| Robust face recognition under partial occlusion based on support vector machine with local Gaussian summation kernel K Hotta Image and Vision Computing 26 (11), 1490-1498, 2008 | 111 | 2008 |
| Scale invariant face detection method using higher-order local autocorrelation features extracted from log-polar image K Hotta, T Kurita, T Mishima Proceedings Third IEEE International Conference on Automatic Face and …, 1998 | 101 | 1998 |
| Mixture of counting cnns: Adaptive integration of cnns specialized to specific appearance for crowd counting S Kumagai, K Hotta, T Kurita arXiv preprint arXiv:1703.09393, 2017 | 97 | 2017 |
| Wound-inducible WUSCHEL-RELATED HOMEOBOX 13 is required for callus growth and organ reconnection M Ikeuchi, A Iwase, T Ito, H Tanaka, DS Favero, A Kawamura, ... Plant Physiology 188 (1), 425-441, 2022 | 63 | 2022 |
| Scale and rotation invariant recognition method using higher-order local autocorrelation features of log-polar image T Kurita, K Hotta, T Mishima Computer Vision—ACCV'98: Third Asian Conference on Computer Vision Hong …, 1997 | 57 | 1997 |
| Robust face detection under partial occlusion K Hotta Systems and Computers in Japan 38 (13), 39-48, 2007 | 49 | 2007 |
| Support vector machine with local summation kernel for robust face recognition K Hotta Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 46 | 2004 |
| Face matching through information theoretical attention points and its applications to face detection and classification K Hotta, T Mishima, T Kurita, S Umeyama Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000 | 41 | 2000 |
| Adaptive weighting of local classifiers by particle filters for robust tracking K Hotta Pattern Recognition 42 (5), 619-628, 2009 | 37 | 2009 |
| Scale invariant face detection and classification method using shift invariant features extracted from log-polar image K Hotta, T Mishima, T Kurita IEICE TRANSACTIONS on Information and Systems 84 (7), 867-878, 2001 | 33 | 2001 |
| Cell image segmentation by integrating pix2pixs for each class H Tsuda, K Hotta Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| Estimation of single tones from chord sounds using non-negative matrix factorization T Kawamoto, K Hotta, T Mishima, J Fujiki, M Tanaka, T Kurita Neural Network World 10 (3), 429-436, 2000 | 31 | 2000 |
| Mixture of counting CNNs S Kumagai, K Hotta, T Kurita Machine Vision and Applications 29 (7), 1119-1126, 2018 | 27 | 2018 |
| Local normalized linear summation kernel for fast and robust recognition K Hotta Pattern Recognition 43 (3), 906-913, 2010 | 26 | 2010 |
| Scene classification based on multi-resolution orientation histogram of Gabor features K Hotta International Conference on Computer Vision Systems, 291-301, 2008 | 26 | 2008 |
| A view-invariant human face detection method based on maximum cliques K Hotta, E Tomita, H Takahashi Trans. IPSJ 44 (SIG14 (TOM9), 57-70, 2003 | 26 | 2003 |
| Reconstructed student-teacher and discriminative networks for anomaly detection S Yamada, S Kamiya, K Hotta 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 25 | 2022 |
| Reconstruction student with attention for student-teacher pyramid matching S Yamada, K Hotta arXiv preprint arXiv:2111.15376, 2021 | 25 | 2021 |
| Feedback U-Net for cell image segmentation E Shibuya, K Hotta Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 25 | 2020 |
| Local co-occurrence features in subspace obtained by KPCA of local blob visual words for scene classification K Hotta Pattern Recognition 45 (10), 3687-3694, 2012 | 24 | 2012 |
Takio KuritaHiroshima UniversityVerified email at hiroshima-u.ac.jp
