Melzer, A.
* 2019: On the Safe Road Toward Autonomous Driving: Phase noise monitoring in radar sensors for functional safety compliance
* 2021: Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving
* 2022: Field Testing Satellite-Derived Vegetation Health Indices for a Koala Habitat Managers Toolkit
Includes: Melzer, A. Melzer, A.[Alexander] Melzer, A.[Alistair]
Melzer, B.A.
* 2017: Evaluation of GRACE Mascon Gravity Solution in Relation to Interannual Oceanic Water Mass Variations
Melzer, T.[Thomas]
* 1998: Stroke Detection of Brush Strokes in Portrait Miniatures Using a Semi-Parametric and a Model Based Approach
* 2002: gradient-based eigenspace approach to dealing with occlusions and non-gaussian noise, A
* 2003: Appearance Models Based on Kernel Canonical Correlation Analysis
* 2006: Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner
* 2007: Waveform Analysis Techniques in Airborne Laser Scanning
* 2018: Segmentation of Substantia Nigra Using Weighted Thresholding Method
* 2021: Improving ASCAT Soil Moisture Retrievals With an Enhanced Spatially Variable Vegetation Parameterization
* 2022: Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube
Includes: Melzer, T.[Thomas] Melzer, T.
8 for Melzer, T.
Melzi, M.
* 2020: Velocity Estimation of Multiple Moving Targets in Single-Channel Geosynchronous SAR
Melzi, P.[Pietro]
* 2023: Fishing Gear Classification from Vessel Trajectories and Velocity Profiles: Database and Benchmark
* 2023: GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
* 2023: Multi-IVE: Privacy Enhancement of Multiple Soft-Biometrics in Face Embeddings
* 2024: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
* 2024: SDFR: Synthetic Data for Face Recognition Competition
* 2024: Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Melzi, S.[Simone]
* 2014: Bioinformatics Approach to 3D Shape Matching, A
* 2015: Infinite Feature Selection
* 2016: Functional Maps for Brain Classification on Spectral Domain
* 2016: Online Feature Selection for Visual Tracking
* 2016: Shape Analysis with Anisotropic Windowed Fourier Transform
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2017: Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
* 2017: Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering
* 2019: GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching
* 2019: High-Resolution Augmentation for Automatic Template-Based Matching of Human Models
* 2020: Instant recovery of shape from spectrum via latent space connections
* 2021: Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence with Functional Maps
* 2021: Infinite Feature Selection: A Graph-based Feature Filtering Approach
* 2021: Spectral Shape Recovery and Analysis Via Data-driven Connections
* 2021: Universal Spectral Adversarial Attacks for Deformable Shapes
* 2024: Rematching: Low-resolution Representations for Scalable Shape Correspondence
* 2025: Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
Includes: Melzi, S.[Simone] Melzi, S.
17 for Melzi, S.