Madrane, N.
* 1994: Towards Automatic Annotation of Video Documents
Madricardo, F.[Fantina]
* 2020: Spatial and Temporal Changes of Tidal Inlet Using Object-Based Image Analysis of Multibeam Echosounder Measurements: A Case from the Lagoon of Venice, Italy
Madrid Cuevas, F.
* 2016: Viewpoint-independent gait recognition through morphological descriptions of 3D human reconstructions
Includes: Madrid Cuevas, F. Madrid-Cuevas, F.
Madrid Cuevas, F.J.
* 2004: Characterization of empirical discrepancy evaluation measures
* 2004: Method for Dominant Points Detection and Matching 2D Object Identification, A
* 2005: Dominant point detection: A new proposal
* 2005: Evaluation of global thresholding techniques in non-contextual edge detection
* 2007: Dominant Points Detection Using Phase Congruence
* 2008: Automatic generation of consensus ground truth for the comparison of edge detection techniques
* 2008: Contour simplification using a multi-scale local phase analysis
* 2008: Depth silhouettes for gesture recognition
* 2008: Unimodal thresholding for edge detection
* 2009: On candidates selection for hysteresis thresholds in edge detection
* 2009: People detection and tracking with multiple stereo cameras using particle filters
* 2010: Determining Hysteresis Thresholds for Edge Detection by Combining the Advantages and Disadvantages of Thresholding Methods
* 2010: Particle filtering with multiple and heterogeneous cameras
* 2010: Polygonal approximation of digital planar curves through break point suppression
* 2010: Shape from silhouette using Dempster-Shafer theory
* 2010: Solving the process of hysteresis without determining the optimal thresholds
* 2011: new measurement for assessing polygonal approximation of curves, A
* 2011: novel histogram transformation to improve the performance of thresholding methods in edge detection, A
* 2012: octree-based method for shape from inconsistent silhouettes, An
* 2014: Automatic generation and detection of highly reliable fiducial markers under occlusion
* 2014: computation of polygonal approximations for 2D contours based on a concavity tree, The
* 2015: Entropy volumes for viewpoint-independent gait recognition
* 2015: New Method for Obtaining Optimal Polygonal Approximations
* 2015: Novel method to obtain the optimal polygonal approximation of digital planar curves based on Mixed Integer Programming
* 2015: Unsupervised Approximation of Digital Planar Curves
* 2016: efficient unsupervised method for obtaining polygonal approximations of closed digital planar curves, An
* 2016: Generation of fiducial marker dictionaries using Mixed Integer Linear Programming
* 2016: new approach for multi-view gait recognition on unconstrained paths, A
* 2016: new thresholding approach for automatic generation of polygonal approximations, A
* 2016: Simultaneous reconstruction and calibration for multi-view structured light scanning
* 2016: Stereo Pictorial Structure for 2D articulated human pose estimation
* 2020: new approach for optimal time-series segmentation, A
* 2020: Unsupervised generation of polygonal approximations based on the convex hull
* 2021: new approach for optimal offline time-series segmentation with error bound guarantee, A
* 2023: Assessing polygonal approximations: A new measurement and a comparative study
* 2023: Comparison of Neural Network-based Super-resolution Models on 3d Rendered Images, A
Includes: Madrid Cuevas, F.J. Madrid-Cuevas, F.J.[Francisco José] Madrid-Cuevas, F.J. Madrid-Cuevas, F.J.[Francisco J.] Madrid Cuevas, F.J.[Francisco José]
36 for Madrid Cuevas, F.J.
Madrid, H.[Humberto]
* 2012: Sampling Techniques for Monte Carlo Matrix Multiplication with Applications to Image Processing
Madrid, N.M.
* 2012: Sensor Technology Survey for a Stress-Aware Trading Process, A
Madrigal Gomez, J.M.[Jose Manuel]
* 2017: On the Detectability of Buried Remains with Hyperspectral Measurements
Includes: Madrigal Gomez, J.M.[Jose Manuel] Madrigal-Gómez, J.M.[José Manuel]
Madrigal, E.[Emilio]
* 2024: Multistain Pretraining for Slide Representation Learning in Pathology
Madrigal, F.[Francisco]
* 2011: Learning and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking
* 2011: Multiple view, multiple target tracking with principal axis-based data association
* 2013: Evaluation of multiple motion models for multiple pedestrian visual tracking
* 2014: Improving multiple pedestrians tracking with semantic information
* 2014: Intention-Aware Multiple Pedestrian Tracking
* 2015: Motion priors for multiple target visual tracking
* 2017: Hyper-Optimization tools comparison for parameter tuning applications
* 2017: Motion priors based on goals hierarchies in pedestrian tracking applications
* 2018: 3D Head Pose Estimation Enhanced Through SURF-Based Key-Frames
* 2019: Hyper-parameter optimization tools comparison for multiple object tracking applications
* 2021: Audio-Video detection of the active speaker in meetings
* 2021: Late Fusion of Bayesian and Convolutional Models for Action Recognition
Includes: Madrigal, F.[Francisco] Madrigal, F.
12 for Madrigal, F.
Madrigal, G.[Guillermo]
* 2023: Terrestrial Laser Scanning for Non-Destructive Estimation of Aboveground Biomass in Short-Rotation Poplar Coppices
Madrigal, J.[Javier]
* 2020: Investigating Live Fuel Moisture Content Estimation in Fire-Prone Shrubland from Remote Sensing Using Empirical Modelling and RTM Simulations
* 2026: Linking Plant Traits to Fire Potential Mapping: A Feasibility Study in Australian Ecosystems
Madrigal, V.P.[Victor Pajuelo]
* 2018: On the Use of Unmanned Aerial Systems for Environmental Monitoring
Madriz, Y.[Yuleika]
* 2019: Drone-Borne Hyperspectral and Magnetic Data Integration: Otanmäki Fe-Ti-V Deposit in Finland
* 2020: Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems
* 2022: Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs
Madronal, D.
* 2016: Demo: HELICoiD tool demonstrator for real-time brain cancer detection
* 2016: Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform
* 2018: Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons
Includes: Madronal, D. Madroñal, D. Madroñal, D.[Daniel]
Madruga, D.[Diego]
* 2024: New Insights on the Information Content of the Normalized Difference Vegetation Index Sentinel-2 Time Series for Assessing Vegetation Dynamics
Madry, A.[Aleksander]
* 2022: Certified Patch Robustness via Smoothed Vision Transformers
* 2023: Data-Based Perspective on Transfer Learning, A
* 2023: Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
* 2023: FFCV: Accelerating Training by Removing Data Bottlenecks