Suter, B.W.
* 1994: systematic construction method for spatial-varying FIR filter banks with perfect reconstruction, A
* 1995: On vector Karhunen-Loeve transforms and optimal vector transforms
* 2011: Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise
* 2011: Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design
* 2013: Adaptive Inpainting Algorithm Based on DCT Induced Wavelet Regularization
Suter, D.
* 1991: Coupled Depth-Slope Model Based on Augmented Lagrangian Techniques
* 1992: Mixed Finite Element Based Neural Networks In Visual Reconstruction
* 1994: Motion Estimation and Vector Splines
* 1995: Restoration of historic film for digital compression: a case study
* 1996: Robust Optic Flow Estimation Using Least Median of Squares
* 1997: Optic Flow Calculation Using Robust Statistics
* 1998: Image Coordinate Transformation Based on DIV-CURL Vector Splines
* 1998: Robust Optic Flow Computation
* 1998: Robust Range Segmentation
* 1998: Visual Feature Tracking with Automatic Motion Model Switching
* 1998: Visual Tracking and Motion Determination Using the IMM Algorithm
* 2000: Left ventricular motion reconstruction based on elastic vector splines
* 2000: Visual Tracking of Multiple Objects with Automatic Motion Model Switching
* 2001: Empirical Evaluation on the Performance of Contour Trackers
* 2001: Performance Prediction Analysis of a Point Feature Tracker Based on Different Motion Models
* 2001: Visual Tracking with Automatic Motion Model Switching
* 2002: Application of rigid motion geometry to film restoration
* 2002: Performance Measures For Assessing Contour Trackers
* 2002: Robust model based motion segmentation
* 2003: Contour tracking with automatic motion model switching
* 2003: Using symmetry in robust model fitting
* 2003: Variable bandwidth QMDPE and its application in robust optical flow estimation
* 2004: Assessing the performance of corner detectors for point feature tracking applications
* 2004: MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation
* 2004: Recovering the Missing Components in a Large Noisy Low-Rank Matrix: Application to SFM
* 2004: Robust Adaptive-Scale Parametric Model Estimation for Computer Vision
* 2004: Robust Fitting by Adaptive-Scale Residual Consensus
* 2004: Shift-invariant wavelet denoising using interscale dependency
* 2004: Special issue on statistical methods in video processing
* 2005: Background initialization with a new robust statistical approach
* 2005: Object tracking in image sequences using point features
* 2005: Two-View Multibody Structure-and-Motion with Outliers
* 2006: 3D Object Pose Inference via Kernel Principal Component Analysis with Image Euclidian Distance (IMED)
* 2006: Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition, An
* 2006: Analyzing Human Movements from Silhouettes Using Manifold Learning
* 2006: Background Subtraction Based on a Robust Consensus Method
* 2006: Compact Architecture for Wireless Video Surveillance over CDMA Network, A
* 2006: Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues
* 2006: Feature Detection with an Improved Anisotropic Filter
* 2006: Finite Sample Bias of Robust Scale Estimators in Computer Vision Problems
* 2006: Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering
* 2006: Improving the Speed of Kernel PCA on Large Scale Datasets
* 2006: Incremental Kernel PCA for Efficient Non-linear Feature Extraction
* 2006: Incremental Kernel SVD for Face Recognition with Image Sets
* 2006: Informative Shape Representations for Human Action Recognition
* 2006: New Distance Criterion for Face Recognition Using Image Sets, A
* 2006: Novel Robust Statistical Method for Background Initialization and Visual Surveillance, A
* 2006: Parametric model-based motion segmentation using surface selection criterion
* 2006: Real-Time Human Pose Inference using Kernel Principal Component Pre-image Approximations
* 2006: Two-View Multibody Structure-and-Motion with Outliers through Model Selection
* 2007: Adaptive Object Tracking Based on an Effective Appearance Filter
* 2007: Bilinear Approach to the Parameter Estimation of a General Heteroscedastic Linear System, with Application to Conic Fitting, A
* 2007: Extrapolating Learned Manifolds for Human Activity Recognition
* 2007: Fast Sparse Gaussian Processes Learning for Man-Made Structure Classification
* 2007: Human Pose Extraction from Monocular Videos using Constrained Non-Rigid Factorization
* 2007: Incremental Kernel Principal Component Analysis
* 2007: Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition
* 2007: Man-Made Structure Segmentation using Gaussian Processes and Wavelet Features
* 2007: Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
* 2008: Confidence rated boosting algorithm for generic object detection
* 2008: Fast stereo with background removal using phase correlation
* 2008: Human motion recognition using Gaussian Processes classification
* 2008: Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection
* 2008: Improving Gaussian processes classification by spectral data reorganizing
* 2008: Manifold optimisation for motion factorisation
* 2008: Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences, A
* 2008: Multi-scale Conditional Random Fields for over-segmented irregular 3D point clouds classification
* 2008: Object detection by global contour shape
* 2008: Object Detection Using a Cascade of Classifiers
* 2008: Out-of-Sample Extrapolation of Learned Manifolds
* 2008: Visual learning and recognition of sequential data manifolds with applications to human movement analysis
* 2009: Error Analysis in Homography Estimation by First Order Approximation Tools: A General Technique
* 2009: Human action recognition by feature-reduced Gaussian process classification
* 2009: Keypoint induced distance profiles for visual recognition
* 2009: Rank Constraints for Homographies over Two Views: Revisiting the Rank Four Constraint
* 2009: Robust fitting of multiple structures: The statistical learning approach
* 2010: Accelerated Hypothesis Generation for Multi-structure Robust Fitting
* 2010: Efficient Multi-structure Robust Fitting with Incremental Top-k Lists Comparison
* 2010: Finite Sample Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study
* 2010: Multi-structure model selection via kernel optimisation
* 2011: Adversarial Optimization Approach to Efficient Outlier Removal, An
* 2011: Boosting histograms of descriptor distances for scalable multiclass specific scene recognition
* 2011: Dynamic and hierarchical multi-structure geometric model fitting
* 2011: global optimization approach to robust multi-model fitting, A
* 2012: Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis
* 2012: Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization
* 2012: In Defence of RANSAC for Outlier Rejection in Deformable Registration
* 2012: Random Cluster Model for Robust Geometric Fitting, The
* 2012: Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
* 2012: Superpixel-driven level set tracking
* 2012: Visual tracking of numerous targets via multi-Bernoulli filtering of image data
* 2013: As-Projective-As-Possible Image Stitching with Moving DLT
* 2013: General Two-Step Approach to Learning-Based Hashing, A
* 2013: Mode seeking over permutations for rapid geometric model fitting
* 2013: Point Correspondence Validation under Unknown Radial Distortion
* 2013: Robust Data Modelling Using Thin Plate Splines
* 2013: simultaneous sample-and-filter strategy for robust multi-structure model fitting, A
* 2014: Adversarial Optimization Approach to Efficient Outlier Removal, An
* 2014: As-Projective-As-Possible Image Stitching with Moving DLT
* 2014: C Clustering with Hypergraphs: The Case for Large Hyperedges
* 2014: Fast Rotation Search with Stereographic Projections for 3D Registration
* 2014: Fast Supervised Hashing with Decision Trees for High-Dimensional Data
* 2014: Interacting Geometric Priors For Robust Multimodel Fitting
* 2014: Multi-subregion based correlation filter bank for robust face recognition
* 2014: Random Cluster Model for Robust Geometric Fitting, The
* 2014: Sampling Minimal Subsets with Large Spans for Robust Estimation
* 2015: Efficient Globally Optimal Consensus Maximisation with Tree Search
* 2015: Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
* 2016: Conformal Surface Alignment with Optimal Mobius Search
* 2016: Fast Rotation Search with Stereographic Projections for 3D Registration
* 2016: Hypergraph modelling for geometric model fitting
* 2016: Robust Model Fitting Using Higher Than Minimal Subset Sampling
* 2016: Superpixel-Based Two-View Deterministic Fitting for Multiple-Structure Data
* 2017: Clustering with Hypergraphs: The Case for Large Hyperedges
* 2017: Efficient Globally Optimal Consensus Maximisation with Tree Search
* 2017: Efficient guided hypothesis generation for multi-structure epipolar geometry estimation
* 2017: Exact Penalty Method for Locally Convergent Maximum Consensus, An
* 2017: Quasiconvex Plane Sweep for Triangulation with Outliers
* 2017: RATSAC - Random Tree Sampling for Maximum Consensus Estimation
* 2017: Region of Interest Autoencoders with an Application to Pedestrian Detection
* 2018: Deterministic Consensus Maximization with Biconvex Programming
* 2019: Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
* 2019: Superpixel-Guided Two-View Deterministic Geometric Model Fitting
* 2020: Learning Affordance Segmentation: An Investigative Study
* 2020: Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference
* 2020: Quantum Robust Fitting
* 2021: Consensus Maximisation Using Influences of Monotone Boolean Functions
* 2021: Deterministic Approximate Methods for Maximum Consensus Robust Fitting
* 2021: GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images
* 2021: Segmentation by Continuous Latent Semantic Analysis for Multi-Structure Model Fitting
* 2021: Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach
* 2022: Hybrid Quantum-Classical Algorithm for Robust Fitting, A
* 2022: ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
* 2022: Maximum Consensus by Weighted Influences of Monotone Boolean Functions
* 2022: Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications
* 2023: Generalized framework for image and video object segmentation using affinity learning and message passing GNNS
* 2023: Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks, An
* 2023: Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach
* 2024: Estimating Blood Alcohol Level Through Facial Features for Driver Impairment Assessment
* 2024: Single Domain Generalization via Normalised Cross-correlation Based Convolutions
Includes: Suter, D. Suter, D.[David]
140 for Suter, D.
Suter, G.[Georg]
* 2018: VR-based user study on the effects of vision impairments on recognition distances of escape-route signs in buildings, A
Suter, M.
* 1994: Perspective Terrain Visualization: A Fusion of Remote Sensing, GIS, and Computer Graphics
Suter, M.J.
* 2009: Real-Time FPGA Processing for High-Speed Optical Frequency Domain Imaging
Suter, R.[Robert]
* 2014: Image processing in experiments on, and simulations of plastic deformation of polycrystals
Suter, S.K.[Susanne K.]
* 2014: Visual Analysis of 3D Data by Isovalue Clustering
Suters, M.
* 1996: Handwritten Digit Recognition Using Combined ID3-Derived Fuzzy Rules and Markov-Chains