| Hierarchical gaussian descriptor for person re-identification T Matsukawa, T Okabe, E Suzuki, Y Sato Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 705 | 2016 |
| Person Re-Identification Using CNN Features Learned from Combination of Attributes T Matsukawa, E Suzuki Internatinal Conference on Pattern Recognition (ICPR2016), 2429-2434, 2016 | 219 | 2016 |
| Hierarchical gaussian descriptors with application to person re-identification T Matsukawa, T Okabe, E Suzuki, Y Sato IEEE transactions on pattern analysis and machine intelligence 42 (9), 2179-2194, 2019 | 45 | 2019 |
| Person re-identification via discriminative accumulation of local features T Matsukawa, T Okabe, Y Sato 2014 22nd International Conference on Pattern Recognition, 3975-3980, 2014 | 16 | 2014 |
| Appearance-based smile intensity estimation by cascaded support vector machines K Shimada, T Matsukawa, Y Noguchi, T Kurita Computer Vision–ACCV 2010 Workshops: ACCV 2010 International Workshops …, 2011 | 16 | 2011 |
| Retraining: A simple way to improve the ensemble accuracy of deep neural networks for image classification K Zhao, T Matsukawa, E Suzuki 2018 24th international conference on pattern recognition (ICPR), 860-867, 2018 | 14 | 2018 |
| Illumination normalization of face images with cast shadows T Matsukawa, T Okabe, Y Sato Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 14 | 2012 |
| Context-aware latent dirichlet allocation for topic segmentation W Li, T Matsukawa, H Saigo, E Suzuki Pacific-Asia Conference on Knowledge Discovery and Data Mining, 475-486, 2020 | 12 | 2020 |
| Detecting Anomalous Regions from an Image based on Deep Captioning. Y Hatae, Q Yang, MF Fadjrimiratno, Y Li, T Matsukawa, E Suzuki VISIGRAPP (5: VISAPP), 326-335, 2020 | 11 | 2020 |
| Action recognition using three-way cross-correlations feature of local moton attributes T Matsukawa, T Kurita 2010 20th International Conference on Pattern Recognition, 1731-1734, 2010 | 10 | 2010 |
| Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on" Fast and Slow" Thinking. MF Fadjrimiratno, Y Hatae, T Matsukawa, E Suzuki VISIGRAPP (5: VISAPP), 943-953, 2021 | 9 | 2021 |
| Automatically evaluation of degree of spectators' satisfaction in video sequences based on their facial expressions and face directions T Matsukawa, A Hidaka, T Kurita IPSJ Journal, Information Processing Society of Japan,, Japan 50 (12), 3222-3232, 2009 | 9 | 2009 |
| Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images T Matsukawa, T Kurita Pattern Recognition 45 (2), 707-719, 2012 | 8 | 2012 |
| Detecting outliers with one-class selective transfer machine H Fujita, T Matsukawa, E Suzuki Knowledge and Information Systems 62 (5), 1781-1818, 2020 | 7 | 2020 |
| From certain to uncertain: Toward optimal solution for offline multiple object tracking K Zhao, T Imaseki, H Mouri, E Suzuki, T Matsukawa 2020 25th International Conference on Pattern Recognition (ICPR), 2506-2513, 2021 | 6 | 2021 |
| Kernelized cross-view quadratic discriminant analysis for person re-identification T Matsukawa, E Suzuki 2019 16th International Conference on Machine Vision Applications (MVA), 1-5, 2019 | 6 | 2019 |
| Multimodal Deep Neural Network with Image Sequence Features for Video Captioning S Oura, T Matsukawa, E Suzuki 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 6 | 2018 |
| Image classification using probability higher-order local auto-correlations T Matsukawa, T Kurita Asian Conference on Computer Vision, 384-394, 2009 | 6 | 2009 |
| Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks K Zhao, T Matsukawa, E Suzuki Journal of Intelligent Information Systems 52, 367-392, 2019 | 5 | 2019 |
| One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection. H Fujita, T Matsukawa, E Suzuki VISIGRAPP (5: VISAPP), 274-283, 2018 | 5 | 2018 |
Einoshin SuzukiKyushu UniversityVerified email at inf.kyushu-u.ac.jp
