Index for sheh

Shehab, D.[Doaa] * 2019: Statistical detection of a panic behavior in crowded scenes

Shehab, F. * 2017: Uniaxial Complex Relative Permittivity Tensor Measurement of Rocks From 40 Hz to 4.5 GHz

Shehab, M.[Mohammed] * 2020: Parallel implementation for 3D medical volume fuzzy segmentation

Shehada, K.[Khaled] * 2023: Going Beyond Nouns With Vision & Language Models Using Synthetic Data

Shehada, M. * 2015: QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE

Shehaj, E.[Endrit] * 2023: Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches

Shehanaz, S.[Shaik] * 2020: End to end system for hazy image classification and reconstruction based on mean channel prior using deep learning network

Shehata, A.[Allam] * 2021: Deep Gait Relative Attribute using a Signed Quadratic Contrastive Loss
* 2023: Annotator-dependent uncertainty-aware estimation of gait relative attributes

Shehata, A.W.[Ahmed W.] * 2021: Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance

Shehata, M. * 2013: Automatic License Plate Recognition (ALPR): A State-of-the-Art Review
* 2015: level set-based framework for 3D kidney segmentation from diffusion MR images, A
* 2016: Features of Internal Jugular Vein Contours for Classification
* 2016: Performance Evaluation of 3D Keypoints and Descriptors
* 2016: Physiological Features of the Internal Jugular Vein from B-Mode Ultrasound Imagery
* 2018: Role of Integrating Diffusion MR Image-Markers with Clinical-Biomarkers For Early Assessment of Renal Transplants
* 2018: Sixth Visual Object Tracking VOT2018 Challenge Results, The
* 2019: Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results
* 2020: Deep Learning-Based CAD System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers, A
* 2021: Ninth Visual Object Tracking VOT2021 Challenge Results, The
* 2021: Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma, A
* 2022: Comprehensive Non-invasive System for Early Grading of Gliomas, A
* 2023: Early Diagnosis of Prostate Cancer Using Parametric Estimation of IVIM from DW-MRI
Includes: Shehata, M. Shehata, M.[Mohamed]
13 for Shehata, M.

Shehata, M.S. * 2008: Video-Based Automatic Incident Detection for Smart Roads: The Outdoor Environmental Challenges Regarding False Alarms
* 2015: Feasibility of a semi-automated approach to grading point of care ultrasound image generation skills
* 2015: Moving object detection from moving platforms using Lagrange multiplier
* 2015: UT-MARO: Unscented Transformation and Matrix Rank Optimization for Moving Objects Detection in Aerial Imagery
* 2016: novel method for segmenting moving objects in aerial imagery using matrix recovery and physical spring model, A
* 2016: StableFlow: A novel real-time method for digital video stabilization
* 2017: Effect of Denoising Algorithms on Video Stabilization
* 2018: DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
* 2018: MARO: matrix rank optimization for the detection of small-size moving objects from aerial camera platforms
* 2019: Accelerated Sequential PCP-Based Method for Ground-Moving Objects Detection From Aerial Videos, An
* 2019: Adaptive Polar Active Contour for Segmentation and Tracking in Ultrasound Videos
* 2019: KRMARO: Aerial Detection of Small-Size Ground Moving Objects Using Kinematic Regularization and Matrix Rank Optimization
* 2020: DP-Siam: Dynamic Policy Siamese Network for Robust Object Tracking
* 2020: Local null space pursuit for real-time moving object detection in aerial surveillance
* 2021: Task-based parameter isolation for foreground segmentation without catastrophic forgetting using multi-scale region and edges fusion network
* 2021: TransBlast: Self-Supervised Learning Using Augmented Subspace with Transformer for Background/Foreground Separation
* 2022: Few-Shot Learning Network for Moving Object Detection Using Exemplar-Based Attention Map
* 2022: NullSpaceRDAR: Regularized discriminative adaptive nullspace for object tracking
* 2022: Salient object detection using semantic segmentation technique
* 2023: Distilling Part-whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic Segmentation Framework
* 2023: Masked Embedding Modeling With Rapid Domain Adjustment for Few-Shot Image Classification
Includes: Shehata, M.S. Shehata, M.S.[Mohamed S.]
21 for Shehata, M.S.

Shehata, O.M.[Omar M.] * 2023: Development and Evaluation of a Unified Integrated Platoon Control System Architecture

Shehata, S. * 2017: EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Shehatal, M. * 2018: New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection, A

Shehhi, M.R.A.[Maryam R. Al] * 2017: Improved atmospheric correction and chlorophyll-a remote sensing models for turbid waters in a dusty environment

Shehin, A.U. * 2024: Copy Move Forgery detection and localisation robust to rotation using block based Discrete Cosine Transform and eigenvalues

Shehryar, T.[Tehmina] * 2020: Improved automated detection of glaucoma by correlating fundus and SD-OCT image analysis
* 2021: Automated diagnosis system for age-related macular degeneration using hybrid features set from fundus images
* 2024: Deep learning based Glaucoma Network Classification (GNC) using retinal images

Shehu, A.[Aurela] * 2014: Characterization of Partial Intrinsic Symmetries

Shehu, E. * 2015: Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations, A
* 2023: Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences
Includes: Shehu, E. Shehu, E.[Elima]

Shehu, H.A.[Harisu Abdullahi] * 2020: Emotion Categorization from Video-frame Images Using a Novel Sequential Voting Technique

Shehu, K. * 2019: Multispectral and Hyperspectral Satellite Data for Alteration Mapping Using Partial-Subpixel Algorithm in an Unexplored Region

Shehzad, K.[Khuram] * 2016: Mapping Deforestation and Forest Degradation Patterns in Western Himalaya, Pakistan

Shehzad, M.I.[Muhammad Imran] * 2017: K-Means Based Multiple Objects Tracking with Long-Term Occlusion Handling

Shehzad, M.K.[Muhammad Karam] * 2021: Drone-Aided Blockchain-Based Smart Vehicular Network, A

Shehzad, T.[Tariq] * 2020: Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering

Index for "s"