Sedaaghi, M.
* 2001: Mediated Morphological Filters
Sedaghat, A.
* 2011: Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images
* 2013: efficient approach for robust multimodal retinal image registration based on UR-SIFT features and PIIFD descriptors, An
* 2015: Distinctive Order Based Self-Similarity descriptor for multi-sensor remote sensing image matching
* 2015: Remote Sensing Image Matching Based on Adaptive Binning SIFT Descriptor
* 2018: Uniform competency-based local feature extraction for remote sensing images
* 2019: Illumination-Robust remote sensing image matching based on oriented self-similarity
* 2022: Uniform and Competency-Based 3D Keypoint Detection for Coarse Registration of Point Clouds with Homogeneous Structure
Includes: Sedaghat, A. Sedaghat, A.[Amin]
7 for Sedaghat, A.
Sedaghat, N.[Nima]
* 2015: Unsupervised Generation of a View Point Annotated Car Dataset from Videos
* 2017: Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
Includes: Sedaghat, N.[Nima] Sedaghat, N.
Sedaghat, R.[Reza]
* 2015: Optimized Predictive Zonal Search (OPZS) for block-based motion estimation
Sedai, S.[Suman]
* 2006: Cascade of Fusion for Adaptive Classifier Combination Using Context-Awareness
* 2007: Use of Multiple Contexts for Real Time Face Identification
* 2009: 3D Human Pose Estimation from Static Images Using Local Features and Discriminative Learning
* 2009: Context-Based Appearance Descriptor for 3D Human Pose Estimation from Monocular Images
* 2010: Localized fusion of Shape and Appearance features for 3d Human Pose Estimation
* 2011: Supervised particle filter for tracking 2D human pose in monocular video
* 2013: Discriminative fusion of shape and appearance features for human pose estimation
* 2013: Gaussian Process Guided Particle Filter for Tracking 3D Human Pose in Video, A
* 2015: Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression
* 2016: Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features
* 2016: Retinal Image Quality Classification Using Saliency Maps and CNNs
11 for Sedai, S.
Sedakov, R.[Roman]
* 2020: Spatial Structure, Short-temporal Variability, and Dynamical Features of Small River Plumes as Observed by Aerial Drones: Case Study of the Kodor and Bzyp River Plumes
* 2021: Internal Waves as a Source of Concentric Rings within Small River Plumes
* 2022: Lateral Border of a Small River Plume: Salinity Structure, Instabilities and Mass Transport
Sedano, F.[Fernando]
* 2011: cloud mask methodology for high resolution remote sensing data combining information from high and medium resolution optical sensors, A
* 2011: Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping
* 2012: Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps
* 2012: Increasing Spatial Detail of Burned Scar Maps Using IRS-AWiFS Data for Mediterranean Europe
* 2014: Kalman Filter-Based Method to Generate Continuous Time Series of Medium-Resolution NDVI Images, A
* 2019: Mapping Framework to Characterize Land Use in the Sudan-Sahel Region from Dense Stacks of Landsat Data, A
* 2022: Geo-CropSim: A Geo-spatial crop simulation modeling framework for regional scale crop yield and water use assessment
* 2022: Influence of Charcoal Production on Forest Degradation in Zambia: A Remote Sensing Perspective
Includes: Sedano, F.[Fernando] Sedano, F.
8 for Sedano, F.
Sedano, I.[Inigo]
* 2014: Full-reference video quality metric assisted the development of no-reference bitstream video quality metrics for real-time network monitoring
Sedarat, H.
* 2000: On the optimality of the gridding reconstruction algorithm
Sedas Gersey, S.W.[Sergio William]
* 1993: Algorithms for Automatic Sensor Placement to Acquire Complete and Accurate Information
Includes: Sedas Gersey, S.W.[Sergio William] Sedas-Gersey, S.W.[Sergio William]
Sedat, J.W.[John W.]
* 2007: AIDA: an adaptive image deconvolution algorithm with application to multi-frame and three-dimensional data