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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 76–100 of 145 papers

TitleStatusHype
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
Fast Event-based Optical Flow Estimation by Triplet Matching—0
Flow-Based Visual Stream Compression for Event Cameras—0
FPGA Implementation of An Event-driven Saliency-based Selective Attention Model—0
Fully neuromorphic vision and control for autonomous drone flight—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
Optimal OnTheFly Feedback Control of Event Sensors—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—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
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
Robust event-stream pattern tracking based on correlative filter—0
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision—0
Spatiotemporal Feature Learning for Event-Based Vision—0
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline—0
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception—0
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end—0
STEMS: Spatial-Temporal Mapping Tool For Spiking Neural Networks—0
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
Super-resolution of spatiotemporal event-stream image captured by the asynchronous temporal contrast vision sensor—0
Technical report of a DMD-based Characterization Method for Vision Sensors—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified