| 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 | 2096 | 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 | 669 | 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 | 140 | 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 | 124 | 2018 |
| Would mega-scale datasets further enhance spatiotemporal 3D CNNs? H Kataoka, T Wakamiya, K Hara, Y Satoh arXiv preprint arXiv:2004.04968, 2020 | 107 | 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 | 95 | 2022 |
| 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 | 48 | 2016 |
| 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 | 47 | 2015 |
| 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 | 38 | 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 | 35 | 2016 |
| Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection H Kataoka, K Iwata, Y Satoh arXiv preprint arXiv:1509.07627, 2015 | 35 | 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 | 34 | 2018 |
| Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions K Hara, H Kataoka, Y Satoh International Conference on Pattern Recognition (ICPR), 2018 | 31 | 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 | 30 | 2021 |
| 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 | 27 | 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 | 27 | 2013 |
| 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 | 25 | 2014 |
| Semantic Change Detection with Hypermaps H Kataoka, S Shirakabe, Y Miyashita, A Nakamura, K Iwata, Y Satoh arXiv pre-print 1604.07513, 2016 | 24* | 2016 |
| 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 | 23 | 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 | 22 | 2020 |
Kensho HaraNational Institute of Advanced Industrial Science and TechnologyVerified email at aist.go.jp
