Sahba, F.
* 2005: Segmentation of Prostate Boundaries Using Regional Contrast Enhancement
* 2006: Increasing Object Recognition Rate using Reinforced Segmentation
* 2009: Region, Lesion and Border-Based Multiresolution Analysis of Mammogram Lesions
* 2010: Mean shift based algorithm for mammographic breast mass detection
Includes: Sahba, F. Sahba, F.[Farhang]
Sahbani, A.[Anis]
* 2021: Thermal Image Enhancement using Generative Adversarial Network for Pedestrian Detection
* 2022: Unsupervised thermal-to-visible domain adaptation method for pedestrian detection
* 2023: Improved domain adaptive object detector via adversarial feature learning
* 2023: Improved domain adaptive object detector via adversarial feature learning
Sahbaz, K.[Kadir]
* 2018: Analyzing OpenStreetMap Road Data and Characterizing the Behavior of Contributors in Ankara, Turkey
* 2021: Zonal Displacement Approach via Grid Point Weighting in Building Generalization, A
Sahbeni, G.[Ghada]
* 2023: Analysis of Short-Term Drought Episodes Using Sentinel-3 SLSTR Data under a Semi-Arid Climate in Lower Eastern Kenya
* 2023: Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review
* 2023: Quantitative Analysis of Desertification-Driving Mechanisms in the Shiyang River Basin: Examining Interactive Effects of Key Factors through the Geographic Detector Model
Sahbi, H.
* 2001: Robust Matching by Dynamic Space Warping for Accurate Face Recognition
* 2002: Coarse-to-fine support vector classifiers for face detection
* 2002: Face detection using coarse-to-fine support vector classifiers
* 2002: Scale-Invariance of Support Vector Machines based on the Triangular Kernel
* 2007: Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
* 2008: Context-dependent kernel design for object matching and recognition
* 2008: Manifold learning using robust Graph Laplacian for interactive image search
* 2009: Content-based 3D object retrieval using 2D views
* 2009: Multi-view object matching and tracking using canonical correlation analysis
* 2010: Context-Based Support Vector Machines for Interconnected Image Annotation
* 2010: From 2D Silhouettes to 3D Object Retrieval: Contributions and Benchmarking
* 2010: Network-dependent kernels for image ranking
* 2011: Context-Dependent Kernels for Object Classification
* 2012: Mid-level features and spatio-temporal context for activity recognition
* 2012: Transductive inference and kernel design for object class segmentation
* 2012: Transductive Kernel Map Learning and Its Application Image Annotation
* 2013: Context-Dependent Logo Matching and Recognition
* 2013: Directed Acyclic Graph Kernels for Action Recognition
* 2014: Bags-of-daglets for action recognition
* 2014: Modeling label dependencies in kernel learning for image annotation
* 2014: Network-Dependent Image Annotation Based on Explicit Context-Dependent Kernel Maps
* 2014: Nonlinear Cross-View Sample Enrichment for Action Recognition
* 2015: Contextual kernel map learning for scene transduction
* 2015: ImageCLEF annotation with explicit context-aware kernel maps
* 2016: Misalignment resilient CCA for interactive satellite image change detection
* 2016: Semantic-free attributes for image classification
* 2017: Coarse-to-Fine Deep Kernel Networks
* 2017: Nonlinear Deep Kernel Learning for Image Annotation
* 2018: Deep Context Networks for Image Annotation
* 2018: Learning CCA Representations for Misaligned Data
* 2018: Structured Scene Decoding with Finite State Machines
* 2019: Deep representation design from deep kernel networks
* 2019: Deep Total Variation Support Vector Networks
* 2020: Coarse-to-Fine Aggregation for Cross-Granularity Action Recognition
* 2020: End-to-End Deep Kernel Map Design for Image Annotation
* 2021: Kernel-based Graph Convolutional Networks
* 2021: Learning Connectivity with Graph Convolutional Networks
* 2021: Learning Laplacians in Chebyshev Graph Convolutional Networks
* 2021: Lightweight Connectivity In Graph Convolutional Networks for Skeleton-Based Recognition
* 2021: Weight Reparametrization for Budget-Aware Network Pruning
* 2022: Extracting Effective Subnetworks with Gumbel-Softmax
* 2022: Reinforcement-based Display Selection for Frugal Learning
* 2022: Topologically-Consistent Magnitude Pruning for Very Lightweight Graph Convolutional Networks
* 2023: BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow
* 2023: Phase-field Models for Lightweight Graph Convolutional Networks
* 2024: MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty
Includes: Sahbi, H. Sahbi, H.[Hichem]
46 for Sahbi, H.
Sahbudin, M.A.B.[Murtadha Arif Bin]
* 2022: new fingerprint definition for effective song recognition, A