Projects in Awesome Lists tagged with event-camera

https://github.com/sensorsini/v2e

V2E: From video frames to DVS events

Last synced: 05 Apr 2025

https://github.com/wangxiao5791509/MultiModal_BigModels_Survey

[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

anhui-university audio big-models depth event-camera multi-modal natural-language pengchenglab point-cloud pre-training radar review rgb-text-audio self-attention survey thermal-infrared transformers

Last synced: 02 Apr 2025

https://github.com/tub-rip/event_based_optical_flow

The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)

depth-estimation eccv2022 event-based-vision event-camera event-vision optical-flow pytorch

Last synced: 29 Jun 2025

https://github.com/uzh-rpg/ssms_event_cameras

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

deep-learning deep-neural-networks event-camera event-cameras machine-learning machine-learning-algorithms neuromorphic recurrent-neural-networks rnn rnn-pytorch rnns spotlight ssm ssms state-space-model state-space-models state-space-representation transformer transformers vision-transformer

Last synced: 30 Apr 2025

https://github.com/r00tman/eventnerf

Neural Radiance Fields from a Single Colour Event Camera [CVPR 2023]

computer-vision cvpr2023 event-camera eventnerf mesh nerf neural-radiance-fields neural-rendering pytorch volume-rendering

Last synced: 13 Oct 2025

https://github.com/aestream/aestream

Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols

coroutines event-camera gpu-acceleration neuromorphic pytorch

Last synced: 19 Nov 2025

https://github.com/Event-AHU/COESOT

A large-scale benchmark dataset for color-event based visual tracking

benchmark-dataset coesot dynamic-vision-sensors event-camera multi-modal multi-modality-tracking rgb-event single-object-tracking transformer visual-object-tracking

Last synced: 23 Nov 2025

https://github.com/tub-rip/dvs_mcemvs

Official implementation of AISY 2022 paper MC-EMVS (Multi-Camera Event-based Multi-View Stereo)

3d-reconstruction depth-estimation disparity-space-image event-camera multi-view-stereo robotics slam stereo-vision

Last synced: 29 Jun 2025

https://github.com/uzh-rpg/event_representation_study

Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

event-based-camera event-based-vision event-camera event-cameras events gen1 gen4 gromov-wasserstein gromov-wasserstein-distance gryffin imagenet machine-learning machine-learning-algorithms neural-network object-detection optimal-transport optimization python yolo yolov6

Last synced: 07 Apr 2025

https://github.com/tub-rip/cmax_slam

Official implementation of IEEE T-RO 2024 paper: "CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization"

asynchronous-sensor contrast-maximization event-camera hdr high-dynamic-range ieee-tro rotational-motion simultaneous-localization-and-mapping slam

Last synced: 29 Jun 2025

https://github.com/horizon-research/edgaze

This is the official release for paper "Real-Time Gaze Tracking with Event-Driven Eye Segmentation"

auto-roi event-camera eye-segmentation eye-tracking real-time real-time-eye-tracking

Last synced: 17 Mar 2026

https://github.com/imperialcollegelondon/eventemin

Event-based vision motion estimation

event-camera motion-estimation

Last synced: 07 Apr 2025

https://github.com/robin-shaun/event-slam-accumulator-settings

Research on Event Accumulator Settings for Event-Based SLAM

event-camera slam vio

Last synced: 02 Jul 2025

https://github.com/r00tman/eventhands

Real-Time Neural 3D Hand Pose Estimation from an Event Stream [ICCV 2021]

computer-vision cuda dataset deep-learning event-camera hand-pose hand-pose-estimation hand-tracking iccv2021 mano opengl pytorch smpl

Last synced: 11 Apr 2025

https://github.com/tub-rip/ES-PTAM

Official implementation of ECCVW 2024 SLAM paper "ES-PTAM: Event-based Stereo Parallel Tracking and Mapping"

3d-reconstruction asynchronous-sensor camera-tracking depth-estimation ego-motion-estimation event-camera multi-view-stereo robotics simultaneous-localization-and-mapping stereo-vision

Last synced: 29 Jun 2025

https://github.com/sensorsini/ddd20-utils

DDD20 End-to-End Event Camera Driving Dataset

davis deep-learning event-camera neuromorphic-engineering python27

Last synced: 09 Apr 2025

https://github.com/duguyue100/pyaer

Low-level Python APIs for Accessing Neuromorphic Devices.

amd64 arm64 event-camera neuromorphic-computing neuromorphic-engineering numpy python swig zmq

Last synced: 16 Aug 2025

https://github.com/shiba24/event-vision-library

A library for event-based vision

event-camera

Last synced: 23 May 2026

https://github.com/tub-rip/event_based_bos

Event-based Background-Oriented Schlieren (IEEE TPAMI 2023)

air-convection background-oriented-schlieren co-capture-system event-based-vision event-camera event-data events-and-frames motion-estimation optical-flow schlieren

Last synced: 29 Jun 2025

https://github.com/ai4ce/nyc-event-vpr

dataset event-camera nyc nyc-opendata vpr

Last synced: 11 Jun 2025

https://github.com/tub-rip/eventvision2023

event-based event-camera workshop

Last synced: 29 Jun 2025

https://github.com/sensorsini/mvsec-nightl21

A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.

event-camera neuromorphic-engineering object-detection

Last synced: 08 Oct 2025

https://github.com/shilpakancharla/event-based-velocity-prediction-snn

Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit of using SNNs and neuromorphic technology is the ability to optimize the size, weight, and power consumed in a system. SNNs can be trained and employed in various robotic and computer vision applications; we attempt to use event-based to create a novel approach in order to the predict velocity of objects moving in frame. Data generated in this work is recorded and simulated as event camera data using ESIM. Vicon motion tracking data provides the ground truth position and time values, from which the velocity is calculated. The SNNs developed in this work regress the velocity vector, consisting of the x, y, and z-components, while using the event data, or the list of events associated with each velocity measurement, as the input features. With the use of the novel dataset created, three SNN models were trained and then the model that minimized the loss function the most was further validated by omitting a subset of data used in the original training. The average loss, in terms of RMSE, on the test set after using the trained model on the omitted subset of data was 0.000386. Through this work, it is shown that it is possible to train an SNN on event data in order to predict the velocity of an object in view. (Spring 2022 MS Computer Science Thesis - North Carolina State University)

event-camera neuromorphic-computing regression-models spiking-neural-networks

Last synced: 14 May 2025