Hirokatsu Kataoka
Hirokatsu Kataoka
Chief Senior Researcher, AIST
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Zitiert von
Zitiert von
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
K Hara, H Kataoka, Y Satoh
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
K Hara, H Kataoka, Y Satoh
ICCV 2017 Workshop on ChaLearn Looking at People, 2017
Alleviating Over-segmentation Errors by Detecting Action Boundaries
Y Ishikawa, S Kasai, Y Aoki, H Kataoka
Winter Conference on Applications of Computer Vision (WACV), 2021
Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB
T Suzuki, H Kataoka, Y Aoki, Y Satoh
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Would mega-scale datasets further enhance spatiotemporal 3D CNNs?
H Kataoka, T Wakamiya, K Hara, Y Satoh
arXiv preprint arXiv:2004.04968, 2020
Pre-training without Natural Images
H Kataoka, K Okayasu, A Matsumoto, E Yamagata, R Yamada, N Inoue, ...
International Journal of Computer Vision (IJCV), 2022
Predicting Driving Behavior Using Inverse Reinforcement Learning with Multiple Reward Functions towards Environmental Diversity
M Shimosaka, K Nishi, J Sato, H Kataoka
IEEE Intelligent Vehicles Symposium (IV), 567 - 572, 2015
Human Action Recognition without Human
Y He, S Shirakabe, Y Satoh, H Kataoka
ECCV 2016 Workshop on Brave New Ideas for Motion Representations in Videos …, 2016
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
H Kataoka, T Suzuki, S Oikawa, Y Matsui, Y Satoh
IEEE International Conference on Robotics and Automation (ICRA), 2018
Describing and Localizing Multiple Changes with Transformers
Y Qiu, S Yamamoto, K Nakashima, R Suzuki, K Iwata, H Kataoka, Y Satoh
International Conference on Computer Vision (ICCV), 2021
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
H Kataoka, K Iwata, Y Satoh
arXiv preprint arXiv:1509.07627, 2015
Temporal and Fine-grained Pedestrian Action Recognition on Driving Recorder Database
H Kataoka, Y Satoh, Y Aoki, S Oikawa, Y Matsui
Sensors 18 (2), 2018
Recognition of Transitional Action for Short-Term Action Prediction using Discriminative Temporal CNN Feature
H Kataoka, Y Miyashita, M Hayashi, K Iwata, Y Satoh
British Machine Vision Conference (BMVC), 2016
Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions
K Hara, H Kataoka, Y Satoh
International Conference on Pattern Recognition (ICPR), 2018
Point cloud pre-training with natural 3d structures
R Yamada, H Kataoka, N Chiba, Y Domae, T Ogata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Multiple players tracking and identification using group detection and player number recognition in sports video
T Yamamoto, H Kataoka, M Hayashi, Y Aoki, K Oshima, M Tanabiki
IEEE Industrial Electronics Society (IECON 2013), 2442-2446, 2013
Can vision transformers learn without natural images?
K Nakashima, H Kataoka, A Matsumoto, K Iwata, N Inoue, Y Satoh
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1990-1998, 2022
3d-aware scene change captioning from multiview images
Y Qiu, Y Satoh, R Suzuki, K Iwata, H Kataoka
IEEE Robotics and Automation Letters 5 (3), 4743-4750, 2020
Semantic Change Detection with Hypermaps
H Kataoka, S Shirakabe, Y Miyashita, A Nakamura, K Iwata, Y Satoh
arXiv pre-print 1604.07513, 2016
Extended Co-occurrence HOG with Dense Trajectories for Fine-grained Activity Recognition
H Kataoka, K Hashimoto, K Iwata, Y Satoh, N Navab, S Ilic, Y Aoki
The 12th Asian Conference on Computer Vision (ACCV 2014), 2014
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