Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Matsukawa Tetsu Last modified date:2021.09.14

Assistant Professor / Department of Informatics / Faculty of Information Science and Electrical Engineering


Presentations
1. Shin Ando, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Qingpu Yang, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki , Adversarial Minority-Class Re-Sampling for Imbalanced Sequence Classification , Tenth International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021) , 2021.02.
2. Shin Ando, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Qingpu Yang, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki, Visually-Private Scene Classification with Agent-collected Weak-labels, Tenth International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021) , 2021.02.
3. 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" , Sixteenth International Conference on Computer Vision Theory and Applications (VISAPP2021), 2021.02.
4. Tetsu Matsukawa, Einoshin Suzuki, Convolutional Feature Transfer via Camera-specific Discrimative Pooling for Person Re-Identification, 25th International Conference on Pattern Recognition (ICPR2020), 2021.01.
5. Kaikai Zhao, Takashi Imaseki, HIroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa , From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking , 25th International Conference on Pattern Recognition (ICPR2020) , 2021.01.
6. Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki , Experimental Evaluation of GAN-Based One-Classs Anomaly Detection on Office Monitoring , 25th International Symposium on Intelligent Systems (ISMIS2020) , 2020.09.
7. Li Wenbo, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki, Context-Aware Latent Dirichlet Allocation for Topic Segmentation, The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2020), 2020.05.
8. Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki, Detecting Anomalous Regions from an Image Based on Deep Captioning, The 15th International Conference on Vision Theory and Application (VISAPP2020), 2020.02.
9. Yusuke Otsubo, Tetsu Matsukawa, Einoshin Suzuki, Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category, The IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI2019), 2019.11.
10. Tetsu Matsukawa, Einoshin Suzuki, Kernelized Cross-View Quadratic Discriminant Analysis for Person Re-Identification, 16th International Conference on Machine Vision Applications (MVA2019), 2019.05.
11. Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki , Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification , 24th International Conference on Pattern Recognition (ICPR2018), 2018.08.
12. Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki , Multimodal Deep Neural Network with Image Sequence Features for Video Captioning, IEEE International Joint Conference on Neural Networks (IJCNN2018), 2018.07.
13. Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki , One-Class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection, International Conference on Vision Theory and Application (VISAPP2018), 2018.03.
14. Tetsu Matsukawa, Einoshin Suzuki, Person Re-Identification Using CNN Features Learned from Combination of Attributes, 23rd International Conference on Pattern Recognition (ICPR2016), 2016.12.
15. Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato, Hierarchical Gaussian Descriptor for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), 2016.06.
16. Einoshin Suzuki, Yutaka Deguchi, Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Suzimoto, Toward a Platform for Collecting, Mining, and Utilizing Behavior Data for Detecting Students with Depression Risks, 8th annual international conference on PErvasive Technologies Related to Assistive Environments (PETRA2015), 2015.07.