Seiler, C.[Claude]
* 2008: Noise in high dynamic range imaging
* 2009: Wavelet based denoising by correlation analysis for high dynamic range imaging
Seiler, D.
* 2012: Long-Term Incremental Web-Supervised Learning of Visual Concepts via Random Savannas
Seiler, E.
* 2009: Mirador: A Simple Fast Search Interface for Global Remote Sensing Data Sets
Seiler, J.[Jurgen]
* 2008: Spatio-temporal prediction in video coding by spatially refined motion compensation
* 2010: Content-Adaptive Motion Compensated Frequency Selective Extrapolation for error concealment in video communication
* 2011: Motion Compensated Three-Dimensional Frequency Selective Extrapolation for improved error concealment in video communication
* 2012: Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data
* 2012: High dynamic range video by spatially non-regular optical filtering
* 2013: Spatio-temporal error concealment in video by denoised temporal extrapolation refinement
* 2014: 3-D mesh compensated wavelet lifting for 3-D-t medical CT data
* 2014: Accelerated hybrid image reconstruction for non-regular sampling color sensors
* 2014: Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000
* 2014: error-based recursive filling ordering for image error concealment, An
* 2014: High dynamic range video reconstruction from a stereo camera setup
* 2014: Open source HEVC analyzer for rapid prototyping (HARP)
* 2014: Reconstruction of images taken by a pair of non-regular sampling sensors using correlation based matching
* 2014: Reducing randomness of non-regular sampling masks for image reconstruction
* 2015: Centroid adapted frequency selective extrapolation for reconstruction of lost image areas
* 2015: Denoising-based image reconstruction from pixels located at non-integer positions
* 2015: Hybrid super-resolution combining example-based single-image and interpolation-based multi-image reconstruction approaches
* 2015: Reconstruction of videos taken by a non-regular sampling sensor
* 2015: Resampling Images to a Regular Grid From a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
* 2015: Super-resolution for mixed-resolution multiview image plus depth data using a novel two-stage high-frequency extrapolation method for occluded areas
* 2016: Robust Super-Resolution for Mixed-Resolution Multiview Image Plus Depth Data
* 2016: Sparse signal reconstruction with multiple side information using adaptive weights for multiview sources
* 2017: Demonstration of rapid frequency selective reconstruction for image resolution enhancement
* 2017: Frequency-Selective Mesh-to-Grid Resampling for Image Communication
* 2017: Local statistics estimation for rapid frequency selective extrapolation
* 2017: Scaled fixed-point frequency selective extrapolation for fast image error concealment
* 2018: Compressive Online Robust Principal Component Analysis via n-L_1 Minimization
* 2018: flexible mixed-signal image processing pipeline using 3D chip stacks, A
* 2018: Iterative Optimization of Quarter Sampling Masks for Non-Regular Sampling Sensors
* 2019: Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction
* 2019: Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation
* 2019: Joint Regression Modeling and Sparse Spatial Refinement for High-Quality Reconstruction of Distorted Color Images
* 2020: Boosting Compressed Sensing Using Local Measurements and Sliding Window Reconstruction
* 2020: Camera Array for Multi-Spectral Imaging
* 2020: Deep Learning Based Cross-Spectral Disparity Estimation For Stereo Imaging
* 2020: Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted Very Deep Super Resolution Network
* 2020: Introducing Latent Space Correlation to Conditional Autoencoders for Intra Prediction
* 2020: Joint Content-Adaptive Dictionary Learning And Sparse Selective Extrapolation For Cross-Spectral Image Reconstruction
* 2021: Intra To Inter: Towards Intra Prediction for Learning-Based Video Coders Using Optical Flow
* 2021: Novel Consistency Check for Fast Recursive Reconstruction of Non-Regularly Sampled Video Data
* 2022: Camera Self-Calibration: Deep Learning from Driving Scenes
* 2022: Domain Adaptation for Unknown Image Distortions in Instance Segmentation
* 2022: Forensic License Plate Recognition with Compression-Informed Transformers
* 2022: P-Frame Coding with Generalized Difference: A Novel Conditional Coding Approach
* 2023: Cross Spectral Image Reconstruction Using a Deep Guided Neural Network
* 2023: Image Super-Resolution Using T-Tetromino Pixels
Includes: Seiler, J.[Jurgen] Seiler, J. Seiler, J.[Jürgen] Seiler, J.[Juergen]
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Seiler, M.[Martin]
* 2011: Robust interactive cutting based on an adaptive octree simulation mesh
Seiler, R.
* 1996: Off-Line Cursive Handwriting Recognition Compared with On-Line Recognition
* 1997: Recovery of Temporal Information of Cursively Handwritten Words for On-Line Recognition
* 2015: Remote Sensing-Based Assessment of the Variability of Winter and Summer Precipitation in the Pamirs and Their Effects on Hydrology and Hazards Using Harmonic Time Series Analysis
Includes: Seiler, R. Seiler, R.[Ralf]
Seiller, N.[Nicolas]
* 2010: Object oriented framework for real-time image processing on GPU