| Co-occurrence probability-based pixel pairs background model for robust object detection in dynamic scenes D Liang, M Hashimoto, K Iwata, X Zhao Pattern Recognition 48 (4), 1374-1390, 2015 | 79 | 2015 |
| Object detection based on a robust and accurate statistical multi-point-pair model X Zhao, Y Satoh, H Takauji, S Kaneko, K Iwata, R Ozaki Pattern Recognition 44 (6), 1296-1311, 2011 | 60 | 2011 |
| Describing and localizing multiple changes with transformers Y Qiu, S Yamamoto, K Nakashima, R Suzuki, K Iwata, H Kataoka, Y Satoh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 35 | 2021 |
| Recognition of Transitional Action for Short-Term Action Prediction using Discriminative Temporal CNN Feature. H Kataoka, Y Miyashita, M Hayashi, K Iwata, Y Satoh 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 |
| 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 Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 25 | 2015 |
| 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 | 23 | 2020 |
| Indoor scene change captioning based on multimodality data Y Qiu, Y Satoh, R Suzuki, K Iwata, H Kataoka Sensors 20 (17), 4761, 2020 | 19 | 2020 |
| 統計的リーチ特徴法に基づくロバスト背景差分 岩田健司， 佐藤雄隆， 尾崎竜史， 坂上勝彦 電子情報通信学会論文誌 D 92 (8), 1251-1259, 2009 | 19 | 2009 |
| Robust background subtraction based on statistical reach feature method K Iwata, Y Satoh, R Ozaki, K Sakaue IEICE Transactions on Information and Systems, 1251-1259, 2009 | 19 | 2009 |
| Robust object detection in severe imaging conditions using co-occurrence background model D Liang, S Kaneko, M Hashimoto, K Iwata, X Zhao, Y Satoh International Journal of Optomechatronics 8 (1), 14-29, 2014 | 15 | 2014 |
| Statistical reach feature method and its application to template matching R Ozaki, Y Satoh, K Iwata, K Sakaue Proc MVA 2009, 174-177, 2009 | 13 | 2009 |
| Extended feature descriptor and vehicle motion model with tracking-by-detection for pedestrian active safety H Kataoka, K Tamura, K Iwata, Y Satoh, Y Matsui, Y Aoki IEICE TRANSACTIONS on Information and Systems 97 (2), 296-304, 2014 | 11 | 2014 |
| Application of the unusual motion detection using CHLAC to the video surveillance K Iwata, Y Satoh, T Kobayashi, I Yoda, N Otsu Neural Information Processing: 14th International Conference, ICONIP 2007 …, 2008 | 10 | 2008 |
| Multi-view visual question answering with active viewpoint selection Y Qiu, Y Satoh, R Suzuki, K Iwata, H Kataoka Sensors 20 (8), 2281, 2020 | 9 | 2020 |
| Evaluation of vision-based human activity recognition in dense trajectory framework H Kataoka, Y Aoki, K Iwata, Y Satoh Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 9 | 2015 |
| Facial parts detection by using four directional features and relaxation matching K Iwata, H Hongo, K Yamamoto, Y Niwa IEEJ Transactions on Electronics, Information and Systems 124 (3), 706-712, 2004 | 9 | 2004 |
| Fashion culture database: Construction of database for world-wide fashion analysis K Abe, M Minoguchi, T Suzuki, T Suzuki, N Akimoto, Y Qiu, R Suzuki, ... 2018 15th International Conference on Control, Automation, Robotics and …, 2018 | 7 | 2018 |
| Decaf: A deep convolutional activation feature for generic visual recognition H Kataoka, K Iwata, Y Satoh Computer Science 50 (1), 815-830, 2013 | 7 | 2013 |
