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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 101–145 of 145 papers

TitleStatusHype
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation—0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors—0
Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision—0
Training Deep Spiking Neural Networks using Backpropagation—0
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities—0
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow—0
High-temporal-resolution event-based vehicle detection and tracking—0
How Asynchronous Events Encode Video—0
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision—0
Increasing the scalability of graph convolution for FPGA-implemented event-based vision—0
Maximizing Asynchronicity in Event-based Neural Networks—0
Learning to Detect Objects with a 1 Megapixel Event Camera—0
Low-Latency Scalable Streaming for Event-Based Vision—0
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
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
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing UnitsCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Ecsnet: Spatio-temporal feature learning for event cameraCode0
Hierarchical Neural Memory Network for Low Latency Event ProcessingCode0
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from EventsCode0
Automotive Object Detection via Learning Sparse Events by Spiking NeuronsCode0
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic DataCode0
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object DetectionCode0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise InjectionCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
GERD: Geometric event response data generationCode0
Focus Is All You Need: Loss Functions For Event-based VisionCode0
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based VisionCode0
Event TransformerCode0
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion PerceptionCode0
Event Cameras, Contrast Maximization and Reward Functions: An AnalysisCode0
Event-based Vision for Early Prediction of Manipulation ActionsCode0
CrossZoom: Simultaneously Motion Deblurring and Event Super-ResolvingCode0
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based VisionCode0
Covariant spatio-temporal receptive fields for spiking neural networksCode0
Event-Based Crossing Dataset (EBCD)Code0
Event-based Camera Pose Tracking using a Generative Event ModelCode0
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and LandingCode0
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified