Tetsu Matsukawa
Tetsu Matsukawa
Verified email at inf.kyushu-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
5412016
Person Re-Identification Using CNN Features Learned from Combination of Attributes
T Matsukawa, E Suzuki
Internatinal Conference on Pattern Recognition (ICPR2016), 2429-2434, 2016
1432016
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
182019
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
152014
Appearance-based smile intensity estimation by cascaded support vector machines
K Shimada, T Matsukawa, Y Noguchi, T Kurita
Asian Conference on Computer Vision, 277-286, 2010
142010
Illumination normalization of face images with cast shadows
T Matsukawa, T Okabe, Y Sato
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
122012
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
102010
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
92009
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
72012
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
52009
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
42018
One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection.
H Fujita, T Matsukawa, E Suzuki
VISIGRAPP (5: VISAPP), 274-283, 2018
42018
Image classification using probability higher-order local auto-correlations
T Matsukawa, T Kurita
Asian Conference on Computer Vision, 384-394, 2009
42009
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
32019
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 (2), 367-392, 2019
32019
Scene Classification using Spatial Relationship between Local Posterior Probabilities.
T Matsukawa, T Kurita
VISAPP (2), 325-332, 2010
32010
Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions.
T Matsukawa, A Hidaka, T Kurita
MVA, 426-430, 2009
32009
サポートベクターマシンを用いたBag-of-Featuresにおける局所特徴の初期特徴選択
鈴木浩二松川徹,栗田多喜夫
研究報告コンピュータビジョンとイメージメディア (CVIM), 7-12, 2009
32009
Detecting anomalous regions from an image based on deep captioning
Y Hatae, Q Yang, MF Fadjrimiratno, Y Li, T Matsukawa, E Suzuki
15th International Joint Conference on Computer Vision, Imaging and Computer …, 2020
22020
Detecting outliers with one-class selective transfer machine
H Fujita, T Matsukawa, E Suzuki
Knowledge and Information Systems, 1-38, 2019
22019
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Articles 1–20