-24430 - [c77]Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh:
Formula-Supervised Visual-Geometric Pre-training. ECCV (22) 2024: 57-74 - [c76]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: 3120-3124 - [c75]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: 5198-5204 - [c74]Yuchi Ishikawa, Masayoshi Kondo, Hirokatsu Kataoka:
Learnable Cube-based Video Encryption for Privacy-Preserving Action Recognition. WACV 2024: 6988-6998 - [i44]Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka:
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation. CoRR abs/2401.03665 (2024) - [i43]Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka:
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CoRR abs/2404.09401 (2024) - [i42]Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
Scaling Backwards: Minimal Synthetic Pre-training? CoRR abs/2408.00677 (2024) - [i41]Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki:
Rethinking Image Super-Resolution from Training Data Perspectives. CoRR abs/2409.00768 (2024) - [i40]Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh:
Formula-Supervised Visual-Geometric Pre-training. CoRR abs/2409.13535 (2024) - 2023
- [j12]Guoqing Hao, Satoshi Iizuka, Kensho Hara, Hirokatsu Kataoka, Kazuhiro Fukui:
Natural Image Decay With a Decay Effects Generator. IEEE Access 11: 120402-120418 (2023) - [j11]Kodai Nakashima, Hirokatsu Kataoka, Yutaka Satoh:
Does Formula-Driven Supervised Learning Work on Small Datasets? IEEE Access 11: 136166-136178 (2023) - [j10]Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka:
Outdoor Vision-and-Language Navigation Needs Object-Level Alignment. Sensors 23(13): 6028 (2023) - [c73]Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka:
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation. BMVC 2023: 152-160 - [c72]Ryosuke Yamada, Risa Shinoda, Hirokatsu Kataoka:
Exploring the Potential of Neural Dataset Search. CVPR Workshops 2023: 2259-2266 - [c71]Ryu Tadokoro, Ryosuke Yamada, Hirokatsu Kataoka:
Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation. CVPR Workshops 2023: 4740-4745 - [c70]Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota:
Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves. CVPR 2023: 18579-18588 - [c69]Yue Qiu, Yanjun Sun, Fumiya Matsuzawa, Kenji Iwata, Hirokatsu Kataoka:
Graph Representation for Order-aware Visual Transformation. CVPR 2023: 22793-22802 - [c68]Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi:
Frequency-aware GAN for Adversarial Manipulation Generation. ICCV 2023: 4292-4301 - [c67]Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. ICCV 2023: 19997-20006 - [c66]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: 20303-20312 - [c65]Gido Kato, Yoshihiro Fukuhara, Mariko Isogawa, Hideki Tsunashima, Hirokatsu Kataoka, Shigeo Morishima:
Scapegoat Generation for Privacy Protection from Deepfake. ICIP 2023: 3364-3368 - [c64]Fumiya Matsuzawa, Yue Qiu, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh:
Question Generation for Uncertainty Elimination in Referring Expressions in 3D Environments. ICRA 2023: 6146-6152 - [c63]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: 11377-11383 - [c62]Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui:
Diffusion-based Holistic Texture Rectification and Synthesis. SIGGRAPH Asia 2023: 87:1-87:11 - [c61]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: 1176-1185 - [c60]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: 3340-3349 - [i39]Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota:
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves. CoRR abs/2303.01112 (2023) - [i38]Gido Kato, Yoshihiro Fukuhara, Mariko Isogawa, Hideki Tsunashima, Hirokatsu Kataoka, Shigeo Morishima:
Scapegoat Generation for Privacy Protection from Deepfake. CoRR abs/2303.02930 (2023) - [i37]Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue:
Pre-training Vision Transformers with Very Limited Synthesized Images. CoRR abs/2307.14710 (2023) - [i36]Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui:
Diffusion-based Holistic Texture Rectification and Synthesis. CoRR abs/2309.14759 (2023) - [i35]Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. CoRR abs/2309.17083 (2023) - [i34]Yamato Okamoto, Haruto Toyonaga, Yoshihisa Ijiri, Hirokatsu Kataoka:
Constructing Image-Text Pair Dataset from Books. CoRR abs/2310.01936 (2023) - [i33]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 abs/2310.14581 (2023) - [i32]Yamato Okamoto, Osada Genki, Iu Yahiro, Rintaro Hasegawa, Peifei Zhu, Hirokatsu Kataoka:
Image Generation and Learning Strategy for Deep Document Forgery Detection. CoRR abs/2311.03650 (2023) - [i31]Shota Nishiyama, Takuma Saito, Ryo Nakamura, Go Ohtani, Hirokatsu Kataoka, Kensho Hara:
Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information. CoRR abs/2312.10737 (2023) - 2022
- [j9]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): 990-1007 (2022) - [j8]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): 11917-11929 (2022) - [c59]Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh:
Can Vision Transformers Learn without Natural Images? AAAI 2022: 1990-1998 - [c58]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: 21200-21209 - [c57]Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae, Tetsuya Ogata:
Point Cloud Pre-training with Natural 3D Structures. CVPR 2022: 21251-21261 - [c56]Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara:
Neural Density-Distance Fields. ECCV (32) 2022: 53-68 - [c55]Yue Qiu, Kodai Nakashima, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka:
Scene Change Captioning in Real Scenarios. HCI (35) 2022: 405-419 - [c54]Ryota Suzuki, Hirokatsu Kataoka:
Revealing Doubtful Data in 200k Images via Re-annotation Workshop by Researcher Community. HCI (49) 2022: 695-701 - [c53]Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue:
Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. WACV 2022: 737-746 - [i30]Shintaro Yamamoto, Hirokatsu Kataoka, Ryota Suzuki, Seitaro Shinagawa, Shigeo Morishima:
Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge. CoRR abs/2203.09109 (2022) - [i29]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 abs/2206.09132 (2022) - [i28]Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara:
Neural Density-Distance Fields. CoRR abs/2207.14455 (2022) - 2021
- [c52]Kensho Hara, Yuchi Ishikawa, Hirokatsu Kataoka:
Rethinking Training Data for Mitigating Representation Biases in Action Recognition. CVPR Workshops 2021: 3349-3353 - [c51]Yue Qiu, Shintaro Yamamoto, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh:
Describing and Localizing Multiple Changes with Transformers. ICCV 2021: 1951-1960 - [c50]Hirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue:
Formula-driven Supervised Learning with Recursive Tiling Patterns. ICCVW 2021: 4081-4088 - [c49]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: 2076-2083 - [c48]Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka:
Alleviating Over-segmentation Errors by Detecting Action Boundaries. WACV 2021: 2321-2330 - [c47]Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato:
Viewpoint-agnostic Image Rendering. WACV 2021: 3802-3811 - [i27]Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka:
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. CoRR abs/2101.07406 (2021) - [i26]Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh:
Pre-training without Natural Images. CoRR abs/2101.08515 (2021) - [i25]Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue:
Can Vision Transformers Learn without Natural Images? CoRR abs/2103.13023 (2021) - [i24]Yue Qiu, Shintaro Yamamoto, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh:
Describing and Localizing Multiple Changes with Transformers. CoRR abs/2103.14146 (2021) - 2020
- [j7]Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka:
3D-Aware Scene Change Captioning From Multiview Images. IEEE Robotics Autom. Lett. 5(3): 4743-4750 (2020) - [j6]Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka:
Multi-View Visual Question Answering with Active Viewpoint Selection. Sensors 20(8): 2281 (2020) - [j5]Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka:
Indoor Scene Change Captioning Based on Multimodality Data. Sensors 20(17): 4761 (2020) - [j4]Hideki Tsunashima, Kosuke Arase, Antony Lam, Hirokatsu Kataoka:
UVIRT - Unsupervised Virtual Try-on Using Disentangled Clothing and Person Features. Sensors 20(19): 5647 (2020) - [c46]Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh:
Pre-training Without Natural Images. ACCV (6) 2020: 583-600 - [c45]Ryota Suzuki, Kota Yoshida, Munetaka Minoguchi, Kazuki Tsubura, Takumu Ikeya, Akio Nakamura, Hirokatsu Kataoka:
Joking AI via Visual Cues. HCI (37) 2020: 422-436 - [c44]Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka:
Retrieving and Highlighting Action with Spatiotemporal Reference. ICIP 2020: 1401-1405 - [c43]Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue:
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. ICPR 2020: 362-369 - [c42]Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka:
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. ICPR 2020: 1023-1028 - [c41]Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato:
Disentangle, Assemble, and Synthesize: Unsupervised Learning to Disentangle Appearance and Location. ICPR 2020: 2065-2072 - [c40]Hideki Tsunashima, Hirokatsu Kataoka, Junji Yamato, Qiu Chen, Shigeo Morishima:
Adversarial Knowledge Distillation for a Compact Generator. ICPR 2020: 10636-10643 - [c39]Hirokatsu Kataoka, Teppei Suzuki, Kodai Nakashima, Yutaka Satoh, Yoshimitsu Aoki:
Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection. ICRA 2020: 1021-1027 - [c38]Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Ryusuke Hotta, Yutaka Satoh:
Predicting Vehicles Appearing from Blind Spots Based on Pedestrian Behaviors. ITSC 2020: 1-8 - [i23]Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue:
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. CoRR abs/2003.00187 (2020) - [i22]Munetaka Minoguchi, Ken Okayama, Yutaka Satoh, Hirokatsu Kataoka:
Weakly Supervised Dataset Collection for Robust Person Detection. CoRR abs/2003.12263 (2020) - [i21]Hirokatsu Kataoka, Tenga Wakamiya, Kensho Hara, Yutaka Satoh:
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? CoRR abs/2004.04968 (2020) - [i20]Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka:
Retrieving and Highlighting Action with Spatiotemporal Reference. CoRR abs/2005.09183 (2020) - [i19]Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka:
Alleviating Over-segmentation Errors by Detecting Action Boundaries. CoRR abs/2007.06866 (2020)
2010 – 2019
- 2019
- [c37]Yue Qiu, Yutaka Satoh, Ryota Suzuki, Hirokatsu Kataoka:
Incorporating 3D Information Into Visual Question Answering. 3DV 2019: 756-765 - [c36]Hirokatsu Kataoka, Yutaka Satoh, Kaori Abe, Munetaka Minoguchi, Akio Nakamura:
Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis. CVPR Workshops 2019: 305-312 - [c35]Hirokatsu Kataoka, Yutaka Satoh:
Unsupervised Out-of-context Action Understanding. ICRA 2019: 8227-8233 - [i18]Takahiro Itazuri, Yoshihiro Fukuhara, Hirokatsu Kataoka, Shigeo Morishima:
What Do Adversarially Robust Models Look At? CoRR abs/1905.07666 (2019) - 2018
- [j3]Hirokatsu Kataoka, Yutaka Satoh, Yoshimitsu Aoki, Shoko Oikawa, Yasuhiro Matsui:
Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database. Sensors 18(2): 627 (2018) - [c34]Yue Qiu, Hirokatsu Kataoka:
Image Generation Associated With Music Data. CVPR Workshops 2018: 2510-2513 - [c33]Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh:
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB. CVPR 2018: 3521-3529 - [c32]Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? CVPR 2018: 6546-6555 - [c31]Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Yutaka Satoh:
Recognizing People in Blind Spots Based on Surrounding Behavior. ECCV Workshops (2) 2018: 562-570 - [c30]Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka:
Understanding Fake Faces. ECCV Workshops (3) 2018: 566-576 - [c29]Tomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka:
Learning Spatiotemporal 3D Convolution with Video Order Self-supervision. ECCV Workshops (2) 2018: 590-598 - [c28]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: 1721-1726 - [c27]Tomoyuki Suzuki, Munetaka Minoguchi, Ryota Suzuki, Akio Nakamura, Kenji Iwata, Yutaka Satoh, Hirokatsu Kataoka:
Semantic Change Detection. ICARCV 2018: 1785-1790 - [c26]Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima, Hirokatsu Kataoka:
Automatic paper summary generation from visual and textual information. ICMV 2018: 110410U - [c25]Hirokatsu Kataoka, Shuhei Ohki, Kenji Iwata, Yutaka Satoh:
Occlusion Handling Human Detection with Refocused Images. ICPR 2018: 1701-1706 - [c24]Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions. ICPR 2018: 2516-2521 - [c23]Hirokatsu Kataoka, Teppei Suzuki, Shoko Oikawa, Yasuhiro Matsui, Yutaka Satoh:
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents. ICRA 2018: 1-8 - [c22]Naofumi Akimoto, Hirokatsu Kataoka, Yoshimitsu Aoki:
Generating effect animation with conditional GANs. SIGGRAPH ASIA Posters 2018: 7:1-7:2 - [i17]Hirokatsu Kataoka, Teppei Suzuki, Shoko Oikawa, Yasuhiro Matsui, Yutaka Satoh:
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents. CoRR abs/1804.02555 (2018) - [i16]Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh:
Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB. CoRR abs/1804.02675 (2018) - [i15]Kota Yoshida, Munetaka Minoguchi, Kenichiro Wani, Akio Nakamura, Hirokatsu Kataoka:
Neural Joking Machine : Humorous image captioning. CoRR abs/1805.11850 (2018) - [i14]Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka:
Understanding Fake Faces. CoRR abs/1809.08391 (2018) - [i13]Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima, Hirokatsu Kataoka:
Automatic Paper Summary Generation from Visual and Textual Information. CoRR abs/1811.06943 (2018) - 2017
- [j2]Yudai Miyashita, Hirokatsu Kataoka, Akio Nakamura:
Analyzing Fine Motion Considering Individual Habit for Appearance-Based Proficiency Evaluation. IEICE Trans. Inf. Syst. 100-D(1): 166-174 (2017) - [c21]Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition. ICCV Workshops 2017: 3154-3160 - [c20]Fangge Chen, Hirokatsu Kataoka, Yutaka Satoh:
Text Detection in Traffic Informatory Signs Using Synthetic Data. ICDAR 2017: 851-858 - [c19]Teppei Suzuki, Yoshimitsu Aoki, Hirokatsu Kataoka:
Pedestrian near-miss analysis on vehicle-mounted driving recorders. MVA 2017: 416-419 - [c18]Yuta Matsuzaki, Kazushige Okayasu, Takaaki Imanari, Naomichi Kobayashi, Yoshihiro Kanehara, Ryousuke Takasawa, Akio Nakamura, Hirokatsu Kataoka:
Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database. MVA 2017: 538-541 - [i12]Kaori Abe, Teppei Suzuki, Shunya Ueta, Akio Nakamura, Yutaka Satoh, Hirokatsu Kataoka:
Changing Fashion Cultures. CoRR abs/1703.07920 (2017) - [i11]Yuta Matsuzaki, Kazushige Okayasu, Takaaki Imanari, Naomichi Kobayashi, Yoshihiro Kanehara, Ryousuke Takasawa, Akio Nakamura, Hirokatsu Kataoka:
Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database. CoRR abs/1704.02199 (2017) - [i10]Hirokatsu Kataoka, Kaori Abe, Akio Nakamura, Yutaka Satoh:
Collaborative Descriptors: Convolutional Maps for Preprocessing. CoRR abs/1705.03595 (2017) - [i9]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 abs/1707.06436 (2017) - [i8]Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition. CoRR abs/1708.07632 (2017) - [i7]Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? CoRR abs/1711.09577 (2017) - 2016
- [c17]Hirokatsu Kataoka, Yudai Miyashita, Masaki Hayashi, Kenji Iwata, Yutaka Satoh:
Recognition of Transitional Action for Short-Term Action Prediction using Discriminative Temporal CNN Feature. BMVC 2016 - [c16]Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh, Masaki Hayashi, Yoshimitsu Aoki, Slobodan Ilic:
Dominant Codewords Selection with Topic Model for Action Recognition. CVPR Workshops 2016: 770-777 - [c15]Yun He, Soma Shirakabe, Yutaka Satoh, Hirokatsu Kataoka:
Human Action Recognition Without Human. ECCV Workshops (3) 2016: 11-17 - [c14]Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh:
Motion Representation with Acceleration Images. ECCV Workshops (3) 2016: 18-24 - [c13]Hirokatsu Kataoka, Yoshimitsu Aoki, Kenji Iwata, Yutaka Satoh:
Activity Prediction using a Space-Time CNN and Bayesian Framework. VISIGRAPP (4: VISAPP) 2016: 461-469 - [i6]Hirokatsu Kataoka, Soma Shirakabe, Yudai Miyashita, Akio Nakamura, Kenji Iwata, Yutaka Satoh:
Semantic Change Detection with Hypermaps. CoRR abs/1604.07513 (2016) - [i5]Hirokatsu Kataoka, Masaki Hayashi, Kenji Iwata, Yutaka Satoh, Yoshimitsu Aoki, Slobodan Ilic:
Dominant Codewords Selection with Topic Model for Action Recognition. CoRR abs/1605.00324 (2016) - [i4]Hirokatsu Kataoka, Yudai Miyashita, Tomoaki K. Yamabe, Soma Shirakabe, Shin-ichi Sato, Hironori Hoshino, Ryo Kato, Kaori Abe, Takaaki Imanari, Naomichi Kobayashi, Shinichiro Morita, Akio Nakamura:
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey. CoRR abs/1605.08247 (2016) - [i3]Yun He, Soma Shirakabe, Yutaka Satoh, Hirokatsu Kataoka:
Human Action Recognition without Human. CoRR abs/1608.07876 (2016) - [i2]Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh:
Motion Representation with Acceleration Images. CoRR abs/1608.08395 (2016) - 2015
- [c12]Hirokatsu Kataoka, Yoshimitsu Aoki, Kenji Iwata, Yutaka Satoh:
Evaluation of Vision-Based Human Activity Recognition in Dense Trajectory Framework. ISVC (1) 2015: 634-646 - [c11]Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh, Shoko Oikawa, Yasuhiro Matsui:
Fine-Grained Walking Activity Recognition via Driving Recorder Dataset. ITSC 2015: 620-625 - [c10]Masamichi Shimosaka, Kentaro Nishi, Jun-ichi Satoh, Hirokatsu Kataoka:
Predicting driving behavior using inverse reinforcement learning with multiple reward functions towards environmental diversity. Intelligent Vehicles Symposium 2015: 567-572 - [c9]Tomoaki K. Yamabe, Yudai Miyashita, Shin-ichi Sato, Yudai Yamamoto, Akio Nakamura, Hirokatsu Kataoka:
What is an Effective Feature for a Detection Problem? Feature Evaluation in Multiple Scenes. SMC 2015: 2926-2931 - [i1]Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh:
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection. CoRR abs/1509.07627 (2015) - 2014
- [j1]Hirokatsu Kataoka, Kimimasa Tamura, Kenji Iwata, Yutaka Satoh, Yasuhiro Matsui, Yoshimitsu Aoki:
Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety. IEICE Trans. Inf. Syst. 97-D(2): 296-304 (2014) - [c8]Hirokatsu Kataoka, Kiyoshi Hashimoto, Kenji Iwata, Yutaka Satoh, Nassir Navab, Slobodan Ilic, Yoshimitsu Aoki:
Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained Activity Recognition. ACCV (5) 2014: 336-349 - [c7]Hirokatsu Kataoka, Kiyoshi Hashimoto, Yoshimitsu Aoki:
Feature integration with random forests for real-time human activity recognition. ICMV 2014: 944506 - 2013
- [c6]Taiki Yamamoto, Hirokatsu Kataoka, Masaki Hayashi, Yoshimitsu Aoki, Kyoko Oshima, Masamoto Tanabiki:
Multiple players tracking and identification using group detection and player number recognition in sports video. IECON 2013: 2442-2446 - [c5]Hirokatsu Kataoka, Kimimasa Tamura, Yoshimitsu Aoki, Yasuhiro Matsui, Kenji Iwata, Yutaka Satoh:
Robust feature descriptor and vehicle motion model with tracking-by-detection for active safety. IECON 2013: 2472-2477 - [c4]Kiyoshi Hashimoto, Hirokatsu Kataoka, Yoshimitsu Aoki, Yuji Sato:
Robust human tracking using statistical human shape model with postural variation. IECON 2013: 2478-2483 - [c3]Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh, Ikushi Yoda, Masaki Onishi, Yoshimitsu Aoki:
Big Trajectory Data Analysis for Clustering and Anomaly Detection. MVA 2013: 451-454 - 2012
- [c2]Hirokatsu Kataoka, Kimimasa Tamura, Yoshimitsu Aoki, Yasuhiro Matsui:
Extended CoHOG and particle filter by improved motion model for pedestrian active safety. IECON 2012: 1511-1516 - 2011
- [c1]Hirokatsu Kataoka, Yoshimitsu Aoki:
Symmetrical Judgment and Improvement of CoHOG Feature Descriptor for Pedestrian Detection. MVA 2011: 536-539
Coauthor Index
[j13] [c77] [i40] [j11] [c64] [c61] [c60] [j9] [j8] [c59] [c55] [c51] [c50] [c47] [i26] [i24] [j7] [j6] [j5] [c46] [c41] [c39] [c38] [i22] [i21] [c37] [c36] [c35] [j3] [c33] [c32] [c31] [c28] [c27] [c25] [c24] [c23] [i17] [i16] [c21] [c20] [i12] [i10] [i8] [i7] [c17] [c16] [c15] [c14] [c13] [i6] [i5] [i3] [i2] [c12] [c11] [i1] [j1] [c8] [c5] [c3]
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