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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 41–50 of 145 papers

TitleStatusHype
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
A Framework for Pupil Tracking with Event Cameras—0
Event-based vision on FPGAs -- a survey—0
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based VisionCode0
EvTexture: Event-driven Texture Enhancement for Video Super-ResolutionCode5
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
Covariant spatio-temporal receptive fields for spiking neural networksCode0
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision—0
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic PerceptionCode1
3D Human Scan With A Moving Event Camera—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified