Salz, J.
* 1985: Algorithms for Estimation of Three-Dimensional Motion
Salzano, R.[Roberto]
* 2020: Dark Glacier Surface of Greenland's Largest Floating Tongue Governed by High Local Deposition of Dust
* 2021: SIOS's Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19
* 2022: Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0), The
* 2023: NDVI Analysis for Monitoring Land-Cover Evolution on Selected Deglaciated Areas in the Gran Paradiso Group (Italian Western Alps)
* 2023: Status of Earth Observation and Remote Sensing Applications in Svalbard
Salzberg, P.M.
* 1998: Network Flow Model for Binary Tomography on Lattices
Salzberg, S.
* 1995: Best-Case Results for Nearest-Neighbor Learning
Salzbrunn, R.
* 1990: Knowledge-Based Vision System for Industrial Applications, A
Salzenstein, F.
* 1997: Parameter-Estimation in Hidden Fuzzy Markov Random-Fields and Image Segmentation
* 2004: Champs de Markov Flous pour Imagerie Multispectrale-Fuzzy Markov Random Fields for Multispectral Images
* 2004: Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions
* 2005: Teager-Kaiser Energy and Higher-Order Operators in White-Light Interference Microscopy for Surface Shape Measurement
* 2006: Fuzzy Markov Random Fields versus Chains for Multispectral Image Segmentation
* 2007: Generalized higher-order nonlinear energy operators
* 2007: Non-stationary fuzzy Markov chain
* 2011: joint 2D AM-FM estimation based on higher order Teager-Kaiser energy operators, A
* 2015: Spatio-spectral Gaussian random field modeling approach for target detection on hyperspectral data obtained in very low SNR
Includes: Salzenstein, F. Salzenstein, F.[Fabien]
9 for Salzenstein, F.
Salzer, J.[Jacqueline]
* 2021: Internet-of-Things-Based Geotechnical Monitoring Boosted by Satellite InSAR Data
Salzer, Y.
* 2015: Evaluation of an On-Thigh Vibrotactile Collision Avoidance Alerting Component in a Simulated Flight Mission
Salzillo, G.[Giuseppe]
* 2019: ASI Integrated Sounder-SAR System Operating in the UHF-VHF Bands: First Results of the 2018 Helicopter-Borne Morocco Desert Campaign, The
Salzle, M.
* 2015: Patient-Specific Biomechanical Model for the Prediction of Lung Motion From 4-D CT Images
Salzman, D.B.[David B.]
* 1990: Method of General Moments for Orienting 2D Projections of Unknown 3D Objects, A
Salzman, O.[Oren]
* 2019: Sampling-Based Robot Motion Planning
* 2020: Effective footstep planning using homotopy-class guidance
Salzmann, M.[Mathieu]
* 2005: Implicit Surfaces Make for Better Silhouettes
* 2005: Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking
* 2007: Convex Optimization for Deformable Surface 3-D Tracking
* 2007: Deformable Surface Tracking Ambiguities
* 2007: Implicit Meshes for Effective Silhouette Handling
* 2007: Surface Deformation Models for Nonrigid 3D Shape Recovery
* 2008: 3D pose refinement from reflections
* 2008: Closed-Form Solution to Non-rigid 3D Surface Registration
* 2008: Local deformation models for monocular 3D shape recovery
* 2009: Capturing 3D stretchable surfaces from single images in closed form
* 2009: Observable subspaces for 3D human motion recovery
* 2009: Reconstructing sharply folding surfaces: A convex formulation
* 2009: Template-free Monocular Reconstruction of Deformable Surfaces
* 2010: Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction
* 2010: Learning to Recognize Objects from Unseen Modalities
* 2011: Learning cross-modality similarity for multinomial data
* 2011: Linear Local Models for Monocular Reconstruction of Deformable Surfaces
* 2011: Physically-based motion models for 3D tracking: A convex formulation
* 2012: Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction
* 2012: constrained latent variable model, A
* 2012: Monocular 3D Reconstruction of Locally Textured Surfaces
* 2013: Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition
* 2013: Continuous Inference in Graphical Models with Polynomial Energies
* 2013: Framework for Shape Analysis via Hilbert Space Embedding, A
* 2013: Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
* 2013: Mirror Surface Reconstruction from a Single Image
* 2013: Real-time keystone correction for hand-held projectors with an RGBD camera
* 2013: Unsupervised Domain Adaptation by Domain Invariant Projection
* 2014: Bregman Divergences for Infinite Dimensional Covariance Matrices
* 2014: Data-driven road detection
* 2014: Discrete-Continuous Depth Estimation from a Single Image
* 2014: Discriminative Non-Linear Stationary Subspace Analysis for Video Classification
* 2014: Domain Adaptation on the Statistical Manifold
* 2014: Efficient dense subspace clustering
* 2014: Expanding the Family of Grassmannian Kernels: An Embedding Perspective
* 2014: From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices
* 2014: Large-scale semantic co-labeling of image sets
* 2014: Non-associative Higher-Order Markov Networks for Point Cloud Classification
* 2014: Nonrigid Surface Registration and Completion from RGBD Images
* 2014: Null space clustering with applications to motion segmentation and face clustering
* 2014: Object Co-detection via Efficient Inference in a Fully-Connected CRF
* 2014: Optimizing over Radial Kernels on Compact Manifolds
* 2014: Robust Motion Segmentation with Unknown Correspondences
* 2015: Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
* 2015: Cutting Edge: Soft Correspondences in Multimodal Scene Parsing
* 2015: Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models
* 2015: Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development
* 2015: Indoor scene structure analysis for single image depth estimation
* 2015: Iteratively reweighted graph cut for multi-label MRFs with non-convex priors
* 2015: Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
* 2015: Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development, A
* 2015: Mirror Surface Reconstruction from a Single Image
* 2015: Multi-modal Graphical Model for Scene Analysis, A
* 2015: Riemannian coding and dictionary learning: Kernels to the rescue
* 2015: Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data
* 2015: Structural Kernel Learning for Large Scale Multiclass Object Co-detection
* 2016: Building Scene Models by Completing and Hallucinating Depth and Semantics
* 2016: Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
* 2016: Deep Convolutional Neural Networks for Human Embryonic Cell Counting
* 2016: Efficient transductive semantic segmentation
* 2016: Exploiting Large Image Sets for Road Scene Parsing
* 2016: Learning to Co-Generate Object Proposals with a Deep Structured Network
* 2016: Memory Efficient Max Flow for Multi-Label Submodular MRFs
* 2016: Robust Multi-Body Feature Tracker: A Segmentation-Free Approach
* 2016: Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
* 2016: Semantic labeling for prosthetic vision
* 2016: Structured Prediction of 3D Human Pose with Deep Neural Networks
* 2016: Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces
* 2016: When VLAD Met Hilbert
* 2017: Boundary-Aware Instance Segmentation
* 2017: Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation
* 2017: Efficient Linear Programming for Dense CRFs
* 2017: Encouraging LSTMs to Anticipate Actions Very Early
* 2017: Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
* 2017: Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
* 2018: Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
* 2018: Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
* 2018: Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses
* 2018: Geometry-Aware Deep Network for Single-Image Novel View Synthesis
* 2018: Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation
* 2018: Learning Latent Representations of 3D Human Pose with Deep Neural Networks
* 2018: Learning Monocular 3D Human Pose Estimation from Multi-view Images
* 2018: Learning to Find Good Correspondences
* 2018: Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View
* 2018: Residual Parameter Transfer for Deep Domain Adaptation
* 2018: Statistically-Motivated Second-Order Pooling
* 2018: Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
* 2018: VIENA2: A Driving Anticipation Dataset
* 2019: Beyond Sharing Weights for Deep Domain Adaptation
* 2019: Context-Aware Crowd Counting
* 2019: Detecting the Unexpected via Image Resynthesis
* 2019: Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials
* 2019: GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
* 2019: Learning Trajectory Dependencies for Human Motion Prediction
* 2019: Memory Efficient Max Flow for Multi-Label Submodular MRFs
* 2019: Neural Scene Decomposition for Multi-Person Motion Capture
* 2019: Recurrent U-Net for Resource-Constrained Segmentation
* 2019: Segmentation-Driven 6D Object Pose Estimation
* 2020: ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture
* 2020: Better Patch Stitching for Parametric Surface Reconstruction
* 2020: DUNIT: Detection-Based Unsupervised Image-to-Image Translation
* 2020: Estimating People Flows to Better Count Them in Crowded Scenes
* 2020: History Repeats Itself: Human Motion Prediction via Motion Attention
* 2020: Indirect Local Attacks for Context-aware Semantic Segmentation Networks
* 2020: Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings
* 2020: Motion Prediction Using Temporal Inception Module
* 2020: Shape Reconstruction by Learning Differentiable Surface Representations
* 2020: Single-Stage 6D Object Pose Estimation
* 2020: Stochastic Conditioning Scheme for Diverse Human Motion Prediction, A
* 2020: Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features
* 2020: Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images
* 2020: Volumetric Transformer Networks
* 2021: Contextually Plausible and Diverse 3D Human Motion Prediction
* 2021: Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
* 2021: Generating Smooth Pose Sequences for Diverse Human Motion Prediction
* 2021: Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification
* 2021: Human Detection and Segmentation via Multi-view Consensus
* 2021: Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
* 2021: Multi-level Motion Attention for Human Motion Prediction
* 2021: PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers
* 2021: Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
* 2021: Progressive Correspondence Pruning by Consensus Learning
* 2021: Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
* 2021: Wide-Depth-Range 6D Object Pose Estimation in Space
* 2022: 3d Pose Based Feedback for Physical Exercises
* 2022: Adversarial Parametric Pose Prior
* 2022: Analysis of Super-Net Heuristics in Weight-Sharing NAS, An
* 2022: Contrastive Class-aware Adaptation for Domain Generalization
* 2022: Counting People by Estimating People Flows
* 2022: Estimating Image Depth in the Comics Domain
* 2022: Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects
* 2022: GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss
* 2022: Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift
* 2022: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World
* 2022: Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
* 2022: MuIT: An End-to-End Multitask Learning Transformer
* 2022: Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
* 2022: Robust Differentiable SVD
* 2022: Self-Supervised Human Detection and Segmentation via Background Inpainting
* 2022: Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
* 2022: Universal, Transferable Adversarial Perturbations for Visual Object Trackers
* 2022: Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
* 2023: AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration
* 2023: Center-aware Adversarial Augmentation for Single Domain Generalization
* 2023: Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation
* 2023: CLIP the Gap: A Single Domain Generalization Approach for Object Detection
* 2023: Dense Multitask Learning to Reconfigure Comics
* 2023: DrapeNet: Garment Generation and Self-Supervised Draping
* 2023: Fast Adversarial Training With Adaptive Step Size
* 2023: Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
* 2023: Learning Transformations to Reduce the Geometric Shift in Object Detection
* 2023: Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
* 2023: MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency
* 2023: Rigidity-Aware Detection for 6D Object Pose Estimation
* 2023: Robust Outlier Rejection for 3D Registration with Variational Bayes
* 2023: Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
* 2023: Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation
* 2023: TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
* 2023: Vision Transformer Adapters for Generalizable Multitask Learning
* 2024: Detecting Road Obstacles by Erasing Them
Includes: Salzmann, M.[Mathieu] Salzmann, M.
160 for Salzmann, M.
Salzmann, T.[Tim]
* 2020: Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data
* 2022: Motron: Multimodal Probabilistic Human Motion Forecasting
Salzo, A.
* 1997: Zoning design for handwritten numeral recognition
* 1999: Image basic features indexing techniques for video skimming
* 1999: Knowledge-based methods for classifier combination: An experimental investigation
* 1999: new database of confusing characters for testing character recognition algorithms, A
* 2002: Discovering Rules for Dynamic Configuration of Multi-classifier Systems
* 2002: Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis
* 2003: Bank-check processing system: modifications due to the new European currency
* 2003: On the combination of abstract-level classifiers
8 for Salzo, A.
Salzo, S.[Saverio]
* 2021: Unveiling Groups of Related Tasks in Multi-Task Learning