Fuse, M.[Megumi]
* 2005: Automated Behavioral Phenotype Detection and Analysis Using Color-Based Motion Tracking
Fuse, T.
* 2012: Multiple Human Tracking In Complex Situation By Data Assimilation With Pedestrian Behavior Model
* 2012: Verification of Image Based Augmented Reality for Urban Visualization
* 2014: Development of a self-localization method using sensors on mobile devices
* 2014: Sensitive Analysis of Observation Model for Human Tracking Using a Stochastic Process
* 2015: Adaptive Parameter Estimation of Person Recognition Model in a Stochastic Human Tracking Process
* 2015: Development of Integration and Adjustment Method for Sequential Range Images
* 2015: Image Selection for 3D Measurement Based on Network Design
* 2015: Self-Localization Method by Integrating Sensors
* 2015: Statistical Anomaly Detection for Monitoring of Human Dynamics
* 2016: Applicability Evaluation Of Object Detection Method To Satellite And Aerial Imageries
* 2016: Development Of Image Selection Method Using Graph Cuts
* 2016: Multi-target Detection From Full-waveform Airborne Laser Scanner Using PHD Filter
* 2017: Development of a Change Detection Method with Low-Performance Point Cloud Data for Updating Three-Dimensional Road Maps
* 2017: Statistical Anomaly Detection in Human Dynamics Monitoring Using a Hierarchical Dirichlet Process Hidden Markov Model
* 2018: Development of Shoreline Extraction Method Based on Spatial Pattern Analysis of Satellite SAR Images
* 2019: Development of Multi-view Stereo Considering Accuracy of Exterior Orientation Elements
* 2020: Preface: Technical Commission II
* 2021: Change Detection of Time-series 3d Point Clouds Using Robust Principal Component Analysis
* 2022: SHAP-Based Interpretable Object Detection Method for Satellite Imagery
* 2023: Comparative Analysis of Digital Elevation Model Generation Methods Based on Sparse Modeling
Includes: Fuse, T. Fuse, T.[Takashi]
20 for Fuse, T.
Fuse, Y.[Yotaro]
* 2019: Robot Model That Obeys a Norm of a Human Group by Participating in the Group and Interacting with Its Members, A
Fusek, R.[Radovan]
* 2011: Hierarchical Blurring Mean-Shift
* 2012: Hierarchical evolving mean-shift
* 2013: Energy-transfer features and their application in the task of face detection
* 2013: Energy-Transfer Features for Pedestrian Detection
* 2013: Hierarchical Layered Mean Shift Methods
* 2013: Layered Mean Shift Methods
* 2013: Layered RC Circuit Model for Background Subtraction
* 2014: Affiliation possibility map filtering for image segmentation improvement
* 2014: Distance-Based Descriptors and Their Application in the Task of Object Detection
* 2014: Gradient-DCT (G-DCT) descriptors
* 2014: Improvement of Energy-Transfer Features Using DCT for Face Detection, An
* 2014: Layered RC circuit with dynamic resistances for background subtraction
* 2016: Energy transfer features combined with DCT for object detection
* 2016: Hierarchical Fast Mean-Shift Segmentation in Depth Images
* 2018: Pupil Localization Using Geodesic Distance
* 2019: Iris Center Localization Using Geodesic Distance and CNN
Includes: Fusek, R.[Radovan] Fusek, R.
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