Glanc, M.[Marie]
* 2007: 3D phase diversity: a myopic deconvolution method for short-exposure images: application to retinal imaging
Glance, D.[David]
* 2021: Assistive Signals for Deep Neural Network Classifiers
* 2021: Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
Glandon, A.
* 2019: Glidar3DJ: a View-Invariant Gait Identification via Flash Lidar Data Correction
Glandorf, P.[Patrick]
* 2023: HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
Glaner, M.F.[Marcus Franz]
* 2022: Low-Cost GNSS and Real-Time PPP: Assessing the Precision of the u-blox ZED-F9P for Kinematic Monitoring Applications
Glantz, A.[Alexander]
* 2008: Multiple Background Sprite Generation Using Camera Motion Characterization for Object-Based Video Coding
* 2009: Rate-distortion optimization for automatic sprite video coding using H.264/AVC
* 2009: Video coding using global motion temporal filtering
* 2010: Compressed domain global motion estimation using the Helmholtz Tradeoff Estimator
* 2010: Global motion temporal filtering for in-loop deblocking
* 2011: block-adaptive skip mode for inter prediction based on parametric motion models, A
* 2011: Temporal trajectory filtering for bi-directional predicted frames
* 2011: Theoretical consideration of global motion temporal filtering
* 2012: Adaptive Global Motion Temporal Filtering for High Efficiency Video Coding
* 2012: Adaptive Temporal Trajectory Filtering for Video Compression
* 2012: Quadtree-based temporal trajectory filtering
* 2013: Monte-Carlo-Based Parametric Motion Estimation Using a Hybrid Model Approach
* 2013: Motion-based object segmentation using hysteresis and bidirectional inter-frame change detection in sequences with moving camera
Includes: Glantz, A.[Alexander] Glantz, A.
13 for Glantz, A.
Glantz, R.[Roland]
* 2001: Skeletons in the Framework of Graph Pyramids
* 2002: Logarithmic Tapering Graph Pyramid
* 2003: Hierarchical matching of panoramic images
* 2003: Segmentation of brush strokes by saliency preserving dual graph contraction
Includes: Glantz, R.[Roland] Glantz, R.
Glanville, K.[Katharine]
* 2015: Remote Sensing Analysis Techniques and Sensor Requirements to Support the Mapping of Illegal Domestic Waste Disposal Sites in Queensland, Australia
Glanz, F.H.
* 1986: Autoregressive Model Approach to Two-Dimensional Shape Classification, An
* 1986: Autoregressive Model Approach to Two-Dimensional Shape Classification, An
Glanz, H.[Hunter]
* 2014: parametric model for classifying land cover and evaluating training data based on multi-temporal remote sensing data, A
Glanzel, W.[Wolfgang]
* 2012: Optimized Data Fusion for Kernel k-Means Clustering