Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
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Mar 30, 2023 - Python
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laplacian
Here are 77 public repositories matching this topic...
Image Processing techniques using OpenCV and Python.
python open-source opencv image-processing gaussian video-processing image-segmentation transformation digital-image-processing opencv-python sobel laplacian otsu-thresholding box-filter morphological-processing laplacian-gaussian interpolations-inverse-mapping contours-opencv image-temperature hacktoberfest2023
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Oct 17, 2023 - Python
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
machine-learning word2vec spectral factorization kdd wavelet unsupervised-learning embedding diffusion laplacian refex node2vec graph-embedding graphwave graph-wavelet struc2vec rolx structural-embedding structural-role heat-kernel
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Mar 18, 2023 - Python
Skeletonization of 3D Point Clouds
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May 14, 2024 - Python
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
machine-learning deep-learning neural-network clustering tensorflow community-detection deepwalk matrix-factorization factorization representation-learning unsupervised-learning come nmf laplacian node2vec struc2vec implicit-factorization semisupervised-learning m-nmf mnmf
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Nov 6, 2022 - Python
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
deep-learning convolutional-neural-networks topological-data-analysis laplacian geometric-deep-learning graph-neural-networks
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Apr 14, 2021 - Jupyter Notebook
High Dimensional Numerical and Symbolic Calculus in R
r calculus curl coordinate-systems gradient finite-difference r-package taylor jacobian hessian symbolic-computation einstein laplacian symbolic-differentiation divergence numerical-differentiation numerical-derivation hermite numerical-derivatives
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Mar 10, 2023 - R
Mesh Skeleton Extraction Using Laplacian Contraction
skeleton mesh laplacian skeletonization contraction meshskeletonization skeletonextraction mesh-contraction laplacian-smoothing
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Jan 8, 2018 - Python
Fast, scalable, and extensive implementations of Poisson image editing algorithms.
computer-vision computer-graphics image-processing gradient poisson-equation laplacian image-blending poisson-image-editing gradient-domain-image-processing image-cloning
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Jun 10, 2022 - Python
Blurred image generation and image sharpness evaluation (Brenner, Laplacian, SMD, etc.).
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Jul 1, 2019 - Python
A Julia package for manipulating data in the Riemannian manifold of positive definite matrices
distance mean manifold procrustes geodesic laplacian positive-definite-matrices hermitian riemannian-geometry
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Jun 24, 2023 - Julia
[ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
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Jul 14, 2022 - Python
Matlab Implementation of journal "A fusion-based enhancing method for weakly illuminated images" by XueyangFu, DeluZeng, YueHuang, YinghaoLiao, XinghaoDing, JohnPaisley, Signal Processing Journal, Elsevier, May 2016
journal matlab image-processing gaussian laplacian-pyramid laplacian elsevier histogram-equalization gaussian-pyramid low-light-image-enhancement weekly-illuminated-images
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Jul 20, 2020 - MATLAB
Tensor algebra utility library
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Oct 2, 2024 - Julia
Image processing codes written in python
image-processing edge-detection laplacian median-filtering histogram-equalization averaging-filter low-pass-filter contrast-stretching log-transformation bit-plane-slicing gamma-transformation image-negative intensity-level-slicing gredient
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Sep 22, 2020 - Jupyter Notebook
Edge Detection Using Sobel,Prewitt Operator and Laplacian Operator
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May 20, 2019 - Jupyter Notebook
variational Bayesian algorithm for Brain MR image Segmentation
clustering matlab expectation-maximization bayesian-inference image-segmentation gmm laplacian variational-bayes variational-bayesian-clusterings
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May 2, 2017 - C
Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory
signal-processing cell-complexes simplicial-complexes topological-data-analysis laplacian signal-processing-on-graphs discrete-morse-theory signal-processing-on-cell-complexes pooling-simplicial-neural-networks
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May 31, 2022 - Jupyter Notebook
Code for the BMVC'21 Oral paper "Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance"
deep-learning grl autoencoder unsupervised-learning action-recognition laplacian unsupervised-machine-learning viewpoint-invariance
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Nov 3, 2021 - Python
Code for my publication "Efficient Sensor Selection with Application to Time Varying Graphs", in the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
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Mar 30, 2018 - Python
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