YOLOv11 re-implementation using PyTorch

Official code for "Temporal Event Stereo via Joint Learning with Stereoscopic Flow" (ECCV2024)

ROS packages for DVS

Publicly available event datasets and transforms.

Stereo depth estimation with Spiking Neural Networks (SNN) on Dynamic Vision Sensor (DVS) data

Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and featu…

Code for the paper "Learning to Super Resolve Intensity Images from Events" (CVPR-2020-Oral).

Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)

Collection of event based vision utility functions

Code for Learning Monocular Dense Depth from Events paper (3DV20)

This repository maintains the implementation of "Event-based Stereo Visual Odometry".

A python library for contrast maximization and voxel creation using events

Optional static typing for Python 3 and 2 (PEP 484)

Pytorch implementation of convolutional neural network visualization techniques

Code of "Unsupervised Adversarial Depth Estimation using Cycled Generative Networks" 3DV2018

Minimal C library to access, configure and get data from neuromorphic sensors and processors. Currently supported devices are the Dynamic Vision Sensor (DVS), the DAVIS cameras, and the Dynap-SE ne…

ESIM: an Open Event Camera Simulator

The Kalibr visual-inertial calibration toolbox

Monocular depth estimation from a single image