mlsanityData to 14 Oct 2026

Graph-based Asynchronous Event Processing for Rapid Object Recognition

arXiv 2308.14419 ↗First posted 28 Aug 2023cs.CVcited by 51

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Abstract (arXiv)

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightness changes. In this paper, we introduce a novel graph-based framework for event cameras, namely SlideGCN. Unlike some recent graph-based methods that use groups of events as input, our approach can efficiently process data event-by-event, unlock the low latency nature of events data while still maintaining the graph's structure internally. For fast graph construction, we develop a radius search algorithm, which better exploits the partial regular structure of event cloud against k-d tree based generic methods. Experiments show that our method reduces the computational complexity up to 100 times with respect to current graph-based methods while keeping state-of-the-art performance on object recognition. Moreover, we verify the superiority of event-wise processing with our method. When the state becomes stable, we can give a prediction with high confidence, thus making an early recognition. Project page: urlhttps://zju3dv.github.io/slidegcn/.

Key facts. Cited by 51 papers in the map (data through 14 Oct 2026). Builds on 29 of its 48 references that are in the map. First posted on arXiv 28 Aug 2023.

Builds on

29 of 48 references.

References · 29

  1. 2017Graph Attention Networkscited by 8,923
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  3. 2017Inductive Representation Learning on Large Graphscited by 6,320
  4. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  5. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  6. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,845
  7. 2019A Comprehensive Survey on Graph Neural Networkscited by 2,919
  8. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,436
  9. 2018Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learningcited by 1,102
  10. 2019Event-based Vision: A Surveycited by 1,016
  11. 20173D Semantic Segmentation with Submanifold Sparse Convolutional Networkscited by 748
  12. 2015Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccadescited by 314
17 more
  1. 2018Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotioncited by 307
  2. 2018HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classificationcited by 218
  3. 2019End-to-End Learning of Representations for Asynchronous Event-Based Datacited by 217
  4. 2019Events-to-Video: Bringing Modern Computer Vision to Event Camerascited by 193
  5. 2018Asynchronous, Photometric Feature Tracking using Events and Framescited by 118
  6. 2020Event-based Stereo Visual Odometrycited by 105
  7. 2020Event-based Asynchronous Sparse Convolutional Networkscited by 104
  8. 2018Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networkscited by 97
  9. 2019Graph-Based Object Classification for Neuromorphic Vision Sensingcited by 85
  10. 2018EventNet: Asynchronous Recursive Event Processingcited by 58
  11. 2018Asynchronous Convolutional Networks for Object Detection in Neuromorphic Camerascited by 57
  12. 2015HFirst: A Temporal Approach to Object Recognitioncited by 50
  13. 2020Event-based Motion Segmentation with Spatio-Temporal Graph Cutscited by 50
  14. 2016Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisationcited by 49
  15. 2019Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Camerascited by 48
  16. 2017DART: Distribution Aware Retinal Transform for Event-based Camerascited by 40
  17. 2020Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networkscited by 16

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 26; 2025: 16; 2026: 5.

51 papers.

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  1. 2023GET: Group Event Transformer for Event-Based Visioncited by 73
  2. 2024Recent Event Camera Innovations: A Surveycited by 68
  3. 2024Scene Adaptive Sparse Transformer for Event-based Object Detectioncited by 39
  4. 2023V2CE: Video to Continuous Events Simulatorcited by 25
  5. 2024Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Datasetcited by 25
  6. 2024EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognitioncited by 23
  7. 2024SFOD: Spiking Fusion Object Detectorcited by 20
  8. 2024DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognitioncited by 17
  9. 2024ESVO2: Direct Visual-Inertial Odometry with Stereo Event Camerascited by 17
  10. 2024EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networkscited by 16
  11. 2024Event-guided Low-light Video Semantic Segmentationcited by 14
  12. 2024EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Visioncited by 13
38 more
  1. 2024BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Eventscited by 13
  2. 2023E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learningcited by 11
  3. 2024Data-efficient Event Camera Pre-training via Disentangled Masked Modelingcited by 9
  4. 2024Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translationcited by 9
  5. 2025Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Camerascited by 8
  6. 2025Adaptive Event Stream Slicing for Open-Vocabulary Event-Based Object Detection via Vision-Language Knowledge Distillationcited by 8
  7. 2024Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenescited by 7
  8. 2024Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAscited by 7
  9. 2025Hybrid Spiking Vision Transformer for Object Detection with Event Camerascited by 7
  10. 2023Object-centric Cross-modal Feature Distillation for Event-based Object Detectioncited by 6
  11. 2025Event Camera Meets Mobile Embodied Perception: Abstraction, Algorithm, Acceleration, Applicationcited by 6
  12. 2024Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Visioncited by 5
  13. 2024BlinkTrack: Feature Tracking over 80 FPS via Events and Imagescited by 4
  14. 2025Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detectioncited by 4
  15. 2024MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Readingcited by 3
  16. 2024Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognitioncited by 3
  17. 2024Conditional Uncertainty Quantification for Tensorized Topological Neural Networkscited by 3
  18. 2025When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Networkcited by 3
  19. 2026Low-Latency Event-Based Object Detection with Spatially-Sparse Linear Attentioncited by 3
  20. 2024Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Networkcited by 2
  21. 2024Event USKT : U-State Space Model in Knowledge Transfer for Event Camerascited by 2
  22. 2025Maximizing Asynchronicity in Event-based Neural Networkscited by 2
  23. 2025Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detectioncited by 2
  24. 2025Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Eventscited by 2
  25. 2025Spiking Patches: Asynchronous, Sparse, and Efficient Tokens for Event Camerascited by 2
  26. 2026Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGAcited by 2
  27. 2024An Event-Oriented Diffusion-Refinement Method for Sparse Events Completioncited by 1
  28. 2024PASS: Path-selective State Space Model for Event-based Recognitioncited by 1
  29. 2024Expanding Event Modality Applications through a Robust CLIP-Based Encodercited by 1
  30. 2025Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGAcited by 1
  31. 2025EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perceptioncited by 1
  32. 2025Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injectioncited by 1
  33. 2025WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Camerascited by 1
  34. 2025GraphEnet: Event-driven Human Pose Estimation with a Graph Neural Networkcited by 1
  35. 2024A dynamic vision sensor object recognition model based on trainable event-driven convolution and spiking attention mechanismcited by 0
  36. 2025Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAscited by 0
  37. 2026ODD-SEC: Onboard Drone Detection with a Spinning Event Cameracited by 0
  38. 2026Neural Events: Discrete Asynchronous Autoencoders for Event-Based Visioncited by 0

50 most cited of 51 All 51 (JSON)