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zhangwei's Projects

abide icon abide

ABIDE Preprocessed Initiative

actflowmapping icon actflowmapping

Data analysis code associated with Cole et al. (2016), Nature Neuroscience

anomaly-transformer icon anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

antspy icon antspy

Advanced Normalization Tools in Python

basicsr icon basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

bmh_stroke_severity_sex_differences icon bmh_stroke_severity_sex_differences

Code and source information for the project: "Sex-specific lesion topographies explain outcomes after acute ischemic stroke" (https://doi.org/10.1101/2020.09.25.308742)

brainspace icon brainspace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

cain icon cain

Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"

dain icon dain

Depth-Aware Video Frame Interpolation (CVPR 2019)

deepmotion icon deepmotion

correction of motion artefacts in fMRI using deep learning models

dhcp_template_alignment icon dhcp_template_alignment

script necessary for aligning surfaces (derived from the dHCP structural pipeline) to the dHCP surface template space

edvr icon edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

efdn icon efdn

Edge-enhanced Feature Distillation Network for Efficient Super-Resolution

fmen icon fmen

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

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