Index for gond

Gond, L.[Laetitia] * 2007: Real-Time Posture Analysis in a Crowd using Thermal Imaging
* 2008: 3D Shape Descriptor for Human Pose Recovery, A
* 2009: regression-based approach to recover human pose from voxel data, A

Gond, V.[Valery] * 2014: Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions
* 2016: Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests, The
* 2016: Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana
* 2019: Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest-Agriculture Mosaics in Temperate and Tropical Landscapes
* 2021: Automatic Detection of Inland Water Bodies along Altimetry Tracks for Estimating Surface Water Storage Variations in the Congo Basin
Includes: Gond, V.[Valery] Gond, V.[Valéry]

Gondal, I.[Iqbal] * 2010: Scarf: Semi-automatic Colorization and Reliable Image Fusion
* 2010: VSAMS: Video Stabilization Approach for Multiple Sensors
* 2011: Action Recognition Using Spatio-Temporal Distance Classifier Correlation Filter
* 2011: Contextual Action Recognition in Multi-sensor Nighttime Video Sequences
* 2011: On dynamic scene geometry for view-invariant action matching
* 2011: On dynamic scene geometry for view-invariant action matching
* 2013: On Temporal Order Invariance for View-Invariant Action Recognition
* 2016: Action-02MCF: A Robust Space-Time Correlation Filter for Action Recognition in Clutter and Adverse Lighting Conditions
8 for Gondal, I.

Gondal, M.W.[Muhammad Waleed] * 2018: Unreasonable Effectiveness of Texture Transfer for Single Image Super-Resolution, The
* 2024: Domain Aligned CLIP for Few-shot Classification

Gondal, W.M. * 2017: Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images

Gondary Jouet, C.[Catherine] * 2009: Automatic Fontanel Extraction from Newborns' CT Images Using Variational Level Set
Includes: Gondary Jouet, C.[Catherine] Gondary-Jouet, C.[Catherine]

Gonde, A.[Anil] * 2019: 3D local circular difference patterns for biomedical image retrieval

Gonde, A.B.[Anil Balaji] * 2010: Complex wavelet transform with vocabulary tree for content based image retrieval
* 2010: new feature for image retrieval using ŕ trous wavelet transform and textons, A
* 2011: Image retrieval using improved texton co-occurrence matrix
* 2016: Local directional mask maximum edge patterns for image retrieval and face recognition
* 2018: Multi-dimensional multi-directional mask maximum edge pattern for bio-medical image retrieval
* 2019: ANTIC: Antithetic isomeric cluster patterns for medical image retrieval and change detection
* 2019: Local energy oriented pattern for image indexing and retrieval
* 2021: Deep Adversarial Network for Scene Independent Moving Object Segmentation
* 2021: Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments, An
Includes: Gonde, A.B.[Anil Balaji] Gonde, A.B.
9 for Gonde, A.B.

Gondek, J. * 2017: Direct Pattern Control Halftoning of Neugebauer Primaries

Gondek, J.S.[Jay S.] * 2000: Computerized method for improving data resolution

Gonder, J.D. * 2018: Cooperative and Integrated Vehicle and Intersection Control for Energy Efficiency (CIVIC-E2)

Gondim, M.A.A.[Marcos A.A.] * 2019: Steerable Fourier number transform with application to image encryption

Gondow, K.[Katsuhiko] * 2018: Robust Index Code to Distribute Digital Images and Digital Contents Together

Gondra, I.[Iker] * 2004: Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
* 2008: Content-based image retrieval with the normalized information distance
* 2010: Image region re-weighting via multiple instance learning
* 2012: Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features
* 2012: simple and effective texture characterization for image segmentation, A
* 2014: Learning spatial relations for object-specific segmentation using Bayesian network model
* 2014: Object Segmentation through Multiple Instance Learning
* 2015: Attributed Relational Graph-Based Learning of Object Models for Object Segmentation
* 2015: Automated Localization of Brain Tumors in MRI Using Potential-K-Means Clustering Algorithm
* 2018: Common Random Subgraph Modeling Using Multiple Instance Learning
Includes: Gondra, I.[Iker] Gondra, I.
10 for Gondra, I.

Gondran, M. * 1998: Automatic Interpretation of Contour Lines by Using External Data

Gondre, C. * 2016: Comparison and Evaluation of Sonification Strategies for Guidance Tasks

Gondry Jouet, C.[Catherine] * 2014: Automatic segmentation of newborns' skull and fontanel from CT data using model-based variational level set
Includes: Gondry Jouet, C.[Catherine] Gondry-Jouet, C.[Catherine]

Gondwe, M.[Mangaliso] * 2019: Overall Evaluation of Water Transparency in Lake Malawi from MERIS Data, An

Index for "g"


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