Salt, D.[Douglas]
* 2019: Crossing the chasm: a tube-map for agent-based social simulation of policy scenarios in spatially-distributed systems
Saltali, K.
* 2017: Monitoring And Estimation of Soil Losses From Ephemeral Gully Erosion In Mediterranean Region Using Low Altitude Unmanned Aerial Vehicles
Saltarin, J.
* 2017: Adaptive Video Streaming With Network Coding Enabled Named Data Networking
* 2018: Content-Aware Delivery of Scalable Video in Network Coding Enabled Named Data Networks
Salte, I.M.[Ivar Mjaland]
* 2021: Myocardial Function Imaging in Echocardiography Using Deep Learning
Includes: Salte, I.M.[Ivar Mjaland] Salte, I.M.[Ivar Mjåland]
Salter, E.
* 2018: Bird Eyes: A Cloud-Based Object Detection System for Customisable Surveillance
Salter, I.
* 2020: Multiobjective Optimization Approach for COLREGs-Compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators, A
Salter, K.G.
* 1971: Context Algorithm for Pattern Recognition and Image Interpretation, A
Salter, M.
* 2019: Predicting Heart Rate Variations of Deepfake Videos using Neural ODE
* 2020: Detecting Deepfake Videos using Attribution-Based Confidence Metric
Salti, S.[Samuele]
* 2008: Real-time 3d arm pose estimation from monocular video for enhanced HCI
* 2009: On-line learning of the transition model for Recursive Bayesian Estimation
* 2009: SVR-Based Jitter Reduction for Markerless Augmented Reality
* 2010: Bayesian Loop for Synergistic Change Detection and Tracking
* 2010: On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
* 2010: Unique shape context for 3d data description
* 2010: Unique Signatures of Histograms for Local Surface Description
* 2011: Background subtraction by non-parametric probabilistic clustering
* 2011: combined texture-shape descriptor for enhanced 3D feature matching, A
* 2011: Performance Evaluation of 3D Keypoint Detectors, A
* 2012: Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation
* 2012: On the Affinity between 3D Detectors and Descriptors
* 2012: Toward Compressed 3D Descriptors
* 2013: GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description
* 2013: Keypoints from Symmetries by Wave Propagation
* 2013: On-line Support Vector Regression of the transition model for the Kalman filter
* 2013: Performance Evaluation of 3D Keypoint Detectors
* 2014: SHOT: Unique signatures of histograms for surface and texture description
* 2015: Fusion of Inertial and Visual Measurements for RGB-D SLAM on Mobile Devices
* 2015: Learning a Descriptor-Specific 3D Keypoint Detector
* 2015: Synergistic Change Detection and Tracking
* 2015: Traffic sign detection via interest region extraction
* 2016: Radial Search Method for Fast Nearest Neighbor Search on Range Images, A
* 2018: Learning to Detect Good 3D Keypoints
* 2019: Boosting Object Recognition in Point Clouds by Saliency Detection
* 2019: Learning Across Tasks and Domains
* 2019: Learning an Effective Equivariant 3D Descriptor Without Supervision
* 2019: Performance Evaluation of Learned 3D Features
* 2020: Distilled Semantics for Comprehensive Scene Understanding from Videos
* 2021: Neural Disparity Refinement for Arbitrary Resolution Stereo
* 2021: RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
* 2021: SketchyDepth: from Scene Sketches to RGB-D Images
* 2022: Learning the Space of Deep Models
* 2022: Open Challenges in Deep Stereo: the Booster Dataset
* 2022: Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation
* 2022: RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
* 2022: Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries
* 2022: Unsafe Maneuver Classification From Dashcam Video and GPS/IMU Sensors Using Spatio-Temporal Attention Selector
* 2022: Unsupervised Learning of Local Equivariant Descriptors for Point Clouds
* 2023: Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation
* 2023: Learning Good Features to Transfer Across Tasks and Domains
* 2023: Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images
* 2023: Looking at Words and Points with Attention: A Benchmark for Text-to-Shape Coherence
* 2023: NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces
* 2023: ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects
* 2023: Self-Distillation for Unsupervised 3D Domain Adaptation
* 2024: Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces
Includes: Salti, S.[Samuele] Salti, S.
47 for Salti, S.
Saltiel, D.[David]
* 2021: Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning
Saltiel, T.M.[Troy M.]
* 2022: Tradeoffs between UAS Spatial Resolution and Accuracy for Deep Learning Semantic Segmentation Applied to Wetland Vegetation Species Mapping
* 2023: Rapid Spaceborne Mapping of Wildfire Retardant Drops for Active Wildfire Management
Salton, G.[Gerald]
* 1988: Automatic text processing
* 1996: Length Normalization in Degraded Text Collections
Includes: Salton, G.[Gerald] Salton, G.[Gerard]
Saltori, C.[Cristiano]
* 2018: Group LSTM: Group Trajectory Prediction in Crowded Scenarios
* 2019: Regularized Evolutionary Algorithm for Dynamic Neural Topology Search
* 2020: Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
* 2020: SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
* 2021: Embedding group and obstacle information in LSTM networks for human trajectory prediction in crowded scenes
* 2022: CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
* 2022: CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
* 2022: GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
* 2022: Low-budget label query through domain alignment enforcement
* 2023: Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
* 2023: Novel Class Discovery for 3D Point Cloud Semantic Segmentation
* 2023: Overlap-guided Gaussian Mixture Models for Point Cloud Registration
* 2023: Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
Includes: Saltori, C.[Cristiano] Saltori, C.
13 for Saltori, C.
Saltos, E.[Emilia]
* 2022: Detailed Cartography of Cotopaxi's 1877 Primary Lahar Deposits Obtained by Drone-Imagery and Field Surveys in the Proximal Northern Drainage
Saltos, R.[Ramiro]
* 2023: Generalized black hole clustering algorithm
* 2023: Mitigating the effect of dataset shift in clustering
Saltus, C.[Christina]
* 2023: Multi-Temporal Trend Analysis of Coastal Vegetation Using Metrics Derived from Hyperspectral and LiDAR Data
Saltz, D.[David]
* 2021: Estimating the Suitability for the Reintroduced Arabian Oryx (Oryx leucoryx, Pallas 1777) of Two Desert Environments by NIRS-Aided Fecal Chemistry
Saltz, J.
* 1994: High performance computing for land cover dynamics
* 2006: New Deformable Model for Boundary Tracking in Cardiac MRI and Its Application to the Detection of Intra-Ventricular Dyssynchrony, A
* 2007: Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach
* 2007: Detection and Visualization of Surface-Pockets to Enable Phenotyping Studies
* 2009: Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation
* 2010: Two-point correlation as a feature for histology images: Feature space structure and correlation updating
* 2021: Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification, A
* 2021: Multi-Class Cell Detection Using Spatial Context Representation
* 2022: Learning Topological Interactions for Multi-Class Medical Image Segmentation
* 2023: Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
* 2024: PathLDM: Text conditioned Latent Diffusion Model for Histopathology
Includes: Saltz, J. Saltz, J.[Joel]
11 for Saltz, J.
Saltz, J.H.[Joel H.]
* 2008: Analysis and Semantic Querying in Large Biomedical Image Datasets
* 2009: Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development
* 2012: Digital Pathology: Data-Intensive Frontier in Medical Imaging
* 2016: Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification
* 2017: Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images
* 2019: Robust Histopathology Image Analysis: To Label or to Synthesize?
* 2019: Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
Includes: Saltz, J.H.[Joel H.] Saltz, J.H.
7 for Saltz, J.H.
Saltz, M.[Mary]
* 2022: Learning Topological Interactions for Multi-Class Medical Image Segmentation