Socha, B.[Bartek]
* 2015: Selection of a Consensus Area Size for Multithreaded Wavefront-Based Alignment Procedure for Compressed Sequences of Protein Secondary Structures
Socha, J.[Jaroslaw]
* 2019: Modeling the Effect of Environmental and Topographic Variables Affecting the Height Increment of Norway Spruce Stands in Mountainous Conditions with the Use of LiDAR Data
* 2020: Continuous Detection of Small-Scale Changes in Scots Pine Dominated Stands Using Dense Sentinel-2 Time Series
* 2020: Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods, The
Socha, M.
* 2006: Fast Estimation of Broncho-Fiberoscope Egomotion for Ct-Guided Transbronchial Biopsy
* 2020: Central threat register- a complex system for risk analysis and decision support in railway transport
Includes: Socha, M. Socha, M.[Michal]
Sochacki, S.J.[Stanley J.]
* 2017: Seasonal Timing for Estimating Carbon Mitigation in Revegetation of Abandoned Agricultural Land with High Spatial Resolution Remote Sensing
Sochan, A.[Arkadiusz]
* 2011: Choosing and Modeling the Hand Gesture Database for a Natural User Interface
Socheleau, F.X.
* 2013: On Symmetric Alpha-Stable Noise After Short-Time Fourier Transformation
* 2014: Testing the Energy of Random Signals in a Known Subspace: An Optimal Invariant Approach
* 2016: Matched-Field Performance Prediction with Model Mismatch
* 2020: Multifamily GLRT for CFAR Detection of Signals in a Union of Subspaces, A
Includes: Socheleau, F.X. Socheleau, F.X.[Francois-Xavier]
Sochen, N.[Nir]
* 2014: Progress in the restoration of image sequences degraded by atmospheric turbulence
* 2018: Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain MRI
* 2021: Strong Solutions for PDE-Based Tomography by Unsupervised Learning
* 2024: PETIT-GAN: Physically Enhanced Thermal Image-Translating Generative Adversarial Network
Includes: Sochen, N.[Nir] Sochen, N.
Sochen, N.A.
* 1997: From High Energy Physics to Low Level Vision
* 1997: Images as Embedding Maps and Minimal Surfaces: A Unified Approach for Image Diffusion
* 1997: Images as Embedding Maps and Minimal Surfaces: Movies, Color, and Volumetric Medical Images
* 1998: General Framework for Low-Level Vision, A
* 1998: Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space
* 1999: Geometric Functional for Gradient Approximation, A
* 1999: Geometric-Variational Approach for Color Image Enhancement and Segmentation
* 2000: Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images
* 2001: Combing porcupine via stereographic direction diffusion
* 2001: Complex diffusion processes for image filtering
* 2001: Diffusions and Confusions in Signal and Image Processing
* 2001: Gabor Feature Space Diffusion via the Minimal Weighted Area Method
* 2001: Geodesic active contours applied to texture feature space
* 2001: Geometry motivated variational segmentation for color images
* 2001: Image Enhancement Segmentation and Denoising by Time Dependent Nonlinear Diffusion Processes
* 2001: On affine Invariance in the Beltrami Framework for Vision
* 2001: Stochastic Processes in Vision: From Langevin to Beltrami
* 2001: Using Beltrami Framework for Orientation Diffusion in Image Processing
* 2002: Forward-and-backward diffusion processes for adaptive image enhancement and denoising
* 2002: Orientation Diffusion or How to Comb a Porcupine
* 2002: Regularized Shock Filters and Complex Diffusion
* 2002: Texture segmentation via a diffusion-segmentation scheme in the Gabor feature space
* 2003: Beltrami flow over implicit manifolds, The
* 2003: Complete System of Measurement Invariants for Abelian Lie Transformation Groups, A
* 2003: Efficient Beltrami Flow Using a Short Time Kernel
* 2003: Maximum Principle for Beltrami Color Flow, The
* 2003: new perspective [on] shape-from-shading, A
* 2003: PDE-based denoising of complex scenes using a spatially-varying fidelity term
* 2003: Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling
* 2003: Variational Beltrami flows over manifolds
* 2003: Variational Restoration and Edge Detection for Color Images
* 2004: Affine Invariant Flows in the Beltrami Framework
* 2004: Image Enhancement and Denoising by Complex Diffusion Processes
* 2004: Image Sharpening by Flows Based on Triple Well Potentials
* 2004: Non-isotropic regularization of the correspondence space in stereo-vision
* 2004: Perspective shape-from-shading by fast marching
* 2004: Reconstruction of Medical Images by Perspective Shape-from-Shading
* 2004: Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-Like Functional
* 2004: Variational Pairing of Image Segmentation and Blind Restoration
* 2005: Estimation of the Optimal Variational Parameter via SNR Analysis
* 2005: Image Deblurring in the Presence of Salt-and-Pepper Noise
* 2005: Prior-Based Segmentation by Projective Registration and Level Sets
* 2005: Scale-Space Generation via Uncertainty Principles
* 2005: Shape-from-Shading Under Perspective Projection
* 2005: Variational blind deconvolution of multi-channel images
* 2006: Estimation of Optimal PDE-Based Denoising in the SNR Sense
* 2006: General Framework and New Alignment Criterion for Dense Optical Flow, A
* 2006: Image Deblurring in the Presence of Impulsive Noise
* 2006: Integrated Active Contours for Texture Segmentation
* 2006: Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation, A
* 2006: Mutual Segmentation with Level Sets
* 2006: Segmentation by Level Sets and Symmetry
* 2006: Semi-Blind Image Restoration Via Mumford-Shah Regularization
* 2006: Special issue for the 5th International Conference on Scale-Space and PDE Methods in Computer Vision
* 2006: Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties, The
* 2006: Variational Denoising of Partly Textured Images by Spatially Varying Constraints
* 2007: Anisotropic alpha-Kernels and Associated Flows
* 2007: Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging
* 2007: Coordinate-Free Diffusion over Compact Lie-Groups
* 2007: Deblurring of Color Images Corrupted by Impulsive Noise
* 2007: Fast Invariant Riemannian DT-MRI Regularization
* 2007: Full Affine Wavelets Are Scale-Space with a Twist
* 2007: On the Discrete Maximum Principle for the Beltrami Color Flow
* 2007: Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
* 2007: Restoration of Images with Piecewise Space-Variant Blur
* 2007: Short- Time Beltrami Kernel for Smoothing Images and Manifolds, A
* 2007: Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling
* 2008: Efficient anisotropic alpha-Kernels decompositions and flows
* 2008: Geometric Approach for Regularization of the Data Term in Stereo-Vision, A
* 2008: Non-Abelian invariant feature detection
* 2008: Shape-Based Mutual Segmentation
* 2009: Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise
* 2009: Fast GL(n)-Invariant Framework for Tensors Regularization
* 2009: Geometric Framework and a New Criterion in Optical Flow Modeling, A
* 2009: Guest Editorial, Special Issue Introduction
* 2009: On Symmetry, Perspectivity, and Level-Set-Based Segmentation
* 2009: Regularizing Flows over Lie Groups
* 2010: Anisotropic alpha-Kernels and Associated Flows
* 2010: Stereo Matching with Mumford-Shah Regularization and Occlusion Handling
* 2011: Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
* 2011: Beltrami-Mumford-Shah Functional, The
* 2011: Deblurring Space-Variant Blur by Adding Noisy Image
* 2011: Equi-Affine Invariant Geometries of Articulated Objects
* 2011: From High Definition Image to Low Space Optimization
* 2011: Polyakov Action on (rho,G)-Equivariant Functions Application to Color Image Regularization
* 2013: Learning Big (Image) Data via Coresets for Dictionaries
* 2014: Blurred and noisy image pairs in parallel optics
* 2014: Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing, A
* 2014: Equi-affine Invariant Geometry for Shape Analysis
* 2014: Image formation of thick three-dimensional objects in differential-interference-contrast microscopy
* 2017: Blind Space-Variant Single-Image Restoration of Defocus Blur
Includes: Sochen, N.A. Sochen, N.A.[Nir A.]
91 for Sochen, N.A.
Socher, G.
* 1994: Motion Boundary Detection in Image Sequences by Local Stochastic Tests
* 1995: 3-D Reconstruction and Camera Calibration from Images with known Objects
* 1996: Talking About 3D Scenes: Integration of Image and Speech Understanding in a Hybrid Distributed System
* 1999: Multilevel Integration of Vision and Speech Understanding Using Bayesian Networks
* 2000: Bayesian reasoning on qualitative descriptions from images and speech
* 2000: Integration of Vision and Speech Understanding Using Bayesian Networks
Includes: Socher, G. Socher, G.[Gudrun]
Socher, R.[Richard]
* 2009: ImageNet: A large-scale hierarchical image database
* 2009: Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
* 2010: Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora
* 2017: Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
* 2018: End-to-End Dense Video Captioning with Masked Transformer
* 2019: AdaFrame: Adaptive Frame Selection for Fast Video Recognition
* 2019: StartNet: Online Detection of Action Start in Untrimmed Videos
* 2020: Learning From Noisy Anchors for One-Stage Object Detection
* 2021: WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
Includes: Socher, R.[Richard] Socher, R.
9 for Socher, R.
Sochman, J.
* 2004: Adaboost with totally corrective updates for fast face detection
* 2004: Inter-stage feature propagation in cascade building with adaboost
* 2005: WaldBoost: Learning for Time Constrained Sequential Detection
* 2007: Learning a Fast Emulator of a Binary Decision Process
* 2008: Training sequential on-line boosting classifier for visual tracking
* 2009: Learning Fast Emulators of Binary Decision Processes
* 2011: Who knows who: Inverting the Social Force Model for finding groups
* 2013: Robust abandoned object detection integrating wide area visual surveillance and social context
* 2018: Continual Occlusion and Optical Flow Estimation
* 2023: Calibrated Out-of-Distribution Detection with a Generic Representation
Includes: Sochman, J. Šochman, J.[Jan] Sochman, J.[Jan]
10 for Sochman, J.
Sochor, J.[Jakub]
* 2014: Automatic Camera Calibration for Traffic Understanding
* 2015: Fully Automatic Roadside Camera Calibration for Traffic Surveillance
* 2015: Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance
* 2016: BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition
* 2017: Generating various composite human faces from real 3D facial images
* 2017: Holistic recognition of low quality license plates by CNN using track annotated data
* 2017: Traffic surveillance camera calibration by 3D model bounding box alignment for accurate vehicle speed measurement
* 2018: Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design
* 2018: Graph@FIT Submission to the NVIDIA AI City Challenge 2018
* 2019: BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance
* 2019: Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement
* 2020: Learning feature aggregation in temporal domain for re-identification
Includes: Sochor, J.[Jakub] Sochor, J.[Jirí] Sochor, J.
12 for Sochor, J.
Sochor, L.[Lukas]
* 2021: Increased Ice Thinning over Svalbard Measured by ICESat/ICESat-2 Laser Altimetry
Sochting, M.[Maximilian]
* 2021: Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes, A
Includes: Sochting, M.[Maximilian] Söchting, M.[Maximilian] (Maybe also Soechting, M.)