Lucia, F.
* 2022: Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study
Lucian, A.[Andrei]
* 2014: Remote spectral imaging with simultaneous extraction of 3D topography for historical wall paintings
Luciani, G.
* 2021: Zonation of Subalpine Lakes Based on Remotely Sensed Water Quality Parameters
Luciano, L.[Lorenzo]
* 2009: Automated Multimodal Biometrics Using Face and Ear
* 2018: Deep learning with geodesic moments for 3D shape classification
* 2018: Deep similarity network fusion for 3D shape classification
Lucic, M.[Mario]
* 2019: Self-Supervised GANs via Auxiliary Rotation Loss
* 2020: Self-Supervised Learning of Video-Induced Visual Invariances
* 2021: On Robustness and Transferability of Convolutional Neural Networks
* 2021: Representation learning from videos in-the-wild: An object-centric approach
* 2021: ViViT: A Video Vision Transformer
* 2022: Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
* 2022: Which Model to Transfer? Finding the Needle in the Growing Haystack
* 2023: Audiovisual Masked Autoencoders
* 2023: RUST: Latent Neural Scene Representations from Unposed Imagery
* 2023: Video OWL-ViT: Temporally-consistent open-world localization in video
10 for Lucic, M.
Lucidi, A.
* 2019: European Research Night: New Ways for Communicating Science With ICT and Videomapping, The
* 2019: From TLS to FE Analysis: Points Cloud Exploitation for Structural Behaviour Definition. The San Ciriaco's Bell Tower
* 2021: Point Cloud Exploitation for Structural Modeling and Analysis: A Reliable Workflow
Lucido, L.
* 1996: integrated multiscale approach for terrain referenced underwater navigation, An
Lucido, M.
* 2014: Electromagnetic Scattering by a Perfectly Conducting Rectangular Plate Buried in a Lossy Half-Space
Lucieer, A.
* 2002: Existential uncertainty of spatial objects segmented from satellite sensor imagery
* 2012: Accuracy Assessment of Georeferenced Point Clouds Produced Via Multi-view Stereo Techniques Applied to Imagery Acquired Via Unmanned Aerial Vehicle, An
* 2012: Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
* 2012: Assessing the Feasibility of UAV-Based LIDAR for High Resolution Forest Change Detection
* 2012: Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds, An
* 2012: Development of a UAV-LiDAR System with Application to Forest Inventory
* 2012: Sensor Correction And Radiometric Calibration Of A 6-band Multispectral Imaging Sensor For Uav Remote Sensing
* 2012: Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing
* 2012: Using a Micro-UAV for Ultra-High Resolution Multi-sensor Observations Of Antarctic Moss Beds
* 2013: Estimating Bedding Orientation From High-Resolution Digital Elevation Models
* 2014: Assessment of the Repeatability of Automatic Forest Inventory Metrics Derived From UAV-Borne Laser Scanning Data, An
* 2014: Direct Georeferencing of Ultrahigh-Resolution UAV Imagery
* 2014: Evaluating Tree Detection and Segmentation Routines on Very High Resolution UAV LiDAR Data
* 2014: Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds
* 2015: Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis, The
* 2015: Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV)
* 2017: Benchmarking the Applicability of Ontology in Geographic Object-Based Image Analysis
* 2017: Poppy Crop Height and Capsule Volume Estimation from a Single UAS Flight
* 2018: Assessing the Impact of Spectral Resolution on Classification of Lowland Native Grassland Communities Based on Field Spectroscopy in Tasmania, Australia
* 2018: Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows
* 2019: Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors
* 2019: Feature Filtering and Selection for Dry Matter Estimation On Perennial Ryegrass: a Case Study of Vegetation Indices
* 2019: Lever-arm and boresight correction, and field of view determination of a spectroradiometer mounted on an unmanned aircraft system
* 2019: Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping
* 2019: Robust Rule-Based Ensemble Framework Using Mean-Shift Segmentation for Hyperspectral Image Classification, A
* 2019: Tree Species Classification Based On 3d Spectral Point Clouds And Orthomosaics Acquired By Snapshot Hyperspectral Uas Sensor
* 2019: Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice, An
* 2020: Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System
* 2020: From Drones to Phenotype: Using UAV-LiDAR to Detect Species and Provenance Variation in Tree Productivity and Structure
* 2020: Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level
* 2020: Solar-Induced Chlorophyll Fluorescence Measured From an Unmanned Aircraft System: Sensor Etaloning and Platform Motion Correction
* 2021: Comparison of ALS and Dense Photogrammetric Point Clouds for Individual Tree Detection in Radiata Pine Plantations, A
* 2021: Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings
* 2021: Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests
* 2021: Underwater Hyperspectral Imaging (UHI): A Review of Systems and Applications for Proximal Seafloor Ecosystem Studies
* 2022: Considerations for Assessing Functional Forest Diversity in High-Dimensional Trait Space Derived from Drone-Based Lidar
* 2022: Tree Detection and Species Classification in a Mixed Species Forest Using Unoccupied Aircraft System (UAS) RGB and Multispectral Imagery
Includes: Lucieer, A. Lucieer, A.[Arko]
37 for Lucieer, A.
Lucieer, V.[Vanessa]
* 2016: Fine-Scale Sea Ice Structure Characterized Using Underwater Acoustic Methods
* 2019: Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice, An
* 2021: Underwater Hyperspectral Imaging (UHI): A Review of Systems and Applications for Proximal Seafloor Ecosystem Studies
Lucieer, V.L.
* 2017: Artefacts in Marine Digital Terrain Models: A Multiscale Analysis of Their Impact on the Derivation of Terrain Attributes
Lucier, B.[Bradley]
* 2009: Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising, The
Lucier, B.J.
* 1994: Classifying the Smoothness of Images: Theory and Applications to Wavelet Image Processing
* 1998: Nonlinear Wavelet Image-Processing: Variational-Problems, Compression, and Noise Removal Through Wavelet Shrinkage
* 1998: Wavelet decomposition based representation of nonlinear color transformations and comparison with sequential linear interpolation
* 2001: Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space
* 2001: Wavelet Methods for Inverting the Radon Transform with Noisy Data
* 2011: Upwind Finite-Difference Method For Total Variation-Based Image Smoothing, An
* 2019: Pointwise Besov Space Smoothing of Images
Includes: Lucier, B.J. Lucier, B.J.[Bradley J.]
7 for Lucier, B.J.
Lucieri, A.[Adriano]
* 2021: XAI Handbook: Towards a Unified Framework for Explainable AI
Lucile, R.[Rossi]
* 2012: Special session on image processing for natural risks (IPNR)
Lucini, M.M.[Maria Magdalena]
* 2002: M-Estimators of Roughness and Scale for GA0-Modelled SAR Imagery
* 2009: Robust Principal Components for Hyperspectral Data Analysis
Includes: Lucini, M.M.[Maria Magdalena] Lucini, M.M.[Marķa Magdalena] Lucini, M.M.[Marķa M.]
Lucio, D.[Djalma]
* 2018: Hough Transform for real-time plane detection in depth images
Lucio, D.R.
* 2017: Combining visual and acoustic features for audio classification tasks
* 2020: Deep representations for cross-spectral ocular biometrics
Includes: Lucio, D.R. Lucio, D.R.[Diego Rafael]
Lucius, C.[Christian]
* 1996: Measurement of Motion Deformation in a Sequence of Images
Luciw, M.[Matthew]
* 2010: Online learning for attention, recognition, and tracking by a single developmental framework
* 2011: Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework
Includes: Luciw, M.[Matthew] Luciw, M.
Luciw, M.D.
* 2014: Brain-Inspired Concept Networks: Learning Concepts from Cluttered Scenes