Evaluation of foreground detection methodology for a moving camera. - Tsubasa Minematsu; Hideaki Uchiyama; Atsushi Shimada 001; Hajime Nagahara; Rin-Ichiro Taniguchi (FCV, 2015)

Adaptive search of background models for object detection in images taken by moving cameras. - Tsubasa Minematsu; Hideaki Uchiyama; Atsushi Shimada 001; Hajime Nagahara; Rin-Ichiro Taniguchi (ICIP, 2015)

Background initialization based on bidirectional analysis and consensus voting. - Tsubasa Minematsu; Atsushi Shimada 001; Rin-Ichiro Taniguchi (ICPR, 2016)

Analytics of deep neural network in change detection. - Tsubasa Minematsu; Atsushi Shimada 001; Rin-Ichiro Taniguchi (AVSS, 2017)

Simple Combination of Appearance and Depth for Foreground Segmentation. - Tsubasa Minematsu; Atsushi Shimada 001; Hideaki Uchiyama; Rin-Ichiro Taniguchi (ICIAP Workshops, 2017)

Adaptive background model registration for moving cameras. - Tsubasa Minematsu; Hideaki Uchiyama; Atsushi Shimada 001; Hajime Nagahara; Rin-Ichiro Taniguchi (Pattern Recognit. Lett., 2017)

Analytics of Deep Neural Network-Based Background Subtraction. - Tsubasa Minematsu; Atsushi Shimada 001; Hideaki Uchiyama; Rin-Ichiro Taniguchi (J. Imaging, 2018)

Reconstruction-Based Change Detection with Image Completion for a Free-Moving Camera. - Tsubasa Minematsu; Atsushi Shimada 001; Hideaki Uchiyama; Vincent Charvillat; Rin-Ichiro Taniguchi (Sensors, 2018)

Simple background subtraction constraint for weakly supervised background subtraction network. - Tsubasa Minematsu; Atsushi Shimada 001; Rin-Ichiro Taniguchi (AVSS, 2019)

Advanced Tools for Digital Learning Management Systems in University Education. - Atsushi Shimada 001; Tsubasa Minematsu; Masanori Yamada (HCI (22), 2019)

Robust Vehicle Detection and Counting Algorithm Employing a Convolution Neural Network and Optical Flow. - Ahmed Gomaa; Moataz M. Abdelwahab; Mohammed Abo-Zahhad 001; Tsubasa Minematsu; Rin-Ichiro Taniguchi (Sensors, 2019)

Visualization and Analysis for Supporting Teachers Using Clickstream Data and Eye Movement Data. - Tsubasa Minematsu; Atsushi Shimada 001; Rin-Ichiro Taniguchi (HCI (23), 2020)

OpenLA: Library for Efficient E-book Log Analysis and Accelerating Learning Analytics. - Ryusuke Murata; Tsubasa Minematsu; Atsushi Shimada 001 (ICCE, 2020)

Learning Support through Personalized Review Material Recommendations. - Tetsuya Shiino; Atsushi Shimada 001; Tsubasa Minematsu; Rin-Ichiro Taniguchi (ICCE, 2020)

Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction. - Tsubasa Minematsu; Atsushi Shimada 001; Rin-Ichiro Taniguchi (ICIP, 2020)

Inactive Behavior Analytics In On-Site Lectures. - Tsubasa Minematsu; Manon Saguey; Atsushi Shimada 001; Rin-Ichiro Taniguchi (TALE, 2020)

Real-Time Learning Analytics Dashboard for Students in Online Classes. - Takuro Owatari; Atsushi Shimada 001; Tsubasa Minematsu; Maiya Hori; Rin-Ichiro Taniguchi (TALE, 2020)

Semi-automatic Learning Framework Combining Object Detection and Background Subtraction. - Sugino Nicolas Alejandro; Tsubasa Minematsu; Atsushi Shimada 001; Takashi Shibata 001; Rin-Ichiro Taniguchi; Eiji Kaneko; Hiroyoshi Miyano (VISIGRAPP (5: VISAPP), 2020)

Composing Learning Environments with e-Textbook System (short paper). - Yuta Taniguchi; Tsubasa Minematsu; Atsushi Shimada 001 (iTextbooks@AIED, 2021)

Early Detection of At-risk Students based on Knowledge Distillation RNN Models. - Ryusuke Murata; Tsubasa Minematsu; Atsushi Shimada 001 (EDM, 2021)

Background Subtraction Network Module Ensemble for Background Scene Adaptation. - Taiki Hamada; Tsubasa Minematsu; Atsushi Shimada 001; Fumiya Okubo; Yuta Taniguchi (AVSS, 2022)

Detection of At-Risk Studentsin Programming Courses. - Ikkei Igawa; Yuta Taniguchi; Tsubasa Minematsu; Fumiya Okubo; Atsushi Shimada 001 (ICCE, 2022)

Topic-Based Representation of Learning Activities for New Learning Pattern Analytics. - Jinghao Wang; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada 001 (ICCE, 2022)

Assessment of At-Risk Students' Predictions From E-Book Activities Representations In Practical Applications. - Erwin D. López Z.; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada 001 (ICCE, 2022)

Predicting Student Performance based on Lecture Materials Data using Neural Network Models. - Sukrit Leelaluk; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada 001 (LAK (Data Challenge), 2022)

How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior? - Boyi Li; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada 001 (LAK, 2022)

Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics. - Erwin D. López Z.; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada 001 (LAK (Data Challenge), 2022)

Scaled-Dot Product Attention for Early Detection of At-risk Students. - Sukrit Leelaluk; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Takayoshi Yamashita; Atsushi Shimada 001 (TALE, 2022)

A System to Realize Time- and Location-Independent Teaching and Learning Among Learners Through Sharing Learning-Articles. - Seiyu Okai; Tsubasa Minematsu; Fumiya Okubo; Yuta Taniguchi; Hideaki Uchiyama; Atsushi Shimada 001 (WCCE, 2022)

Development and Evaluation of a Field Environment Digest System for Agricultural Education. - Kanu Shiga; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada 001; Rin-Ichiro Taniguchi (WCCE, 2022)

Faster CNN-based vehicle detection and counting strategy for fixed camera scenes. - Ahmed Gomaa; Tsubasa Minematsu; Moataz M. Abdelwahab; Mohammed Abo-Zahhad 001; Rin-Ichiro Taniguchi (Multim. Tools Appl., 2022)

Predicting Student Scores Using Browsing Data and Content Information of Learning Materials. - Sayaka Kogishi; Tsubasa Minematsu; Atsushi Shimada 001; Hiroaki Kawashima (AIED (Posters/Late Breaking Results/...), 2023)

Contrastive Learning for Reading Behavior Embedding in E-book System. - Tsubasa Minematsu; Yuta Taniguchi; Atsushi Shimada 001 (AIED, 2023)

LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships. - Erwin D. López Z.; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada 001 (EDM, 2023)

Investigating Programming Performance Predictability from Embedding Vectors of Coding Behaviors. - Ikkei Igawa; Yuta Taniguchi; Tsubasa Minematsu; Fumiya Okubo; Atsushi Shimada 001 (ICCE, 2023)

Improvement of Image Segmentation Model for Handwritten Notebook Analytics. - Yunyu Zhou; Tsubasa Minematsu; Atsushi Shimada 001 (ICIP, 2023)

Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials. - Fumiya Okubo; Tetsuya Shiino; Tsubasa Minematsu; Yuta Taniguchi; Atsushi Shimada 001 (IEEE Trans. Learn. Technol., 2023)

Analysis of Adapter in Attention of Change Detection Vision Transformer. - Ryunosuke Hamada; Tsubasa Minematsu; Cheng Tang 001; Atsushi Shimada 001 (ACCV Workshops (1), 2024)

Comparison of Large Language Models for Generating Contextually Relevant Questions. - Ivo Lodovico Molina; Valdemar Svábenský; Tsubasa Minematsu; Li Chen 032; Fumiya Okubo; Atsushi Shimada 001 (EC-TEL (2), 2024)

E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. - Yuma Miyazaki; Valdemar Svábenský; Yuta Taniguchi; Fumiya Okubo; Tsubasa Minematsu; Atsushi Shimada 001 (EDM, 2024)

Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. - Cheng Tang 001; Li Chen 032; Gen Li; Tsubasa Minematsu; Fumiya Okubo; Yuta Taniguchi; Atsushi Shimada 001 (KSEM (2), 2024)

Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. - Sukrit Leelaluk; Cheng Tang 001; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Takayoshi Yamashita; Atsushi Shimada 001 (IEEE Access, 2024)

A framework of specialized knowledge distillation for Siamese tracker on challenging attributes. - Yiding Li; Atsushi Shimada 001; Tsubasa Minematsu; Cheng Tang 001 (Mach. Vis. Appl., 2024)

Note-Driven RAG for Learner Performance Estimation via Controlling LLM Knowledge. - Tsubasa Minematsu; Atsushi Shimada 001 (AIED (5), 2025)