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ORCIDTetsu Matsukawa
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2020 – today
- 2024
[j6]Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki:
Image Generation from Hyper Scene Graph with Multiple Types of Trinomial Hyperedges. SN Comput. Sci. 5(5): 624 (2024)- [c28]Liheng Shen
, Tetsu Matsukawa, Einoshin Suzuki:
SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. PAKDD (1) 2024: 27-40 - [c27]Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki:
Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention. VISIGRAPP (2): VISAPP 2024: 266-279 - 2023
- [c26]Jose Alejandro Avellaneda, Tetsu Matsukawa, Einoshin Suzuki:
Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring. CASE 2023: 1-8 - [c25]Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki:
Image Generation from a Hyper Scene Graph with Trinomial Hyperedges. VISIGRAPP (5: VISAPP) 2023: 185-195 - 2022
- [c24]Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki:
Detecting Video Anomalous Events with an Enhanced Abnormality Score. PRICAI (1) 2022: 202-217 - 2021
- [c23]Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki:
Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking. VISIGRAPP (5: VISAPP) 2021: 943-953 - [i2]Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki:
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models. CoRR abs/2105.10644 (2021) - 2020
- [j5]Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki:
Detecting outliers with one-class selective transfer machine. Knowl. Inf. Syst. 62(5): 1781-1818 (2020) - [j4]Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato:
Hierarchical Gaussian Descriptors with Application to Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2179-2194 (2020) - [c22]Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa:
From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. ICPR 2020: 2506-2513 - [c21]Tetsu Matsukawa, Einoshin Suzuki:
Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification. ICPR 2020: 8408-8415 - [c20]Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki:
Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. ISMIS 2020: 214-224 - [c19]Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki:
Context-Aware Latent Dirichlet Allocation for Topic Segmentation. PAKDD (1) 2020: 475-486 - [c18]Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki:
Detecting Anomalous Regions from an Image based on Deep Captioning. VISIGRAPP (5: VISAPP) 2020: 326-335
2010 – 2019
- 2019
- [j3]Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki:
Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. J. Intell. Inf. Syst. 52(2): 367-392 (2019) - [c17]Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki:
Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. ICTAI 2019: 915-922 - [c16]Tetsu Matsukawa, Einoshin Suzuki:
Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification. MVA 2019: 1-5 - 2018
- [c15]Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki:
Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. ICPR 2018: 860-867 - [c14]Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki:
Multimodal Deep Neural Network with Image Sequence Features for Video Captioning. IJCNN 2018: 1-7 - [c13]Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki:
One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection. VISIGRAPP (5: VISAPP) 2018: 274-283 - 2017
- [i1]Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato:
Hierarchical Gaussian Descriptors with Application to Person Re-Identification. CoRR abs/1706.04318 (2017) - 2016
- [c12]Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato:
Hierarchical Gaussian Descriptor for Person Re-identification. CVPR 2016: 1363-1372 - [c11]Tetsu Matsukawa, Einoshin Suzuki:
Person re-identification using CNN features learned from combination of attributes. ICPR 2016: 2428-2433 - 2015
- [c10]Einoshin Suzuki, Yutaka Deguchi, Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Sugimoto:
Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks. PETRA 2015: 26:1-26:8 - 2014
- [c9]Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato:
Person Re-identification via Discriminative Accumulation of Local Features. ICPR 2014: 3975-3980 - 2013
- [c8]Kimshing Goh, Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato:
Converting Near Infrared Facial Images to Visible Light Images using Skin Pigment Model. MVA 2013: 153-156 - 2012
- [j2]Tetsu Matsukawa, Takio Kurita:
Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images. Pattern Recognit. 45(2): 707-719 (2012) - [c7]Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato:
Illumination normalization of face images with cast shadows. ICPR 2012: 1848-1851 - 2011
- [c6]Tetsu Matsukawa, Takio Kurita:
Discriminant appearance weighting for action recognition. ACPR 2011: 7-11 - 2010
- [j1]Tetsu Matsukawa, Takio Kurita:
Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations. IEICE Trans. Inf. Syst. 93-D(10): 2870-2874 (2010) - [c5]Keiji Shimada, Tetsu Matsukawa, Yoshihiro Noguchi, Takio Kurita:
Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines. ACCV Workshops (1) 2010: 277-286 - [c4]Tetsu Matsukawa, Takio Kurita:
Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes. ICPR 2010: 1731-1734 - [c3]Tetsu Matsukawa, Takio Kurita:
Scene Classification using Spatial Relationship between Local Posterior Probabilities. VISAPP (2) 2010: 325-332
2000 – 2009
- 2009
- [c2]Tetsu Matsukawa, Takio Kurita:
Image Classification Using Probability Higher-Order Local Auto-Correlations. ACCV (3) 2009: 384-394 - [c1]Tetsu Matsukawa, Akinori Hidaka, Takio Kurita:
Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions. MVA 2009: 426-430
Coauthor Index
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last updated on 2024-06-26 21:22 CEST by the dblp team
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