Same, A.
* 2018: Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches
Includes: Same, A. Samé, A.
Samee, N.A.[Nagwan Abdel]
* 2022: Deep-Learning-Based Feature Extraction Approach for Significant Wave Height Prediction in SAR Mode Altimeter Data
Sameem, M.S.I.[M. Shujah Islam]
* 2019: deep learning approach for face recognition based on angularly discriminative features, A
Sameen, I.
* 2010: High-Level Synthesis of a Unified 2-D DWT System Architecture for JPEG2000 Using FPGAs
Sameen, M.I.[Maher Ibrahim]
* 2020: Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks
* 2021: Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation
* 2021: Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides, A
Sameer, H.A.[Humam Adnan]
* 2023: Deep learning-based COVID-19 diagnosis using CT scans with laboratory and physiological parameters
Sameer, U.
* 2017: Camera Source Identification Using Discrete Cosine Transform Residue Features and Ensemble Classifier
Sameer, V.U.[Venkata Udaya]
* 2017: Deep Learning Based Counter-Forensic Image Classification for Camera Model Identification
* 2018: K-unknown models detection through clustering in blind source camera identification
* 2021: Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram
Samei, E.
* 2009: Mass detection on mammograms: Influence of signal shape uncertainty on human and model observers
* 2014: Development and Application of a Suite of 4-D Virtual Breast Phantoms for Optimization and Evaluation of Breast Imaging Systems
* 2018: Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond
* 2018: Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins
* 2019: DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography
Samei, G.[Golnoosh]
* 2006: How to tell the difference between a cat and a dog?
* 2018: Real-Time FEM-Based Registration of 3-D to 2.5-D Transrectal Ultrasound Images
* 2022: NeuMan: Neural Human Radiance Field from a Single Video
Includes: Samei, G.[Golnoosh] Samei, G.
Samejima, H.
* 2016: Characteristics Of The Remote Sensing Data Used In The Proposed Unfccc Redd+ Forest Reference Emission Levels (frels)
Samejima, M.[Masaki]
* 2016: Fast General Norm Approximation via Iteratively Reweighted Least Squares
* 2017: Deep Photometric Stereo Network
* 2017: Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections
* 2018: Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-Based Modeling
Samek, M.
* 1986: Texture Mapping and Distortion in Digital Graphics
Samek, O.[Ota]
* 2001: Images of Imperfectly Ordered Motifs: Properties, Analysis, and Reconstruction
* 2001: Material Identification Using Laser Spectroscopy and Pattern Recognition Algorithms
Samek, W.[Wojciech]
* 2011: Multi-task Learning via Non-sparse Multiple Kernel Learning
* 2013: Enhanced representation and multi-task learning for image annotation
* 2015: Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces
* 2015: Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data
* 2016: Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
* 2016: Controlling explanatory heatmap resolution and semantics via decomposition depth
* 2016: deep neural network for image quality assessment, A
* 2016: Identifying Individual Facial Expressions by Deconstructing a Neural Network
* 2016: Shearlet-based reduced reference image quality assessment
* 2017: Detection of Face Morphing Attacks by Deep Learning
* 2017: Estimating Position Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network
* 2017: Explaining Nonlinear Classification Decisions with Deep Taylor Decomposition
* 2017: Object Boundary Detection and Classification with Image-Level Labels
* 2017: perceptually relevant shearlet-based adaptation of the PSNR, A
* 2017: Understanding and Comparing Deep Neural Networks for Age and Gender Classification
* 2018: Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition
* 2018: Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
* 2018: Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction
* 2019: Achieving Generalizable Robustness of Deep Neural Networks by Stability Training
* 2019: DRAU: Dual Recurrent Attention Units for Visual Question Answering
* 2019: Multi-Kernel Prediction Networks for Denoising of Burst Images
* 2020: Deepcabac: Plug Play Compression of Neural Network Weights and Weight Updates
* 2020: Dependent Scalar Quantization For Neural Network Compression
* 2020: Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
* 2020: Learning Sparse Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
* 2021: Encoder Optimizations for the NNR Standard on Neural Network Compression
* 2021: Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
* 2021: Explanation-Guided Training for Cross-Domain Few-Shot Classification
* 2021: Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
* 2021: Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
* 2021: Unifying Review of Deep and Shallow Anomaly Detection, A
* 2022: Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning
* 2022: History Dependent Significance Coding for Incremental Neural Network Compression
* 2022: Overview of the Neural Network Compression and Representation (NNR) Standard
* 2022: Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective
* 2023: Optimizing Explanations by Network Canonization and Hyperparameter Search
* 2023: Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
* 2023: Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
* 2024: Explainable AI for time series via Virtual Inspection Layers
Includes: Samek, W.[Wojciech] Samek, W.
39 for Samek, W.
Sameki, M.[Mehrnoosh]
* 2015: How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms
* 2015: Minimum Barrier Salient Object Detection at 80 FPS
* 2015: Salient Object Subitizing
* 2016: ICORD: Intelligent Collection of Redundant Data: A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently
* 2016: Unconstrained Salient Object Detection via Proposal Subset Optimization
* 2017: Salient Object Subitizing
* 2018: Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
* 2021: Explainable Deep Classification Models for Domain Generalization
8 for Sameki, M.
Samela, C.[Caterina]
* 2022: Automatic Filtering and Classification of Low-Density Airborne Laser Scanner Clouds in Shrubland Environments
Samelak, J.
* 2015: 3D-HEVC extension for circular camera arrangements
* 2017: Efficient frame-compatible stereoscopic video coding using HEVC screen content coding
* 2018: Free-Viewpoint Television System for Horizontal Virtual Navigation, A
Samele, S.[Stefano]
* 2022: Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images
Samelsohn, G.[Gregory]
* 2016: Transmission tomography of forward-scattering structures
Sameni, S.[Sepehr]
* 2023: Efficient Video Prediction via Sparsely Conditioned Flow Matching
* 2023: Spatio-Temporal Crop Aggregation for Video Representation Learning
Samenko, I.[Igor]
* 2022: RDRN: Recursively Defined Residual Network for Image Super-resolution
Samet, A.[Amine]
* 2007: Toward An Optimal Block Motion Estimation Algorithm For H.264/avc
* 2016: Fast mode decision algorithm for H.264/SVC enhancement layer
* 2016: Performance analysis of 2-D DOA estimation using L-shaped array in scattered channel
* 2016: Real-Time Eye Gesture Recognition System Based on Fuzzy Inference System for Mobile Devices Monitoring, A
Includes: Samet, A.[Amine] Samet, A. Samet, A.[Anis]
Samet, H.[Hanan]
* 1980: Deletion in Two-Dimensional Quad Trees
* 1980: Quadtree Representation of Binary Images
* 1980: Region Representation: Boundary Codes from Quadtrees
* 1980: Region Representation: Quadtree from Binary Arrays
* 1980: Region Representation: Quadtrees from Boundary Codes
* 1981: Algorithm for Converting Rasters to Quadtrees, An
* 1981: Computing Perimeters of Images Represented by Quadtrees
* 1981: Connected Component Labeling Using Quadtrees
* 1981: Neighbor Finding in Quadtrees
* 1982: Distance Transform for Images Represented by Quadtrees
* 1982: Neighbor Finding Techniques for Images Represented by Quadtrees
* 1982: Shape Approximation Using Quadtrees
* 1983: Quadtree Medial Axis Transform, A
* 1983: Quadtree Region Representation in Cartography: Experimental Results
* 1983: Using Quadtrees to Represent Polygonal Maps
* 1984: Algorithms for the Conversion of Quadtrees to Rasters
* 1984: Geographic Information System Using Quadtrees, A
* 1984: On Encoding Boundaries with Quadtrees
* 1984: Processing Geographic Data with Quadtrees
* 1984: Quadtree and Related Hierarchical Data Structures, The
* 1984: Quadtree Medial Axis Transform, A
* 1985: Computing Geometric Properties of Images Represented by Linear Quadtrees
* 1985: Data Structures for Quadtree Approximation and Compression
* 1985: Model for the Analysis of Neighbor Finding in Pointer Based Quadtrees, A
* 1985: Reconstruction of Quadtrees from Quadtree Medial Axis Transforms
* 1985: Segment Quadtree: A Linear Quadtree-Based Representation for Linear Features, The
* 1985: Storing Collections of Polygons Using Quadtrees
* 1985: Top-Down Quadtree Traversal Algorithm, A
* 1986: Consistent Hierarchical Representation for Vector Data, A
* 1986: Improved Approach to Connected Component Labeling of Images, An
* 1986: Optimal Quadtree Construction Algorithm, An
* 1987: Optimal Quadtree Construction Algorithms
* 1987: Recent Developments in Linear Quadtree-Based Geographic Information Systems
* 1988: Accessibility: A New Approach to Path Planning Among Moving Obstacles
* 1988: Algorithm to Expand Regions Represented by Linear Quadtrees
* 1988: Efficient Component Labeling of Images of Arbitrary Dimension Represented by Linear Bintrees
* 1988: Hierarchical Representations of Collections of Small Rectangles
* 1989: Comparison of the Space Requirements of Multi-Dimensional Quadtree-Based File Structures, A
* 1989: Hierarchical Strategy for Path Planning Among Moving Obstacles, A
* 1989: Neighbor Finding in Images Represented by Octrees
* 1990: Applications of Spatial Data Structures
* 1990: Design and Analysis of Spatial Data Structures
* 1990: New Region Expansion for Quadtrees, A
* 1990: Probabilistic Analysis of Hierarchical Geometric Data Structures, A
* 1990: Set Operations for Unaligned Linear Quadtrees
* 1992: General Approach to Connected-Component Labeling for Arbitrary Image Representations, A
* 1992: General Approach to Connected-Component Labeling for Arbitrary Image Representations, A
* 1994: Integrating Images into a Relational Database System
* 1994: Legend-Driven Geographic Symbol Recognition System, A
* 1994: MAGELLAN: Map Acquisition of Geographic Labels by Legend Analysis
* 1996: Marco: Map Retrieval by Content
* 1996: Object-Based and Image-Based Representations of Objects by Their Interiors
* 1996: Pictorial Queries by Image Similarity
* 1997: Differential Code for Shape Representation in Image Database Applications, A
* 1997: Efficient Window Block Retrieval in Quadtree-Based Spatial Databases
* 1997: Pictorial Query Specification for Browsing Through Image Databases
* 1998: Distance Browsing in Spatial Databases
* 1998: MAGELLAN: Map Acquisition of Geographic Labels by Legend Analysis
* 1998: Navigating through Triangle Meshes Implemented as Linear Quadtrees
* 1998: Pictorial Query Trees for Query Specification in Image Databases
* 1998: Using Negative Shape Features for Logo Similarity Matching
* 1998: Using Spatial Sorting and Ranking in Model-Based Object Recognition
* 1999: Speeding Up Construction of Quadtrees for Spatial Indexing
* 2000: Contractive embedding Methods for Similarity Searching in Metric Spaces
* 2000: Incremental View Maintenance of Spatial Joins
* 2000: Processing Pictorial Queries with Multiple Instances Using Isomorphic Subgraphs
* 2001: Integration of Local and Global Shape Analysis for Logo Classification
* 2001: Object Representations
* 2002: Content-based image retrieval using Fourier descriptors on a logo database
* 2002: Evaluation of the Softposit Model-to-image Registration Algorithm
* 2002: Integration of Local and Global Shape Analysis for Logo Classification
* 2002: Octree approximation and compression methods
* 2002: SoftPOSIT: Simultaneous Pose and Correspondence Determination
* 2003: Depth-first K-nearest neighbor finding using the MaxNearestDist estimator
* 2003: Improved Search Heuristics for the SA-Tree
* 2003: Properties of embedding methods for similarity searching in metric spaces
* 2003: Simultaneous pose and correspondence determination using line features
* 2004: Object-based and image-based object representations
* 2004: SoftPOSIT: Simultaneous Pose and Correspondence Determination
* 2005: Editorial, Introduction to Rosenfeld Special Issue
* 2006: Building and Querying a P2P Virtual World
* 2008: K-Nearest Neighbor Finding Using MaxNearestDist
* 2008: Similarity searching: Indexing, nearest neighbor finding, dimensionality reduction, and embedding methods for applications in multimedia databases
* 2010: Images in News
* 2016: Streaming news image summarization
* 2019: Intelligent Systems for Geosciences: An Essential Research Agenda
* 2020: Enhancing local live tweet stream to detect news
* 2023: efficient region expansion algorithm for regular triangulated meshes, An
* 2023: In-Path Oracles for Road Networks
Includes: Samet, H.[Hanan] Samet, H.
89 for Samet, H.
Samet, N.[Nermin]
* 2012: Identification of Illustrators
* 2020: GANILLA: Generative adversarial networks for image to illustration translation
* 2020: Houghnet: Integrating Near and Long-range Evidence for Bottom-up Object Detection
* 2021: Adversarial Segmentation Loss for Sketch Colorization
* 2021: HPRNet: Hierarchical point regression for whole-body human pose estimation
* 2023: H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
* 2023: HoughNet: Integrating Near and Long-Range Evidence for Visual Detection
* 2023: Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation, A
* 2023: You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
9 for Samet, N.
Samet, R.[Refik]
* 2007: Optimization of Quadtree Triangulation for Terrain Models
* 2012: Fuzzy Rule-Based Image Segmentation technique for rock thin section images
* 2012: new approach to the reconstruction of contour lines extracted from topographic maps, A
* 2019: Video synopsis: A survey
Includes: Samet, R.[Refik] Samet, R.