Topic: event-camera Goto Github
Some thing interesting about event-camera
Some thing interesting about event-camera
event-camera,This the project folder for the paper `Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions'
User: abhishek1411
event-camera,Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols
Organization: aestream
Home Page: https://aestream.github.io/aestream
event-camera,Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/
User: ahupujr
event-camera,EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams [CVPR'24]
User: chris10m
Home Page: https://4dqv.mpi-inf.mpg.de/EventEgo3D
event-camera,đĽđĽđĽA collection of some awesome public SNN(Spiking Neural Network) projects.
User: codingonion
event-camera,[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
User: dachunkai
Home Page: https://dachunkai.github.io/evtexture.github.io/
event-camera,Low-level Python APIs for Accessing Neuromorphic Devices.
User: duguyue100
event-camera,EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction (CVPRW 2023)
User: ercanburak
Home Page: https://ercanburak.github.io/evreal.html
event-camera,HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks (IEEE Transactions on Image Processing, 2024)
User: ercanburak
Home Page: https://ercanburak.github.io/HyperE2VID.html
event-camera,A large-scale benchmark dataset for color-event based visual tracking
Organization: event-ahu
event-camera,[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Organization: event-ahu
event-camera,[PokerEvent Benchmark Dataset & SNN-ANN Baseline] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"
Organization: event-ahu
event-camera,IJCV2023 paper: Deblurring Low-Light Images with Events
User: fourson
event-camera,Code for "Lifting Monocular Events to 3D Human Poses" - CVPRw 2021
User: gianscarpe
Home Page: https://iit-pavis.github.io/lifting_events_to_3d_hpe/
event-camera,Code for the "Learning to Estimate Two Dense Depths from LiDAR and Event Data" article
Organization: heudiasyc
event-camera,Code for the "Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras" article
Organization: heudiasyc
event-camera,This is the official release for paper "Real-Time Gaze Tracking with Event-Driven Eye Segmentation"
Organization: horizon-research
event-camera,Multi-Hypothesis Asynchronous Tracking of Events. Alzugaray & Chli, BMVC 2020 / 3DV 2019
User: ialzugaray
event-camera,Event-based vision motion estimation
Organization: imperialcollegelondon
event-camera,This is the implementation and dataset for Learning To Reconstruct High Speed and High Dynamic Range Videos From Events, CVPR 2021, by Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani and Ying Fu
User: jackzou233
event-camera,PRCV 2022: The FusionPortable-VSLAM Challenge
User: jokerjohn
event-camera,[CVPR 2024 Highlight] OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies
User: ldkong1205
Home Page: https://ldkong.com/OpenESS
event-camera,[3DV 2022] Pytorch implementation for 3D Event-based Human Pose Estimation
User: masterhow
event-camera,Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://arxiv.org/abs/2103.00806
Organization: microsoft
event-camera,Fully Event-Inspired Visual Odometry, consisting of 1) Event-based Feature Tracker; 2) Monocular Visual Odometry based on feature tracks; 3) Motion Compensation of event images.
User: nurlanov-zh
event-camera,Open source SDK to create applications leveraging event-based vision hardware equipment
Organization: prophesee-ai
Home Page: https://www.prophesee.ai/metavision-intelligence/
event-camera,Real-Time Neural 3D Hand Pose Estimation from an Event Stream [ICCV 2021]
User: r00tman
Home Page: https://4dqv.mpi-inf.mpg.de/EventHands/
event-camera,Neural Radiance Fields from a Single Colour Event Camera [CVPR 2023]
User: r00tman
Home Page: https://4dqv.mpi-inf.mpg.de/EventNeRF/
event-camera,Research on Event Accumulator Settings for Event-Based SLAM
User: robin-shaun
event-camera,DDD20 End-to-End Event Camera Driving Dataset
Organization: sensorsini
Home Page: https://sites.google.com/view/davis-driving-dataset-2020/home
event-camera,A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.
Organization: sensorsini
event-camera,V2E: From video frames to DVS events
Organization: sensorsini
Home Page: https://sites.google.com/view/video2events/home
event-camera,A library for event-based vision
User: shiba24
event-camera, 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)
User: shilpakancharla
event-camera,Paper Reproduction for "Learning Monocular Dense Depth from Events" | CS4245 Computer Vision by Deep Learning course project
User: siyuanwu99
Home Page: https://hackmd.io/RM32gf8fTKOr8I9sY3fGiw
event-camera,[ECCV 2024] SDK for MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
User: timbroed
Home Page: https://muses.vision.ee.ethz.ch/
event-camera,Official implementation of IEEE T-RO 2024 paper: "CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization"
Organization: tub-rip
event-camera,Official implementation of AISY 2022 paper MC-EMVS (Multi-Camera Event-based Multi-View Stereo)
Organization: tub-rip
event-camera,Official implementation of ECCVW 2024 paper "ES-PTAM: Event-based Stereo Parallel Tracking and Mapping"
Organization: tub-rip
event-camera,Event-based Background-Oriented Schlieren (IEEE TPAMI 2023)
Organization: tub-rip
event-camera,The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
Organization: tub-rip
event-camera,
Organization: tub-rip
Home Page: https://tub-rip.github.io/eventvision2023/
event-camera,Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
Organization: tudelft
event-camera,Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
Organization: uzh-rpg
event-camera,Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Organization: uzh-rpg
event-camera,[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models
User: wangxiao5791509
event-camera,Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024
User: windere
event-camera,[ECCV 2024] "BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream"
Organization: wu-cvgl
event-camera,Code release for CVPR 2024 paper LEOD: Label-Efficient Object Detection for Event Cameras
User: wuziyi616
event-camera,Official implementation of "Stereo Depth from Events Cameras: Concentrate and Focus on the Future" (CVPR 2022)
Organization: yonseivnl
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