"Foi, Alessandro" - Selaus tekijän mukaan TUNICRIS-julkaisut
Viitteet 1-20 / 48
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Anisotropic Denoising of 3D Point Clouds by Aggregation of Multiple Surface-Adaptive Estimates
(2021)
article3D point clouds commonly contain positional errors which can be regarded as noise. We propose a point cloud denoising algorithm based on aggregation of multiple anisotropic estimates computed on local coordinate systems. ... -
Anisotropic Spatiotemporal Regularization in Compressive Video Recovery by Adaptively Modeling the Residual Errors as Correlated Noise
(IEEE, 27.08.2018)
conferenceObjectMany approaches to compressive video recovery proceed iteratively, treating the difference between the previous estimate and the ideal video as residual noise to be filtered. We go beyond the common white-noise modeling ... -
Anisotropically Foveated Nonlocal Image Denoising
IEEE International Conference on Image Processing (Institute of Electrical and Electronics Engineers IEEE, 2013)
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Anomaly Detection Using Convolutional Sparse Models
(University of Cambridge, 06.07.2015)
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Benchmarking pose estimation for robot manipulation
(09 / 2021)
articleRobot grasping and manipulation require estimation of 3D object poses. Recently, a number of methods and datasets for vision-based pose estimation have been proposed. However, it is unclear how well the performance measures ... -
Blockwise Multi-Order Feature Regression for Real-Time Path Tracing Reconstruction
(06 / 2019)
articlePath tracing produces realistic results including global illumination using a unified simple rendering pipeline. Reducing the amount of noise to imperceptible levels without post-processing requires thousands of samples ... -
Collaborative filtering based on group coordinates for smoothing and directional sharpening
(IEEE, 04.08.2015)
conferenceObjectGroups of mutually similar image blocks are the key element in nonlocal image processing. In this work, the spatial coordinates of grouped blocks are leveraged in two distinct parts of the transform-domain collaborative ... -
Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching
(2020)
articleCollaborative filters perform denoising through transform-domain shrinkage of a group of similar patches extracted from an image. Existing collaborative filters of stationary correlated noise have all used simple approximations ... -
Detecting Anomalous Structures by Convolutional Sparse Models
(IEEE, 12.07.2015)
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Exact Transform-Domain Noise Variance for Collaborative Filtering of Stationary Correlated Noise
IEEE International Conference on Image Processing (IEEE, 09 / 2019)
conferenceObjectCollaborative filters perform denoising through transform-domain shrinkage of a group of similar blocks extracted from an image. Existing methods for collaborative filtering of stationary correlated noise have all used ... -
Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation
(15.02.2022)
articleThe nonlinear propagation of ultrashort pulses in optical fibers depends sensitively on the input pulse and fiber parameters. As a result, the optimization of propagation for specific applications generally requires ... -
Foveated Nonlocal Self-Similarity
(2016)
articleWhen we gaze a scene, our visual acuity is maximal at the fixation point (imaged by the fovea, the central part of the retina) and decreases rapidly towards the periphery of the visual field. This phenomenon is known as ... -
Foveated Self-Similarity in Nonlocal Image Filtering
(SPIE, 2012)
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Gaussian-Cauchy Mixture Modeling for Robust Signal-Dependent Noise Estimation
(IEEE, 2014)
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Head Contour Extraction from Fetal Ultrasound Images by Difference of Gaussians Revolved Along Elliptical Paths
IEEE International Symposium on Biomedical Imaging (Institute of Electrical and Electronics Engineers IEEE, 2012)
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Improved Sparse Signal Recovery via Adaptive Correlated Noise Model
(14.10.2022)
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Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina
(08 / 2023)
articleInvestigation of nuclear lamina architecture relies on super-resolved microscopy. However, epitope accessibility, labeling density, and detection precision of individual molecules pose challenges within the molecularly ... -
Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral-Multispectral Image Fusion
(2022)
articleThe fusion of a low-spatial-and-high-spectral resolution hyperspectral image (HSI) with a high-spatial-and-low-spectral resolution multispectral image (MSI) allows synthesizing a high-resolution image (HRI), supporting ...
