Symmetrical Judgment and Improvement of CoHOG Feature Descriptor for Pedestrian Detection. - Hirokatsu Kataoka; Yoshimitsu Aoki (MVA, 2011)

Extended CoHOG and particle filter by improved motion model for pedestrian active safety. - Hirokatsu Kataoka; Kimimasa Tamura; Yoshimitsu Aoki; Yasuhiro Matsui (IECON, 2012)

Robust human tracking using statistical human shape model with postural variation. - Kiyoshi Hashimoto; Hirokatsu Kataoka; Yoshimitsu Aoki; Yuji Sato (IECON, 2013)

Robust feature descriptor and vehicle motion model with tracking-by-detection for active safety. - Hirokatsu Kataoka; Kimimasa Tamura; Yoshimitsu Aoki; Yasuhiro Matsui; Kenji Iwata; Yutaka Satoh (IECON, 2013)

Multiple players tracking and identification using group detection and player number recognition in sports video. - Taiki Yamamoto; Hirokatsu Kataoka; Masaki Hayashi; Yoshimitsu Aoki; Kyoko Oshima; Masamoto Tanabiki (IECON, 2013)

Big Trajectory Data Analysis for Clustering and Anomaly Detection. - Hirokatsu Kataoka; Kenji Iwata; Yutaka Satoh; Ikushi Yoda; Masaki Onishi; Yoshimitsu Aoki (MVA, 2013)

Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained Activity Recognition. - Hirokatsu Kataoka; Kiyoshi Hashimoto; Kenji Iwata; Yutaka Satoh; Nassir Navab; Slobodan Ilic; Yoshimitsu Aoki (ACCV (5), 2014)

Feature integration with random forests for real-time human activity recognition. - Hirokatsu Kataoka; Kiyoshi Hashimoto; Yoshimitsu Aoki (ICMV, 2014)

Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety. - Hirokatsu Kataoka; Kimimasa Tamura; Kenji Iwata; Yutaka Satoh; Yasuhiro Matsui; Yoshimitsu Aoki (IEICE Trans. Inf. Syst., 2014)

Evaluation of Vision-Based Human Activity Recognition in Dense Trajectory Framework. - Hirokatsu Kataoka; Yoshimitsu Aoki; Kenji Iwata; Yutaka Satoh (ISVC (1), 2015)

Fine-Grained Walking Activity Recognition via Driving Recorder Dataset. - Hirokatsu Kataoka; Yoshimitsu Aoki; Yutaka Satoh; Shoko Oikawa; Yasuhiro Matsui (ITSC, 2015)

Predicting driving behavior using inverse reinforcement learning with multiple reward functions towards environmental diversity. - Masamichi Shimosaka; Kentaro Nishi; Jun-ichi Satoh; Hirokatsu Kataoka (Intelligent Vehicles Symposium, 2015)

What is an Effective Feature for a Detection Problem? Feature Evaluation in Multiple Scenes. - Tomoaki K. Yamabe; Yudai Miyashita; Shin-ichi Sato; Yudai Yamamoto; Akio Nakamura; Hirokatsu Kataoka (SMC, 2015)

Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection. - Hirokatsu Kataoka; Kenji Iwata; Yutaka Satoh (CoRR, 2015)

Recognition of Transitional Action for Short-Term Action Prediction using Discriminative Temporal CNN Feature. - Hirokatsu Kataoka; Yudai Miyashita; Masaki Hayashi; Kenji Iwata; Yutaka Satoh (BMVC, 2016)

Dominant Codewords Selection with Topic Model for Action Recognition. - Hirokatsu Kataoka; Kenji Iwata; Yutaka Satoh; Masaki Hayashi; Yoshimitsu Aoki; Slobodan Ilic (CVPR Workshops, 2016)

Human Action Recognition Without Human. - Yun He; Soma Shirakabe; Yutaka Satoh; Hirokatsu Kataoka (ECCV Workshops (3), 2016)

Motion Representation with Acceleration Images. - Hirokatsu Kataoka; Yun He; Soma Shirakabe; Yutaka Satoh (ECCV Workshops (3), 2016)

Activity Prediction using a Space-Time CNN and Bayesian Framework. - Hirokatsu Kataoka; Yoshimitsu Aoki; Kenji Iwata; Yutaka Satoh (VISIGRAPP (4: VISAPP), 2016)

cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey. - 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 (CoRR, 2016)

Semantic Change Detection with Hypermaps. - Hirokatsu Kataoka; Soma Shirakabe; Yudai Miyashita; Akio Nakamura; Kenji Iwata; Yutaka Satoh (CoRR, 2016)

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition. - Kensho Hara; Hirokatsu Kataoka; Yutaka Satoh (ICCV Workshops, 2017)

Text Detection in Traffic Informatory Signs Using Synthetic Data. - Fangge Chen; Hirokatsu Kataoka; Yutaka Satoh (ICDAR, 2017)

Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database. - Yuta Matsuzaki; Kazushige Okayasu; Takaaki Imanari; Naomichi Kobayashi; Yoshihiro Kanehara; Ryousuke Takasawa; Akio Nakamura; Hirokatsu Kataoka (MVA, 2017)

Pedestrian near-miss analysis on vehicle-mounted driving recorders. - Teppei Suzuki; Yoshimitsu Aoki; Hirokatsu Kataoka (MVA, 2017)

Changing Fashion Cultures. - Kaori Abe; Teppei Suzuki; Shunya Ueta; Akio Nakamura; Yutaka Satoh; Hirokatsu Kataoka (CoRR, 2017)

Collaborative Descriptors: Convolutional Maps for Preprocessing. - Hirokatsu Kataoka; Kaori Abe; Akio Nakamura; Yutaka Satoh (CoRR, 2017)

cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey. - Hirokatsu Kataoka; Soma Shirakabe; Yun He; Shunya Ueta; Teppei Suzuki; Kaori Abe; Asako Kanezaki; Shinichiro Morita; Toshiyuki Yabe; Yoshihiro Kanehara; Hiroya Yatsuyanagi; Shinya Maruyama; et al. (CoRR, 2017)

Analyzing Fine Motion Considering Individual Habit for Appearance-Based Proficiency Evaluation. - Yudai Miyashita; Hirokatsu Kataoka; Akio Nakamura (IEICE Trans. Inf. Syst., 2017)

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? - Kensho Hara; Hirokatsu Kataoka; Yutaka Satoh (CVPR, 2018)

Image Generation Associated With Music Data. - Yue Qiu 001; Hirokatsu Kataoka (CVPR Workshops, 2018)

Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB. - Tomoyuki Suzuki; Hirokatsu Kataoka; Yoshimitsu Aoki; Yutaka Satoh (CVPR, 2018)

Recognizing People in Blind Spots Based on Surrounding Behavior. - Kensho Hara; Hirokatsu Kataoka; Masaki Inaba; Kenichi Narioka; Yutaka Satoh (ECCV Workshops (2), 2018)

Understanding Fake Faces. - Ryota Natsume; Kazuki Inoue; Yoshihiro Fukuhara; Shintaro Yamamoto; Shigeo Morishima; Hirokatsu Kataoka (ECCV Workshops (3), 2018)

Learning Spatiotemporal 3D Convolution with Video Order Self-supervision. - Tomoyuki Suzuki; Takahiro Itazuri; Kensho Hara; Hirokatsu Kataoka (ECCV Workshops (2), 2018)

Fashion Culture Database: Construction of Database for World-wide Fashion Analysis. - Kaori Abe; Munetaka Minoguchi; Teppei Suzuki; Tomoyuki Suzuki; Naofumi Akimoto; Yue Qiu 001; Ryota Suzuki 006; Kenji Iwata; Yutaka Satoh; Hirokatsu Kataoka (ICARCV, 2018)

Semantic Change Detection. - Tomoyuki Suzuki; Munetaka Minoguchi; Ryota Suzuki 006; Akio Nakamura; Kenji Iwata; Yutaka Satoh; Hirokatsu Kataoka (ICARCV, 2018)

Automatic paper summary generation from visual and textual information. - Shintaro Yamamoto; Yoshihiro Fukuhara; Ryota Suzuki 006; Shigeo Morishima; Hirokatsu Kataoka (ICMV, 2018)

Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions. - Kensho Hara; Hirokatsu Kataoka; Yutaka Satoh (ICPR, 2018)

Occlusion Handling Human Detection with Refocused Images. - Hirokatsu Kataoka; Shuhei Ohki; Kenji Iwata; Yutaka Satoh (ICPR, 2018)

Drive Video Analysis for the Detection of Traffic Near-Miss Incidents. - Hirokatsu Kataoka; Teppei Suzuki; Shoko Oikawa; Yasuhiro Matsui; Yutaka Satoh (ICRA, 2018)

Generating effect animation with conditional GANs. - Naofumi Akimoto; Hirokatsu Kataoka; Yoshimitsu Aoki (SIGGRAPH ASIA Posters, 2018)

Neural Joking Machine : Humorous image captioning. - Kota Yoshida; Munetaka Minoguchi; Kenichiro Wani; Akio Nakamura; Hirokatsu Kataoka (CoRR, 2018)

Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database. - Hirokatsu Kataoka; Yutaka Satoh; Yoshimitsu Aoki; Shoko Oikawa; Yasuhiro Matsui (Sensors, 2018)

Incorporating 3D Information Into Visual Question Answering. - Yue Qiu 001; Yutaka Satoh; Ryota Suzuki 006; Hirokatsu Kataoka (3DV, 2019)

Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis. - Hirokatsu Kataoka; Yutaka Satoh; Kaori Abe; Munetaka Minoguchi; Akio Nakamura (CVPR Workshops, 2019)

Unsupervised Out-of-context Action Understanding. - Hirokatsu Kataoka; Yutaka Satoh (ICRA, 2019)

What Do Adversarially Robust Models Look At? - Takahiro Itazuri; Yoshihiro Fukuhara; Hirokatsu Kataoka; Shigeo Morishima (CoRR, 2019)

Joking AI via Visual Cues. - Ryota Suzuki 006; Kota Yoshida; Munetaka Minoguchi; Kazuki Tsubura; Takumu Ikeya; Akio Nakamura; Hirokatsu Kataoka (HCI (37), 2020)

Retrieving and Highlighting Action with Spatiotemporal Reference. - Seito Kasai; Yuchi Ishikawa; Masaki Hayashi; Yoshimitsu Aoki; Kensho Hara; Hirokatsu Kataoka (ICIP, 2020)

Disentangle, Assemble, and Synthesize: Unsupervised Learning to Disentangle Appearance and Location. - Hiroaki Aizawa; Hirokatsu Kataoka; Yutaka Satoh; Kunihito Kato (ICPR, 2020)

Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. - Nakamasa Inoue; Eisuke Yamagata; Hirokatsu Kataoka (ICPR, 2020)

Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. - Takehiko Ohkawa; Naoto Inoue; Hirokatsu Kataoka; Nakamasa Inoue (ICPR, 2020)

Adversarial Knowledge Distillation for a Compact Generator. - Hideki Tsunashima; Hirokatsu Kataoka; Junji Yamato; Qiu Chen; Shigeo Morishima (ICPR, 2020)

Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection. - Hirokatsu Kataoka; Teppei Suzuki; Kodai Nakashima; Yutaka Satoh; Yoshimitsu Aoki (ICRA, 2020)

Predicting Vehicles Appearing from Blind Spots Based on Pedestrian Behaviors. - Kensho Hara; Hirokatsu Kataoka; Masaki Inaba; Kenichi Narioka; Ryusuke Hotta; Yutaka Satoh (ITSC, 2020)

Weakly Supervised Dataset Collection for Robust Person Detection. - Munetaka Minoguchi; Ken Okayama; Yutaka Satoh; Hirokatsu Kataoka (CoRR, 2020)

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? - Hirokatsu Kataoka; Tenga Wakamiya; Kensho Hara; Yutaka Satoh (CoRR, 2020)

3D-Aware Scene Change Captioning From Multiview Images. - Yue Qiu 001; Yutaka Satoh; Ryota Suzuki 006; Kenji Iwata; Hirokatsu Kataoka (IEEE Robotics Autom. Lett., 2020)

Multi-View Visual Question Answering with Active Viewpoint Selection. - Yue Qiu 001; Yutaka Satoh; Ryota Suzuki 006; Kenji Iwata; Hirokatsu Kataoka (Sensors, 2020)

Indoor Scene Change Captioning Based on Multimodality Data. - Yue Qiu 001; Yutaka Satoh; Ryota Suzuki 006; Kenji Iwata; Hirokatsu Kataoka (Sensors, 2020)

UVIRT - Unsupervised Virtual Try-on Using Disentangled Clothing and Person Features. - Hideki Tsunashima; Kosuke Arase; Antony Lam; Hirokatsu Kataoka (Sensors, 2020)

Rethinking Training Data for Mitigating Representation Biases in Action Recognition. - Kensho Hara; Yuchi Ishikawa; Hirokatsu Kataoka (CVPR Workshops, 2021)

Describing and Localizing Multiple Changes with Transformers. - Yue Qiu 001; Shintaro Yamamoto; Kodai Nakashima; Ryota Suzuki 006; Kenji Iwata; Hirokatsu Kataoka; Yutaka Satoh (ICCV, 2021)

Formula-driven Supervised Learning with Recursive Tiling Patterns. - Hirokatsu Kataoka; Asato Matsumoto; Ryosuke Yamada; Yutaka Satoh; Eisuke Yamagata; Nakamasa Inoue (ICCVW, 2021)

MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition. - Ryosuke Yamada; Ryo Takahashi; Ryota Suzuki 006; Akio Nakamura; Yusuke Yoshiyasu; Ryusuke Sagawa; Hirokatsu Kataoka (IROS, 2021)

Viewpoint-agnostic Image Rendering. - Hiroaki Aizawa; Hirokatsu Kataoka; Yutaka Satoh; Kunihito Kato (WACV, 2021)

Alleviating Over-segmentation Errors by Detecting Action Boundaries. - Yuchi Ishikawa; Seito Kasai; Yoshimitsu Aoki; Hirokatsu Kataoka (WACV, 2021)

Can Vision Transformers Learn without Natural Images? - Kodai Nakashima; Hirokatsu Kataoka; Asato Matsumoto; Kenji Iwata; Nakamasa Inoue (CoRR, 2021)

Can Vision Transformers Learn without Natural Images? - Kodai Nakashima; Hirokatsu Kataoka; Asato Matsumoto; Kenji Iwata; Nakamasa Inoue; Yutaka Satoh (AAAI, 2022)

Replacing Labeled Real-image Datasets with Auto-generated Contours. - Hirokatsu Kataoka; Ryo Hayamizu; Ryosuke Yamada; Kodai Nakashima; Sora Takashima; Xinyu Zhang; Edgar Josafat Martinez-Noriega; Nakamasa Inoue; Rio Yokota (CVPR, 2022)

Point Cloud Pre-training with Natural 3D Structures. - Ryosuke Yamada; Hirokatsu Kataoka; Naoya Chiba; Yukiyasu Domae; Tetsuya Ogata (CVPR, 2022)

Neural Density-Distance Fields. - Itsuki Ueda; Yoshihiro Fukuhara; Hirokatsu Kataoka; Hiroaki Aizawa; Hidehiko Shishido; Itaru Kitahara (ECCV (32), 2022)

Revealing Doubtful Data in 200k Images via Re-annotation Workshop by Researcher Community. - Ryota Suzuki 006; Hirokatsu Kataoka (HCI (49), 2022)

Scene Change Captioning in Real Scenarios. - Yue Qiu 001; Kodai Nakashima; Yutaka Satoh; Ryota Suzuki 006; Kenji Iwata; Hirokatsu Kataoka (HCI (35), 2022)

Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. - Hirokatsu Kataoka; Kensho Hara; Ryusuke Hayashi; Eisuke Yamagata; Nakamasa Inoue (WACV, 2022)

Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge. - Shintaro Yamamoto; Hirokatsu Kataoka; Ryota Suzuki 006; Seitaro Shinagawa; Shigeo Morishima (CoRR, 2022)

Pre-Training Without Natural Images. - Hirokatsu Kataoka; Kazushige Okayasu; Asato Matsumoto; Eisuke Yamagata; Ryosuke Yamada; Nakamasa Inoue; Akio Nakamura; Yutaka Satoh (Int. J. Comput. Vis., 2022)

Predicting Appearance of Vehicles From Blind Spots Based on Pedestrian Behaviors at Crossroads. - Kensho Hara; Hirokatsu Kataoka; Masaki Inaba; Kenichi Narioka; Ryusuke Hotta; Yutaka Satoh (IEEE Trans. Intell. Transp. Syst., 2022)

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation. - Ryu Tadokoro; Ryosuke Yamada; Kodai Nakashima; Ryo Nakamura; Hirokatsu Kataoka (BMVC, 2023)

Graph Representation for Order-aware Visual Transformation. - Yue Qiu 001; Yanjun Sun; Fumiya Matsuzawa; Kenji Iwata; Hirokatsu Kataoka (CVPR, 2023)

Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation. - Ryu Tadokoro; Ryosuke Yamada; Hirokatsu Kataoka (CVPR Workshops, 2023)

Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves. - Sora Takashima; Ryo Hayamizu; Nakamasa Inoue; Hirokatsu Kataoka; Rio Yokota (CVPR, 2023)

Exploring the Potential of Neural Dataset Search. - Ryosuke Yamada; Risa Shinoda; Hirokatsu Kataoka (CVPR Workshops, 2023)

Pre-training Vision Transformers with Very Limited Synthesized Images. - Ryo Nakamura; Hirokatsu Kataoka; Sora Takashima; Edgar Josafat Martinez-Noriega; Rio Yokota; Nakamasa Inoue (ICCV, 2023)

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. - Risa Shinoda; Ryo Hayamizu; Kodai Nakashima; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ICCV, 2023)

Frequency-aware GAN for Adversarial Manipulation Generation. - Peifei Zhu; Genki Osada; Hirokatsu Kataoka; Tsubasa Takahashi 001 (ICCV, 2023)

Scapegoat Generation for Privacy Protection from Deepfake. - Gido Kato; Yoshihiro Fukuhara; Mariko Isogawa; Hideki Tsunashima; Hirokatsu Kataoka; Shigeo Morishima (ICIP, 2023)

Question Generation for Uncertainty Elimination in Referring Expressions in 3D Environments. - Fumiya Matsuzawa; Yue Qiu 001; Kenji Iwata; Hirokatsu Kataoka; Yutaka Satoh (ICRA, 2023)

Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information. - Shota Nishiyama; Takuma Saito; Ryo Nakamura; Go Ohtani; Hirokatsu Kataoka; Kensho Hara (IROS, 2023)

Diffusion-based Holistic Texture Rectification and Synthesis. - Guoqing Hao; Satoshi Iizuka; Kensho Hara; Edgar Simo-Serra; Hirokatsu Kataoka; Kazuhiro Fukui (SIGGRAPH Asia, 2023)

VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset with Consistent Relationship Labels. - Yue Qiu 001; Yoshiki Nagasaki; Kensho Hara; Hirokatsu Kataoka; Ryota Suzuki 006; Kenji Iwata; Yutaka Satoh (WACV, 2023)

3D Change Localization and Captioning from Dynamic Scans of Indoor Scenes. - Yue Qiu 001; Shintaro Yamamoto; Ryosuke Yamada; Ryota Suzuki 006; Hirokatsu Kataoka; Kenji Iwata; Yutaka Satoh (WACV, 2023)

Natural Image Decay With a Decay Effects Generator. - Guoqing Hao; Satoshi Iizuka; Kensho Hara; Hirokatsu Kataoka; Kazuhiro Fukui (IEEE Access, 2023)

Does Formula-Driven Supervised Learning Work on Small Datasets? - Kodai Nakashima; Hirokatsu Kataoka; Yutaka Satoh (IEEE Access, 2023)

Constructing Image-Text Pair Dataset from Books. - Yamato Okamoto; Haruto Toyonaga; Yoshihisa Ijiri; Hirokatsu Kataoka (CoRR, 2023)

Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track. - Shuhei Yokoo; Peifei Zhu; Yuchi Ishikawa; Mikihiro Tanaka; Masayoshi Kondo; Hirokatsu Kataoka (CoRR, 2023)

Image Generation and Learning Strategy for Deep Document Forgery Detection. - Yamato Okamoto; Osada Genki; Iu Yahiro; Rintaro Hasegawa; Peifei Zhu; Hirokatsu Kataoka (CoRR, 2023)

Outdoor Vision-and-Language Navigation Needs Object-Level Alignment. - Yanjun Sun; Yue Qiu 001; Yoshimitsu Aoki; Hirokatsu Kataoka (Sensors, 2023)

Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion. - Kenji Doi; Shuntaro Okada; Ryota Yoshihashi; Hirokatsu Kataoka (ACCV (5), 2024)

Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation. - Ryota Yoshihashi; Yuya Otsuka; Kenji Doi; Tomohiro Tanaka; Hirokatsu Kataoka (ACCV (5), 2024)

Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. - Peifei Zhu; Tsubasa Takahashi 001; Hirokatsu Kataoka (CVPR, 2024)

Scaling Backwards: Minimal Synthetic Pre-Training? - Ryo Nakamura; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ECCV (15), 2024)

Rethinking Image Super-Resolution from Training Data Perspectives. - Go Ohtani; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka; Yoshimitsu Aoki (ECCV (17), 2024)

Formula-Supervised Visual-Geometric Pre-training. - Ryosuke Yamada; Kensho Hara; Hirokatsu Kataoka; Koshi Makihara; Nakamasa Inoue; Rio Yokota; Yutaka Satoh (ECCV (22), 2024)

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. - Ryo Nakamura; Ryu Tadokoro; Eisuke Yamagata; Yusuke Kondo; Kensho Hara; Hirokatsu Kataoka; Nakamasa Inoue (ICASSP, 2024)

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process. - Shun Iwase; Shuya Takahashi; Nakamasa Inoue; Rio Yokota; Ryo Nakamura; Hirokatsu Kataoka; Eisaku Maeda (ICPR (25), 2024)

Guided by the Way: The Role of On-the-route Objects and Scene Text in Enhancing Outdoor Navigation. - Yanjun Sun; Yue Qiu 001; Yoshimitsu Aoki; Hirokatsu Kataoka (ICRA, 2024)

Subtle-Diff: A Dataset for Precise Recognition of Subtle Differences Among Visually Similar Objects. - Fumiya Matsuzawa; Yue Qiu 001; Yanjun Sun; Kenji Iwata; Hirokatsu Kataoka; Yutaka Satoh (IROS, 2024)

Learnable Cube-based Video Encryption for Privacy-Preserving Action Recognition. - Yuchi Ishikawa; Masayoshi Kondo; Hirokatsu Kataoka (WACV, 2024)

Deformability-Based Grasp Pose Detection From a Visible Image. - Koshi Makihara; Yukiyasu Domae; Ryo Hanai; Ixchel Georgina Ramirez-Alpizar; Hirokatsu Kataoka; Kensuke Harada (IEEE Access, 2024)

Masked Structural Point Cloud Modeling to Learning 3D Representation. - Ryosuke Yamada; Ryu Tadokoro; Yue Qiu 001; Hirokatsu Kataoka; Yutaka Satoh (IEEE Access, 2024)

Constant Rate Schedule: Constant-Rate Distributional Change for Efficient Training and Sampling in Diffusion Models. - Shuntaro Okada; Kenji Doi; Ryota Yoshihashi; Hirokatsu Kataoka; Tomohiro Tanaka (CoRR, 2024)

Formula-Supervised Sound Event Detection: Pre-Training Without Real Data. - Yuto Shibata; Keitaro Tanaka; Yoshiaki Bando; Keisuke Imoto; Hirokatsu Kataoka; Yoshimitsu Aoki (ICASSP, 2025)

Can Masking Background and Object Reduce Static Bias for Zero-Shot Action Recognition? - Takumi Fukuzawa; Kensho Hara; Hirokatsu Kataoka; Toru Tamaki (MMM (4), 2025)

Efficient Load Interference Detection with Limited Labeled Data. - Shinichi Mae; Hirokatsu Kataoka (SII, 2025)

Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding. - Kohei Torimi; Ryosuke Yamada; Daichi Otsuka; Kensho Hara; Yuki M. Asano; Hirokatsu Kataoka; Yoshimitsu Aoki (CoRR, 2025)

MoireDB: Formula-generated Interference-fringe Image Dataset. - Yuto Matsuo; Ryo Hayamizu; Hirokatsu Kataoka; Akio Nakamura (CoRR, 2025)

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process. - Shun Iwase; Shuya Takahashi; Nakamasa Inoue; Rio Yokota; Ryo Nakamura; Hirokatsu Kataoka (CoRR, 2025)

Leveraging LLMs with Iterative Loop Structure for Enhanced Social Intelligence in Video Question Answering. - Erika Mori; Yue Qiu 001; Hirokatsu Kataoka; Yoshimitsu Aoki (CoRR, 2025)

Pre-training with 3D Synthetic Data: Learning 3D Point Cloud Instance Segmentation from 3D Synthetic Scenes. - Daichi Otsuka; Shinichi Mae; Ryosuke Yamada; Hirokatsu Kataoka (CoRR, 2025)

Simple Visual Artifact Detection in Sora-Generated Videos. - Misora Sugiyama; Hirokatsu Kataoka (CoRR, 2025)

Industrial Synthetic Segment Pre-training. - Shinichi Mae; Ryosuke Yamada; Hirokatsu Kataoka (CoRR, 2025)

How Semantically Informative is an Image?: Measuring the Covariance-Weighted Norm of Contrastive Learning Embeddings. - Fumiya Uchiyama; Rintaro Yanagi; Shohei Taniguchi; Shota Takashiro; Masahiro Suzuki 001; Hirokatsu Kataoka; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

AnimalClue: Recognizing Animals by their Traces. - Risa Shinoda; Nakamasa Inoue; Iro Laina; Christian Rupprecht 001; Hirokatsu Kataoka (CoRR, 2025)

AgroBench: Vision-Language Model Benchmark in Agriculture. - Risa Shinoda; Nakamasa Inoue; Hirokatsu Kataoka; Masaki Onishi; Yoshitaka Ushiku (CoRR, 2025)