Sezen, H.[Halil]
* 2021: End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
Sezer, A.D.
* 2018: Localization via Visible Light Systems
* 2021: Neuro-Inspired Autoencoding Defense Against Adversarial Attacks, A
Includes: Sezer, A.D. Sezer, A.D.[Ahmet Dundar]
Sezer, E.A.[Ebru Akcapinar]
* 2018: Perceptual evaluation of maneuvering motion illusion for virtual pedestrians
* 2019: Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping, An
Includes: Sezer, E.A.[Ebru Akcapinar] Sezer, E.A.[Ebru A.]
Sezer, O.[Osman]
* 2009: Better computer vision under video compression, an example using mean shift tracking
Sezer, O.G.
* 2007: Using perceptual relation of regularity and anisotropy in the texture with independent component model for defect detection
* 2008: NorMaL: Non-compact Markovian Likelihood for change detection
* 2008: Sparse orthonormal transforms for image compression
* 2009: Weighted average denoising with Sparse Orthonormal Transforms
* 2010: sparsity-distortion-optimized multiscale representation of geometry, A
* 2012: DSP-based solution to increase the energy efficiency of real-time video encoders, A
* 2015: Approximation and Compression With Sparse Orthonormal Transforms
Includes: Sezer, O.G. Sezer, O.G.[Osman G.]
7 for Sezer, O.G.
Sezer, S.
* 2009: Subpixel Interpolation Architecture for Multistandard Video Motion Estimation
* 2010: Intelligent Sensor Information System For Public Transport: To Safely Go ...
* 2016: Spatio-Temporal Rich Model-Based Video Steganalysis on Cross Sections of Motion Vector Planes