Index for lara

Lara Alvarez, C.[Carlos] * 2006: Probabilistic Approach to Build 2D Line Based Maps from Laser Scans in Indoor Environments, A
* 2007: Robust Local Localization of a Mobile Robot in Indoor Environments Using Virtual Corners
* 2009: Simple Sample Consensus Algorithm to Find Multiple Models, A
* 2014: Automated Banknote Identification Method for the Visually Impaired
* 2014: Geometric Indexing for Recognition of Places
* 2021: Induction of Emotional States in Educational Video Games Through a Fuzzy Control System
Includes: Lara Alvarez, C.[Carlos] Lara-Alvarez, C.[Carlos] Lara-Álvarez, C.

Lara Alvarez, G.[Gustavo] * 2016: novel geometric graph miner and its applications, A
Includes: Lara Alvarez, G.[Gustavo] Lara-Alvarez, G.[Gustavo]

Lara Benitez, P.[Pedro] * 2021: On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
Includes: Lara Benitez, P.[Pedro] Lara-Benítez, P.[Pedro]

Lara Cardenas, E. * 2020: Preliminary Study on Score-based Hyper-heuristics for Solving the Bin Packing Problem, A
Includes: Lara Cardenas, E. Lara-Cárdenas, E.

Lara Cueva, R. * 2020: New Volcanic Seismic Signal Descriptor and its Application to a Data Set From the Cotopaxi Volcano, A
Includes: Lara Cueva, R. Lara-Cueva, R.

Lara Cueva, R.A. * 2016: Automatic Recognition of Long Period Events From Volcano Tectonic Earthquakes at Cotopaxi Volcano
Includes: Lara Cueva, R.A. Lara-Cueva, R.A.

Lara Gomez, M.A.[Miguel Angel] * 2023: Comparison of Errors Produced by ABA and ITC Methods for the Estimation of Forest Inventory Attributes at Stand and Tree Level in Pinus radiata Plantations in Chile
Includes: Lara Gomez, M.A.[Miguel Angel] Lara-Gómez, M.Á.[Miguel Ángel]

Lara Guevara, A. * 2009: Morphological Background Detection and Enhancement of Images With Poor Lighting
Includes: Lara Guevara, A. Lara-Guevara, A.

Lara Hernandez, A. * 2023: Deep Learning-Based Image Registration in Dynamic Myocardial Perfusion CT Imaging
Includes: Lara Hernandez, A. Lara-Hernández, A.

Lara, A.C.[Arnaldo Camara] * 2013: Granulometry Based Descriptor for Object Categorization, A
Includes: Lara, A.C.[Arnaldo Camara] Lara, A.C.[Arnaldo Câmara]

Lara, C.[Carlos] * 2018: Temporal Variability of MODIS Phenological Indices in the Temperate Rainforest of Northern Patagonia
* 2019: Coupled Biospheric Synchrony of the Coastal Temperate Ecosystem in Northern Patagonia: A Remote Sensing Analysis
* 2019: Seasonal Variability of Upwelling off Central-Southern Chile
* 2021: Climatic Regulation of Vegetation Phenology in Protected Areas along Western South America
* 2021: Seasonal Variability of SST Fronts in the Inner Sea of Chiloé and Its Adjacent Coastal Ocean, Northern Patagonia
* 2023: Temporal Synchrony in Satellite-Derived Ocean Parameters in the Inner Sea of Chiloe, Northern Patagonia, Chile

Lara, D. * 2014: Fast and viewpoint robust human detection in uncluttered environments
* 2016: Dynamic collaboration of far-infrared and visible spectrum for human detection

Lara, M.A.[Miguel Angel] * 2020: Modeling Major Rural Land-Use Changes Using the GIS-Based Cellular Automata Metronamica Model: The Case of Andalusia (Southern Spain)
Includes: Lara, M.A.[Miguel Angel] Lara, M.Á.[Miguel Ángel]

Lara, M.J.[Mark Jason] * 2020: robust visible near-infrared index for fire severity mapping in Arctic tundra ecosystems, A
* 2021: Periglacial Lake Origin Influences the Likelihood of Lake Drainage in Northern Alaska
* 2022: Multisensor UAS mapping of Plant Species and Plant Functional Types in Midwestern Grasslands
Includes: Lara, M.J.[Mark Jason] Lara, M.J.[Mark J.]

Lara, O.[Osvaldo] * 2018: Definition of Strategies for the Reduction of Operational Inefficiencies in a Stroke Unit

Lara, P.[Pedro] * 2019: Exact Expectation Evaluation and Design of Variable Step-Size Adaptive Algorithms
* 2020: Advances on the analysis of the LMS algorithm with a colored measurement noise

Lara, R.[Roman] * 2022: Toward Real-Time Volcano Seismic Events' Classification: A New Approach Using Mathematical Morphology and Similarity Criteria
Includes: Lara, R.[Roman] Lara, R.[Román]

Laraba, S.[Sohaib] * 2019: Leveraging Pre-trained CNN Models for Skeleton-based Action Recognition
* 2020: Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization
Includes: Laraba, S.[Sohaib] Laraba, S.

Larabi, C. * 2011: robust content-based JPWL transmission over a realistic MIMO channel under perceptual constraints, A
* 2012: Multi-resolution patch and window-based priority for digital image inpainting problem
* 2013: Perceptual quality assessment for color image inpainting
Includes: Larabi, C. Larabi, C.[Chaker]

Larabi, M. * 2010: Using the HVS binocular properties for the construction of a comprehensive stereoscopic matching model
* 2018: No-Reference Quality Assessment of Stereoscopic Images Based on Binocular Combination of Local Features Statistics
* 2019: Blind Stereopair Quality Assessment Using Statistics of Monocular and Binocular Image Structures
* 2019: Flexible Motion Vector Resolution Prediction for Video Coding

Larabi, M.C. * 2006: Novel Approach for Constructing an Achromatic Contrast Sensitivity Function by Matching, A
* 2008: Image Rendering Based on a Spatial Extension of the CIECAM02
* 2008: Quality Assessment for CRT and LCD Color Reproduction Using a Blind Metric
* 2009: Low-complexity enhanced lapped transform for image coding in JPEG XR / HD photo
* 2009: New H.264 intra-rate estimation and inter-rate control driven by improved MAD-based Contrast Sensitivity
* 2009: Still image coding using a wavelet-like transform
* 2010: Optimizing the disparity map by the integration of HVS binocular properties for efficient coding of stereoscopic images
* 2010: Stereo image coding based on binocular energy modeling
* 2010: Towards a perceptual quality metric for color stereo images
* 2011: Adaptive quantization based on saliency map at frame level of H.264/AVC rate control scheme
* 2011: Quality estimation based on interest points through hierarchical saliency maps
* 2012: Colour image super-resolution using geometric grouplets
* 2012: efficient demosaicing technique using geometrical information, An
* 2012: Stereo image coding based on the binocular compensation/suppression
* 2013: Attentional mechanisms driven adaptive quantization and selective bit allocation scheme for H.264/AVC
* 2013: Biologically inspired approaches for visual information processing and analysis
* 2013: survey of perceptual image processing methods, A
* 2014: Asymmetric coding of stereoscopic 3D based on perceptual significance
* 2014: Feature-Based Color Correction of Multiview Video for Coding and Rendering Enhancement
* 2014: No-reference perceptual blur metric for stereoscopic images
* 2014: Spatio-temporal modeling of visual attention for stereoscopic 3D video
* 2014: Stereoscopic image quality metric based on local entropy and binocular just noticeable difference
* 2014: Visual attention modeling for 3D video using neural networks
* 2015: case study in identifying acceptable bitrates for human face recognition tasks, A
* 2015: Color calibration of multi-view video plus depth for advanced 3D video
* 2015: visual attention model for stereoscopic 3D images using monocular cues, A
* 2016: Adaptive colorization-based compression for stereoscopic images
* 2016: On the performance of 3D just noticeable difference models
* 2016: Perceptually-adaptive quantization for stereoscopic video coding
* 2016: Universal blind image quality assessment for stereoscopic images
* 2017: Blind image quality assessment in the complex frequency domain
* 2017: Full-reference stereoscopic image quality assessment accounting for binocular combination and disparity information
* 2017: Perceptually Driven Nonuniform Asymmetric Coding of Stereoscopic 3D Video
* 2017: Towards light-compensated saliency prediction for omnidirectional images
* 2018: Low complexity intra prediction mode decision for 3D-HEVC depth coding
* 2018: Towards an automatic correction of over-exposure in photographs: Application to tone-mapping
* 2020: Perceptual Versus Latitude-Based 360-Deg Video Coding Optimization
* 2021: Convolutional Neural Networks for Omnidirectional Image Quality Assessment: Pre-Trained or Re-Trained?
* 2021: Deep High Dynamic Range Imaging Using Differently Exposed Stereo Images
* 2021: Lighter and Faster Cross-Concatenated Multi-Scale Residual Block Based Network for Visual Saliency Prediction
* 2021: Perceptually-Weighted Cnn for 360-Degree Image Quality Assessment Using Visual Scan-Path and Jnd
* 2022: Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark
* 2022: Investigating Normalization Methods for CNN-Based Image Quality Assessment
* 2022: Lighter and Faster Two-Pathway CMRNet for Video Saliency Prediction
* 2022: Transfer Learning from Vision Transformers or ConvNets for 360-Degree Images Quality Assessmentƒ
* 2023: Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA Training
* 2023: Towards explainable deep visual saliency models
Includes: Larabi, M.C. Larabi, M.C.[Mohamed-Chaker]
47 for Larabi, M.C.

Larabi, S.[Slimane] * 2003: LWDOS: Language for Writing Descriptors of Outline Shapes
* 2009: Textual description of shapes
* 2010: Detection and analysis of symmetrical parts on face for head pose estimation
* 2010: Matching Descriptors Of Noisy Outline Shapes
* 2010: Shape matching using coarse descriptors
* 2012: Contour Detection by Image Analogies
* 2012: Learning symmetrical model for head pose estimation
* 2012: Matching Noisy Outline Contours Using a Descriptor Reduction Approach
* 2013: Head Direction Estimation from Silhouette
* 2013: Outlines of Objects Detection by Analogy
* 2014: Background Subtraction Algorithms with Post-processing: A Review
* 2014: Curve normalization for shape retrieval
* 2014: Image Segmentation by Image Analogies
* 2014: User-independent system for sign language finger spelling recognition
* 2015: Discriminative outlines parts for shape retrieval
* 2015: Head pose estimation based on face symmetry analysis
* 2015: SIFT Descriptor for Binary Shape Discrimination, Classification and Matching
* 2018: Direction estimation of moving pedestrian groups for intelligent vehicles
* 2018: image analogy approach for multi-scale image segmentation, An
* 2019: Ego-Semantic Labeling of Scene from Depth Image for Visually Impaired and Blind People
* 2020: Zero-sum game theory model for segmenting skin regions
Includes: Larabi, S.[Slimane] Larabi, S.
21 for Larabi, S.

Larabi, Z.[Zahir] * 2012: Exploration of 3D grid caching strategies for ray-shooting

Laraby, K. * 2018: Operational Land Surface Temperature Product for Landsat Thermal Data: Methodology and Validation, An

Laradji, I. * 2019: Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation
* 2020: Embedding Propagation: Smoother Manifold for Few-shot Classification
* 2021: Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
* 2021: Learning Data Augmentation with Online Bilevel Optimization for Image Classification
* 2021: SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
* 2021: Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images, A
* 2022: CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
* 2022: Kubric: A scalable dataset generator
* 2022: Neural Point Light Fields
* 2023: OCR-VQGAN: Taming Text-within-Image Generation
* 2023: Survey of Self-Supervised and Few-Shot Object Detection, A
Includes: Laradji, I. Laradji, I.[Issam]
11 for Laradji, I.

Laradji, I.H.[Issam H.] * 2013: Perceptual hashing of color images using hypercomplex representations
* 2018: Where Are the Blobs: Counting by Localization with Point Supervision
* 2020: LOOC: Localize Overlapping Objects with Count Supervision
* 2020: Proposal-Based Instance Segmentation With Point Supervision
Includes: Laradji, I.H.[Issam H.] Laradji, I.H.

Laramee, R.S.[Robert S.] * 2009: distribution-based approach to tracking points in velocity vector fields, A
* 2009: Dynamic Chunking for Out-of-Core Volume Visualization Applications
* 2011: Visualizing Translation Variation: Shakespeare's Othello
* 2013: Visualizing 3D Time-Dependent Foam Simulation Data
* 2015: TimeClassifier: a visual analytic system for the classification of multi-dimensional time series data

Laranga, J.T.[Jofre Tenorio] * 2021: Emotional Features of Interactions with Empathic Agents

Laranjeira, A.[Ana] * 2016: How Deep Can We Rely on Emotion Recognition

Laranjeira, C.[Camila] * 2017: Robust Indoor Scene Recognition Method Based on Sparse Representation, A

Larar, A.M. * 2017: Application of PCRTM Physical Retrieval Methodology for IASI Cloudy Scene Analysis, The
* 2020: Radiometrically Consistent Climate Fingerprinting Using CrIS and AIRS Hyperspectral Observations
* 2024: Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion
Includes: Larar, A.M. Larar, A.M.[Allen M.]

Larasati, H.T.[Harashta Tatimma] * 2022: DTA: Physical Camouflage Attacks using Differentiable Transformation Network
* 2023: ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion

Index for "l"


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