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pytorch-unet

Tunable U-Net implementation in PyTorch

realworld

rpg_vid2e

Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"

s2n-suppression-strengthen-network

S2N: Suppression-Strengthen Network for Event-based Recognition under Variant Illuminations

scadec-deep-learning-diffractive-tomography

Efficient and accurate inversion of multiple scattering with deep learning

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

self-mono-sf

Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)

selfunroll_code

sensorsini_ev-flownet

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

slam-book

《视觉SLAM十四讲》代码

software.seg2020

Software for SEG2020 abstracts

solving-full-wave-nonlinear-inverse-scattering-problems-with-back-propagation-scheme

This Matlab code is used to solve inverse scattering problem with convolutional neural network by BPS.

stochastic_seismic_waveform_inversion

Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"

tonic

Publicly available event datasets and transforms.

tore_volumes

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

unopticalflow

Occlusion Aware Unsupervised Learning of Optical Flow From Video

unsupervised-video-interpolation

Unsupervised Video Interpolation using Cycle Consistency

uvm-net

U-shaped Vision Mamba for Single Image Dehazing

v2e

V2E: From video frames to DVS events

vid-ode

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation

video-interpolation-using-deep-optical-flow

In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use pre-trained FlowNet2 deep learning model and experiment by fine-tuning it. We explore the interpolation performance on Spheres dataset and Corridor dataset.

video-interpolation-using-different-opticalflow-algorithms

We have implemented Lucas Kanade, Horn Schunk and Lukas Kanade Multiscale. And evaluated on dataset sphere and corridor.

vie

VIE solver: computes the electromagnetic field (E-vector) inside arbitrary three-dimensional inhomogeneous dielectric objects using the volume integral equation method. Includes: simple tools for constructing objects from elementary shapes, point-dipole and plane-wave sources. Python 2.7 and Python 3 versions.

vifip

Using variational Bayesian inference for inverse problems

vines

Volume INtegral Equation Solver

voxscatter

Volume integral equation solver for electromagnetic scattering simulations

wgse-spikecamera

Codes and Datasets of "Learning Temporal-ordered Representation for Spike Streams Based on Discrete Wavelet Transforms" in AAAI 2023.

wificompositer

Various tools I used to collect and composite data from a wifi device into an image.