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Event-based vision

An event camera, also known as a neuromorphic camera, silicon retina or dynamic vision sensor, is an imaging sensor that responds to local changes in brightness. Event cameras do not capture images using a shutter as conventional cameras do. Instead, each pixel inside an event camera operates independently and asynchronously, reporting changes in brightness as they occur and staying silent otherwise. Modern event cameras have microsecond temporal resolution, 120 dB dynamic range, and less under/overexposure and motion blur than frame cameras.

Papers

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Showing 101–125 of 145 papers

TitleStatusHype
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras—0
Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications—0
Non-Invasive Qualitative Vibration Analysis using Event Camera—0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events—0
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
Optimal OnTheFly Feedback Control of Event Sensors—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Attention Mechanisms for Object Recognition with Event-Based Cameras—0
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM—0
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling—0
Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception—0
Real-time clustering and multi-target tracking using event-based sensors—0
Asynchronous Optimisation for Event-based Visual Odometry—0
Asynchronous Bioplausible Neuron for SNN for Event Vision—0
Re-Interpreting the Step-Response Probability Curve to Extract Fundamental Physical Parameters of Event-based Vision Sensors—0
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation—0
ASAP: Adaptive Scheme for Asynchronous Processing of Event-based Vision Algorithms—0
Robust event-stream pattern tracking based on correlative filter—0
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation—0
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision—0
An error-propagation spiking neural network compatible with neuromorphic processors—0
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning—0
A Framework for Pupil Tracking with Event Cameras—0
3D Human Scan With A Moving Event Camera—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified