image processing and pattern recognition
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Updated
Aug 17, 2017 - Python
image processing and pattern recognition
Data analysis for CHSH experiments with collective measurements
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
The project is an official implement of our ACM Multimedia 2019 paper "Fast Non-Local Neural Networks with Spectral Residual Learning"
[CVPR 2018] Non-local Neural Networks
This is an official implementation of video classification for our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".
This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".
Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
A simple idea of out-of-box convolution.
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
[Codes of paper]: Region-based Non-local operation for Video Classification
Python implementation of "A non-local algorithm for image denoising" paper.
Implementation of our paper entitiled S&CNet: A lightweight network for fast and accurate depth completion published in JVCI.
A Python implementation of a standard Video Patch Similarity Search. This method is commonly used within non-local denoising algorithms.
Object Classification Training Framework
Extending the LIDIA non-local denoiser to (i) videos and (ii) standard resolutions
ImportFromURL is a Module / One-Liner that allows you to effortlessly import Ps1 Scripts, Psm1 Modules & Raw DLL Module Data into your current Powershell session without having to install or store any files locally. "Import From URL"
This is an official pytorch implementation of Fast Fourier Convolution.
The repository contains our implementation for the work to be presented at Ubicomp 2022
[AAAI 2022] Fully Attentional Network for Semantic Segmentation
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