Szlam, A.[Arthur]
* 2009: Median K-Flats for hybrid linear modeling with many outliers
* 2009: Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
* 2010: Randomized hybrid linear modeling by local best-fit flats
* 2010: split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing, A
* 2012: Fast Approximations to Structured Sparse Coding and Applications to Object Classification
* 2012: Hybrid Linear Modeling via Local Best-Fit Flats
* 2012: Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
* 2013: Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting
* 2014: Better Feature Tracking through Subspace Constraints
* 2014: Multi-class Transductive Learning Based on L_1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model
* 2017: Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
* 2018: Low-Shot Learning with Large-Scale Diffusion
* 2019: Order-Aware Generative Modeling Using the 3D-Craft Dataset
Includes: Szlam, A.[Arthur] Szlam, A.
13 for Szlam, A.
Szlavik, Z.[Zoltan]
* 2004: Estimation of Common Groundplane Based on Co-motion Statistics
* 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
* 2006: Bayesian Estimation of Common Areas in Multi-Camera Systems
* 2006: Higher order symmetry for non-linear classification of human walk detection
* 2007: Detection of Gait Characteristics for Scene Registration in Video Surveillance System
* 2007: Flexible test-bed for unusual behavior detection
* 2007: Geometrical Scene Analysis Using Co-motion Statistics
* 2007: Stochastic View Registration of Overlapping Cameras Based on Arbitrary Motion
* 2007: Video camera registration using accumulated co-motion maps
* 2009: Digital Video Event Detector Framework for Surveillance Applications
* 2009: Use of Vanishing Point for the Classification of Reflections From Foreground Mask in Videos, The
* 2009: Using location and motion statistics for the localization of moving objects in multiple camera surveillance videos
* 2010: statistical method for object localization in multi-camera tracking, A
* 2011: method for object localization in a multiview multimodal camera system, A
Includes: Szlavik, Z.[Zoltan] Szlávik, Z.[Zoltán] Szlavik, Z. Szlavik, Z.[Zoltán]
17 for Szlavik, Z.