Tetsu Matsukawa
Tetsu Matsukawa
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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
Person Re-Identification Using CNN Features Learned from Combination of Attributes
T Matsukawa, E Suzuki
Internatinal Conference on Pattern Recognition (ICPR2016), 2429-2434, 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
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
Illumination normalization of face images with cast shadows
T Matsukawa, T Okabe, Y Sato
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
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
Context-aware latent Dirichlet allocation for topic segmentation
W Li, T Matsukawa, H Saigo, E Suzuki
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020
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
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
Automatically evaluation of degree of spectators’ satisfaction in video sequences based on their facial expression and face directions
T Matsukawa, A Hidaka, T Kurita
IPSJ Journal, Information Processing Society of Japan,, Japan 50 (12), 3222-3232, 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
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
Detecting anomalies from human activities by an autonomous mobile robot based on “fast and slow” thinking
MF Fadjrimiratno, Y Hatae, T Matsukawa, E Suzuki
16th International Joint Conference on Computer Vision, Imaging and Computer …, 2021
Image classification using probability higher-order local auto-correlations
T Matsukawa, T Kurita
Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010
Bag-of-features car detection based on selected local features using Support Vector Machine
K Suzuki, T Matsukawa, T Kurita
IEICE Technical Report; IEICE Tech. Rep. 108 (484), 7-12, 2009
Detecting outliers with one-class selective transfer machine
H Fujita, T Matsukawa, E Suzuki
Knowledge and Information Systems 62 (5), 1781-1818, 2020
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
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
One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection.
H Fujita, T Matsukawa, E Suzuki
VISIGRAPP (5: VISAPP), 274-283, 2018
Experimental evaluation of GAN-based one-class anomaly detection on office monitoring
N Dong, Y Hatae, MF Fadjrimiratno, T Matsukawa, E Suzuki
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020
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