Sziranyi, T.[Tamas]
* 1988: Statistical Pattern Recognition of Low Resolution Pictures
* 1992: Statistical subpixel pattern recognition by histograms
* 1993: Noise effects in statistical subpixel pattern recognition
* 1994: Subpixel Pattern-Recognition by Image Histograms
* 1994: Texture classification by cellular neural network and genetic learning
* 1996: Picture Segmentation with Introducing an Anisotropic Preliminary Step to an MRF Model with Cellular Neural Networks
* 1997: Multigrid MRF based picture segmentation with cellular neural networks
* 1997: Texture Recognition Using a Superfast Cellular Neural Network VLSI Chip in a Real Experimental Environment
* 1998: Anisotropic Diffusion as a Preprocessing Step for Efficient Image Compression
* 1998: Texture Classification and Segmentation by Cellular Neural Networks Using Genetic Learning
* 1999: Non-linear scale-selection for image compression improvement obtained by perceptual distortion criteria
* 1999: Sub-pattern texture recognition using intelligent focal-plane imaging sensor of small window-size
* 2000: Application of Panoramic Annular Lens for Motion Analysis Tasks: Surveillance and Smoke Detection
* 2000: Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures
* 2000: Random Paintbrush Transformation
* 2000: Spatio-temporal Segmentation with Edge Relaxation and Optimization Using Fully Parallel Methods
* 2001: Motion Segmentation and Tracking with Edge Relaxation and Optimization using Fully Parallel Methods in the Cellular Nonlinear Network Architecture
* 2001: Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods
* 2002: Content-based image retrieval using stochastic paintbrush transformation
* 2002: Creating animations combining stochastic paintbrush transformation and motion detection
* 2002: Supervised training based hand gesture recognition system
* 2003: Adaptive Stabilization of Vibration on Archive Films
* 2003: Comparing Objective and Subjective Quality Results for Compression Pre-processing with Non-linear Diffusion
* 2004: Dynamic training of hand gesture recognition system
* 2004: Efficient coding of stroke-rendered paintings
* 2004: Estimation of Common Groundplane Based on Co-motion Statistics
* 2004: Hand Gesture Recognition in Camera-Projector System*
* 2004: Image matching based on co-motion statistics
* 2005: Eigenwalks: Walk Detection and Biometrics from Symmetry Patterns
* 2005: Motion-based flexible camera registration
* 2005: Optimizing of Searching Co-Motion Point-Pairs for Statistical Camera Calibration
* 2005: User-adaptive hand gesture recognition system with interactive training
* 2006: Bayesian Estimation of Common Areas in Multi-Camera Systems
* 2006: Extraction of Horizontal Vanishing Line Using Shapes and Statistical Error Propagation
* 2006: Higher order symmetry for non-linear classification of human walk detection
* 2006: Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
* 2006: Use of Motion Statistics for Vanishing Point Estimation in Camera-Mirror Scenes
* 2007: Detection of Gait Characteristics for Scene Registration in Video Surveillance System
* 2007: Flexible test-bed for unusual behavior detection
* 2007: Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest
* 2007: Geometrical Scene Analysis Using Co-motion Statistics
* 2007: Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs, A
* 2007: Stochastic View Registration of Overlapping Cameras Based on Arbitrary Motion
* 2007: Study on color space selection for detecting cast shadows in video surveillance
* 2007: Video camera registration using accumulated co-motion maps
* 2008: Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos
* 2008: Mixed Markov model for change detection in aerial photos with large time differences, A
* 2009: Change Detection in Optical Aerial Images by a Multilayer Conditional Mixed Markov Model
* 2009: Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model
* 2009: Digital Video Event Detector Framework for Surveillance Applications
* 2009: Folk Song Retrieval System with a Gesture-Based Interface, A
* 2009: Local contour descriptors around scale-invariant keypoints
* 2009: Use of Vanishing Point for the Classification of Reflections From Foreground Mask in Videos, The
* 2009: VISRET: A Content Based Annotation, Retrieval and Visualization Toolchain
* 2010: Graph-based Analysis of Textured Images for Hierarchical Segmentation
* 2010: High Definition Feature Map for GVF Snake by Using Harris Function
* 2010: New Saliency Point Detection and Evaluation Methods for Finding Structural Differences in Remote Sensing Images of Long Time-Span Samples
* 2010: Orthogonality Based Stopping Condition for Iterative Image Deconvolution Methods
* 2010: Trainable blotch detection on high resolution archive films minimizing the human interaction
* 2011: Improved force field for vector field convolution method
* 2011: Multi-view people surveillance using 3D information
* 2011: Reconstructing static scene viewed through smoke using video
* 2012: Adaptive Image Decomposition into Cartoon and Texture Parts Optimized by the Orthogonality Criterion
* 2012: Automatic detection of structural changes in single channel long time-span brain MRI images using saliency map and active contour methods
* 2012: Harris function based active contour external force for image segmentation
* 2012: Orientation Based Building Outline Extraction In Aerial Images
* 2013: Dense subgraph mining with a mixed graph model
* 2013: Localizing people in multi-view environment using height map reconstruction in real-time
* 2013: Multidirectional Building Detection in Aerial Images without Shape Templates
* 2014: Calibrationless Sensor Fusion Using Linear Optimization for Depth Matching
* 2015: Multi-View Pedestrian Tracking Method in an Uncalibrated Camera Network, A
* 2015: Multilayer Markov Random Field models for change detection in optical remote sensing images
* 2015: Orientation-selective building detection in aerial images
* 2016: Fully automatic image colorization based on Convolutional Neural Network
* 2017: Twin Deep Convolutional Neural Network for Example-Based Image Colorization
* 2018: Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor
* 2019: No-reference video quality assessment via pretrained CNN and LSTM networks
* 2020: KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
* 2020: Localization of Map Changes by Exploiting SLAM Residuals
* 2020: MASAT: A fast and robust algorithm for pose-graph initialization
* 2022: Immediate Vehicle Movement Estimation and 3D Reconstruction for Mono Cameras by Utilizing Epipolar Geometry and Direction Prior
* 2022: Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness
* 2022: Temporal Up-Sampling of LIDAR Measurements Based on a Mono Camera
* 2023: Optical Flow and Expansion Based Deep Temporal Up-Sampling of LIDAR Point Clouds
Includes: Sziranyi, T.[Tamas] Szirányi, T.[Tamás] Sziranyi, T. Szirányi, T.[Tamáss] Szirányi, T. Sziranyi, T.[Tamás] Sziranyi, T.[Tamŕs]
84 for Sziranyi, T.
Szirmay Kalos, L.
* 2013: Averaging and Metropolis Iterations For Positron Emission Tomography
* 2014: Multiple Importance Sampling for PET
* 2017: Volume enhancement with externally controlled anisotropic diffusion
* 2018: image-based method for animated stroke rendering, An
* 2018: Multiple importance sampling characterization by weighted mean invariance
Includes: Szirmay Kalos, L. Szirmay-Kalos, L. Szirmay-Kalos, L.[László]
Szirtes, G.[Gabor]
* 2017: Behavioral cues help predict impact of advertising on future sales
Includes: Szirtes, G.[Gabor] Szirtes, G.[Gábor]