Tetsu Matsukawa

According to our database, Tetsu Matsukawa authored at least 33 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention.

Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Image Generation from a Hyper Scene Graph with Trinomial Hyperedges.

Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring.

Jose Alejandro Avellaneda, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Detecting Video Anomalous Events with an Enhanced Abnormality Score.

Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2021

Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models.

Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki

CoRR, 2021

Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking.

Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

Hierarchical Gaussian Descriptors with Application to Person Re-Identification.

Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Detecting outliers with one-class selective transfer machine.

Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki

Knowl. Inf. Syst., 2020

Detecting Anomalous Regions from an Image based on Deep Captioning.

Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Context-Aware Latent Dirichlet Allocation for Topic Segmentation.

Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring.

Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking.

Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification.

Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks.

Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki

J. Intell. Inf. Syst., 2019

Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification.

Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category.

Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection.

Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Multimodal Deep Neural Network with Image Sequence Features for Video Captioning.

Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification.

Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016

Person re-identification using CNN features learned from combination of attributes.

Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Hierarchical Gaussian Descriptor for Person Re-identification.

Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks.

Einoshin Suzuki, Yutaka Deguchi, Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Sugimoto

Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015

2014

Person Re-identification via Discriminative Accumulation of Local Features.

Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Converting Near Infrared Facial Images to Visible Light Images using Skin Pigment Model.

Kimshing Goh, Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato

Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

2012

Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images.

Tetsu Matsukawa, Takio Kurita

Pattern Recognit., 2012

Illumination normalization of face images with cast shadows.

Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Discriminant appearance weighting for action recognition.

Tetsu Matsukawa, Takio Kurita

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations.

Tetsu Matsukawa, Takio Kurita

IEICE Trans. Inf. Syst., 2010

Scene Classification using Spatial Relationship between Local Posterior Probabilities.

Tetsu Matsukawa, Takio Kurita

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes.

Tetsu Matsukawa, Takio Kurita

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines.

Keiji Shimada, Tetsu Matsukawa, Yoshihiro Noguchi, Takio Kurita

Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

2009

Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions.

Tetsu Matsukawa, Akinori Hidaka, Takio Kurita

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009

Image Classification Using Probability Higher-Order Local Auto-Correlations.

Tetsu Matsukawa, Takio Kurita

Proceedings of the Computer Vision, 2009