Data to 14 Oct 2026

Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras

arXiv 1805.07931 ↗First posted 21 May 2018cs.CVcited by 57

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Abstract (arXiv)

Event-based cameras, also known as neuromorphic cameras, are bioinspired sensors able to perceive changes in the scene at high frequency with low power consumption. Becoming available only very recently, a limited amount of work addresses object detection on these devices. In this paper we propose two neural networks architectures for object detection: YOLE, which integrates the events into surfaces and uses a frame-based model to process them, and fcYOLE, an asynchronous event-based fully convolutional network which uses a novel and general formalization of the convolutional and max pooling layers to exploit the sparsity of camera events. We evaluate the algorithm with different extensions of publicly available datasets and on a novel synthetic dataset.

Key facts. Cited by 57 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 May 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 10; 2022: 10; 2023: 9; 2024: 15; 2025: 9; 2026: 4.

57 papers.

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2022Recurrent Vision Transformers for Object Detection with Event Camerascited by 159
2022AEGNN: Asynchronous Event-based Graph Neural Networkscited by 118
2023Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarkscited by 90
2022Object Detection with Spiking Neural Networks on Automotive Event Datacited by 80
2024State Space Models for Event Camerascited by 75
2023Graph-based Asynchronous Event Processing for Rapid Object Recognitioncited by 51
2021E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognitioncited by 50
2021EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillationcited by 47
2024Scene Adaptive Sparse Transformer for Event-based Object Detectioncited by 39
2021Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translationcited by 32
2022Pushing the Limits of Asynchronous Graph-based Object Detection with Event Camerascited by 32
2023SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognitioncited by 30

38 more

2024Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Datasetcited by 25
2022Motion Robust High-Speed Light-Weighted Object Detection With Event Cameracited by 23
2021Representation Learning for Event-based Visuomotor Policiescited by 20
2024SFOD: Spiking Fusion Object Detectorcited by 20
2023Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representationcited by 16
2024EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networkscited by 16
2021From SLAM to Situational Awareness: Challenges and Surveycited by 15
2021DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptationcited by 14
2022DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecturecited by 13
2024EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Visioncited by 13
2024Data-efficient Event Camera Pre-training via Disentangled Masked Modelingcited by 9
2024Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translationcited by 9
2024ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Datacited by 8
2023A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognitioncited by 7
2024Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAscited by 7
2024Frequency-Adaptive Low-Latency Object Detection Using Events and Framescited by 7
2021Event Camera Simulator Design for Modeling Attention-based Inference Architecturescited by 6
2021Event Neural Networkscited by 5
2021SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networkscited by 4
2024Deep Event-based Object Detection in Autonomous Driving: A Surveycited by 4
2024Time-Resolved MNIST Dataset for Single-Photon Recognitioncited by 4
2022High-temporal-resolution event-based vehicle detection and trackingcited by 3
2023RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Networkcited by 3
2023Accelerated Event-Based Feature Detection and Compression for Surveillance Video Systemscited by 3
2025Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: a Reviewcited by 3
2021A Spike Learning System for Event-driven Object Recognitioncited by 2
2022Transferring dense object detection models to event-based datacited by 2
2022Event-based YOLO Object Detection: Proof of Concept for Forward Perception Systemcited by 2
2025TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Trackingcited by 2
2025Maximizing Asynchronicity in Event-based Neural Networkscited by 2
2025EvDetMAV: Generalized MAV Detection from Moving Event Camerascited by 2
2025Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detectioncited by 2
2025Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Eventscited by 2
2022SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Drivingcited by 1
2024An Event-Oriented Diffusion-Refinement Method for Sparse Events Completioncited by 1
2024Low-Latency Scalable Streaming for Event-Based Visioncited by 1
2025EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perceptioncited by 1
2025Spike-TBR: a Noise Resilient Neuromorphic Event Representationcited by 1

50 most cited of 57 All 57 (JSON)