Tsubasa Minematsu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Background Subtraction

Foreground Segmentation

Top Venues

Publications

Yuma Miyazaki, Valdemar Svábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. CoRR (2024)
Ivo Lodovico Molina, Valdemar Svábenský, Tsubasa Minematsu, Li Chen, Fumiya Okubo, Atsushi Shimada
Comparison of Large Language Models for Generating Contextually Relevant Questions. CoRR (2024)
Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. IEEE Access 12 (2024)
Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada
Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. KSEM (2) (2024)
Yiding Li, Atsushi Shimada, Tsubasa Minematsu, Cheng Tang
A framework of specialized knowledge distillation for Siamese tracker on challenging attributes. Mach. Vis. Appl. 35 (4) (2024)
Fumiya Okubo, Tetsuya Shiino, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada
Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials. IEEE Trans. Learn. Technol. 16 (1) (2023)
Yunyu Zhou, Tsubasa Minematsu, Atsushi Shimada
Improvement of Image Segmentation Model for Handwritten Notebook Analytics. ICIP (2023)
Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships. EDM (2023)
Sayaka Kogishi, Tsubasa Minematsu, Atsushi Shimada, Hiroaki Kawashima
Predicting Student Scores Using Browsing Data and Content Information of Learning Materials. AIED (Posters/Late Breaking Results/...) (2023)
Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada
Contrastive Learning for Reading Behavior Embedding in E-book System. AIED (2023)
Seiyu Okai, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Hideaki Uchiyama, Atsushi Shimada
A System to Realize Time- and Location-Independent Teaching and Learning Among Learners Through Sharing Learning-Articles. WCCE (2022)
Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics. LAK (Data Challenge) (2022)
Taiki Hamada, Tsubasa Minematsu, Atsushi Simada, Fumiya Okubo, Yuta Taniguchi
Background Subtraction Network Module Ensemble for Background Scene Adaptation. AVSS (2022)
Boyi Li, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior? LAK (2022)
Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
Scaled-Dot Product Attention for Early Detection of At-risk Students. TALE (2022)
Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
Predicting Student Performance based on Lecture Materials Data using Neural Network Models. LAK (Data Challenge) (2022)
Ahmed Gomaa, Tsubasa Minematsu, Moataz M. Abdelwahab, Mohammed Abo-Zahhad, Rin-Ichiro Taniguchi
Faster CNN-based vehicle detection and counting strategy for fixed camera scenes. Multim. Tools Appl. 81 (18) (2022)
Kanu Shiga, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, Rin-Ichiro Taniguchi
Development and Evaluation of a Field Environment Digest System for Agricultural Education. WCCE (2022)
Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada
Early Detection of At-risk Students based on Knowledge Distillation RNN Models. EDM (2021)
Yuta Taniguchi, Tsubasa Minematsu, Atsushi Shimada
Composing Learning Environments with e-Textbook System (short paper). iTextbooks@AIED (2021)
Takuro Owatari, Atsushi Shimada, Tsubasa Minematsu, Maiya Hori, Rin-Ichiro Taniguchi
Real-Time Learning Analytics Dashboard for Students in Online Classes. TALE (2020)
Sugino Nicolas Alejandro, Tsubasa Minematsu, Atsushi Shimada, Takashi Shibata, Rin-Ichiro Taniguchi, Eiji Kaneko, Hiroyoshi Miyano
Semi-automatic Learning Framework Combining Object Detection and Background Subtraction. VISIGRAPP (5: VISAPP) (2020)
Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
Visualization and Analysis for Supporting Teachers Using Clickstream Data and Eye Movement Data. HCI (23) (2020)
Tsubasa Minematsu, Manon Saguey, Atsushi Shimada, Rin-Ichiro Taniguchi
Inactive Behavior Analytics In On-Site Lectures. TALE (2020)
Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction. ICIP (2020)
Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
Simple background subtraction constraint for weakly supervised background subtraction network. AVSS (2019)
Atsushi Shimada, Tsubasa Minematsu, Masanori Yamada
Advanced Tools for Digital Learning Management Systems in University Education. HCI (22) (2019)
Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo-Zahhad, Tsubasa Minematsu, Rin-Ichiro Taniguchi
Robust Vehicle Detection and Counting Algorithm Employing a Convolution Neural Network and Optical Flow. Sensors 19 (20) (2019)
Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi
Analytics of Deep Neural Network-Based Background Subtraction. J. Imaging 4 (6) (2018)
Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Vincent Charvillat, Rin-Ichiro Taniguchi
Reconstruction-Based Change Detection with Image Completion for a Free-Moving Camera. Sensors 18 (4) (2018)
Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi
Simple Combination of Appearance and Depth for Foreground Segmentation. ICIAP Workshops (2017)
Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi
Adaptive background model registration for moving cameras. Pattern Recognit. Lett. 96 (2017)
Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
Analytics of deep neural network in change detection. AVSS (2017)
Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
Background initialization based on bidirectional analysis and consensus voting. ICPR (2016)
Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi
Adaptive search of background models for object detection in images taken by moving cameras. ICIP (2015)
Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi
Evaluation of foreground detection methodology for a moving camera. FCV (2015)