{"total":75,"rows":[{"id":"2310.16620","title":"SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence","created":"2023-10-25","cited_by_count":169,"area":null},{"id":"2212.05598","title":"Recurrent Vision Transformers for Object Detection with Event Cameras","created":"2022-12-11","cited_by_count":159,"area":null},{"id":"2302.13939","title":"SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks","created":"2023-02-27","cited_by_count":88,"area":null},{"id":"2307.11411","title":"Deep Directly-Trained Spiking Neural Networks for Object Detection","created":"2023-07-21","cited_by_count":77,"area":null},{"id":"2402.15584","title":"State Space Models for Event Cameras","created":"2024-02-23","cited_by_count":75,"area":null},{"id":"2310.02642","title":"GET: Group Event Transformer for Event-Based Vision","created":"2023-10-04","cited_by_count":73,"area":null},{"id":"2304.13455","title":"From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection","created":"2023-04-26","cited_by_count":52,"area":null},{"id":"2404.01882","title":"Scene Adaptive Sparse Transformer for Event-based Object Detection","created":"2024-04-02","cited_by_count":39,"area":null},{"id":"2302.06492","title":"Optical flow estimation from event-based cameras and spiking neural networks","created":"2023-02-13","cited_by_count":33,"area":null},{"id":"2211.12324","title":"Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras","created":"2022-11-22","cited_by_count":32,"area":null},{"id":"2305.19725","title":"Direct Learning-Based Deep Spiking Neural Networks: A Review","created":"2023-05-31","cited_by_count":31,"area":null},{"id":"2311.17286","title":"LEOD: Label-Efficient Object Detection for Event Cameras","created":"2023-11-29","cited_by_count":24,"area":null},{"id":"2403.15192","title":"SFOD: Spiking Fusion Object Detector","created":"2024-03-22","cited_by_count":20,"area":null},{"id":"2403.12574","title":"EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks","created":"2024-03-19","cited_by_count":16,"area":null},{"id":"2409.16099","title":"Neuromorphic Drone Detection: an Event-RGB Multimodal Approach","created":"2024-09-24","cited_by_count":14,"area":null},{"id":"2506.23575","title":"Event-based Tiny Object Detection: A Benchmark Dataset and Baseline","created":"2025-06-30","cited_by_count":14,"area":null},{"id":"2402.11322","title":"SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems","created":"2024-02-17","cited_by_count":12,"area":null},{"id":"2304.10211","title":"Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras","created":"2023-04-20","cited_by_count":10,"area":null},{"id":"2306.15749","title":"To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration","created":"2023-06-27","cited_by_count":10,"area":null},{"id":"2412.06708","title":"FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies","created":"2024-12-09","cited_by_count":10,"area":null},{"id":"2503.00301","title":"Differential Coding for Training-Free ANN-to-SNN Conversion","created":"2025-03-01","cited_by_count":10,"area":null},{"id":"2408.05321","title":"A Recurrent YOLOv8-based framework for Event-Based Object Detection","created":"2024-08-09","cited_by_count":9,"area":null},{"id":"2412.02890","title":"EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision","created":"2024-12-03","cited_by_count":9,"area":null},{"id":"2410.09218","title":"Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications","created":"2024-10-11","cited_by_count":8,"area":null},{"id":"2406.14178","title":"EvSegSNN: Neuromorphic Semantic Segmentation for Event Data","created":"2024-06-20","cited_by_count":7,"area":null},{"id":"2505.07715","title":"Hybrid Spiking Vision Transformer for Object Detection with Event Cameras","created":"2025-05-12","cited_by_count":7,"area":null},{"id":"2312.17216","title":"SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks","created":"2023-12-28","cited_by_count":6,"area":null},{"id":"2401.02274","title":"ShapeAug: Occlusion Augmentation for Event Camera Data","created":"2024-01-04","cited_by_count":6,"area":null},{"id":"2403.10173","title":"Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention","created":"2024-03-15","cited_by_count":6,"area":null},{"id":"2307.12900","title":"Automotive Object Detection via Learning Sparse Events by Spiking Neurons","created":"2023-07-24","cited_by_count":5,"area":null},{"id":"2401.04988","title":"Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision","created":"2024-01-10","cited_by_count":5,"area":null},{"id":"2404.10210","title":"MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition","created":"2024-04-16","cited_by_count":5,"area":null},{"id":"2306.12073","title":"NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN","created":"2023-06-21","cited_by_count":4,"area":null},{"id":"2404.03493","title":"A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data","created":"2024-04-04","cited_by_count":4,"area":null},{"id":"2404.09331","title":"SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents","created":"2024-04-14","cited_by_count":4,"area":null},{"id":"2405.03995","title":"Deep Event-based Object Detection in Autonomous Driving: A Survey","created":"2024-05-07","cited_by_count":4,"area":null},{"id":"2410.08673","title":"SpikeBottleNet: Spike-Driven Feature Compression Architecture for Edge-Cloud Co-Inference","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2501.02916","title":"Spiking monocular event based 6D pose estimation for space application","created":"2025-01-06","cited_by_count":3,"area":null},{"id":"2504.15371","title":"Event2Vec: Processing Neuromorphic Events Directly by Representations in Vector Space","created":"2025-04-21","cited_by_count":3,"area":null},{"id":"2506.13440","title":"Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection","created":"2025-06-16","cited_by_count":3,"area":null},{"id":"2302.09429","title":"NU-AIR -- A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles","created":"2023-02-18","cited_by_count":2,"area":null},{"id":"2404.01685","title":"SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems","created":"2024-04-02","cited_by_count":2,"area":null},{"id":"2406.00473","title":"Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors","created":"2024-06-01","cited_by_count":2,"area":null},{"id":"2406.17617","title":"Embedded event based object detection with spiking neural network","created":"2024-06-25","cited_by_count":2,"area":null},{"id":"2407.08704","title":"Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware","created":"2024-07-11","cited_by_count":2,"area":null},{"id":"2504.05679","title":"Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark","created":"2025-04-08","cited_by_count":2,"area":null},{"id":"2506.19416","title":"EvDetMAV: Generalized MAV Detection from Moving Event Cameras","created":"2025-06-24","cited_by_count":2,"area":null},{"id":"2507.14069","title":"Edge Intelligence with Spiking Neural Networks","created":"2025-07-18","cited_by_count":2,"area":null},{"id":"2507.15150","title":"Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection","created":"2025-07-20","cited_by_count":2,"area":null},{"id":"2312.07466","title":"Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery","created":"2023-12-12","cited_by_count":1,"area":null},{"id":"2403.18330","title":"Tracking-Assisted Object Detection with Event Cameras","created":"2024-03-27","cited_by_count":1,"area":null},{"id":"2412.07889","title":"Low-Latency Scalable Streaming for Event-Based Vision","created":"2024-12-10","cited_by_count":1,"area":null},{"id":"2502.05509","title":"Do Spikes Protect Privacy? Investigating Black-Box Model Inversion Attacks in Spiking Neural Networks","created":"2025-02-08","cited_by_count":1,"area":null},{"id":"2504.13541","title":"Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents","created":"2025-04-18","cited_by_count":1,"area":null},{"id":"2504.16616","title":"EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2505.05375","title":"Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks","created":"2025-05-08","cited_by_count":1,"area":null},{"id":"2508.19806","title":"Context-aware Sparse Spatiotemporal Learning for Event-based Vision","created":"2025-08-27","cited_by_count":1,"area":null},{"id":"2602.08726","title":"SynSacc: A Blender-to-V2E Pipeline for Synthetic Neuromorphic Eye-Movement Data and Sim-to-Real Spiking Model Training","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2603.21638","title":"SparseVoxelDet: Fully Sparse Voxel Networks for Efficient Event-Based Drone Detection","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2607.11303","title":"ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras","created":"2026-07-13","cited_by_count":1,"area":null},{"id":"2305.18008","title":"Pedestrian detection with high-resolution event camera","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2311.09225","title":"Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection","created":"2023-09-27","cited_by_count":0,"area":null},{"id":"2505.07556","title":"Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs","created":"2025-05-12","cited_by_count":0,"area":null},{"id":"2511.13735","title":"MS2Edge: Towards Energy-Efficient and Crisp Edge Detection with Multi-Scale Residual Learning in SNNs","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2602.23357","title":"Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Training","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.28429","title":"AceleradorSNN: A Neuromorphic Cognitive System Integrating Spiking Neural Networks and DynamicImage Signal Processing on FPGA","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2605.15392","title":"Frequency-domain Event-based Imaging for Selective Surveillance","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.25293","title":"Neuromorphic LiDAR-based Bird's Eye View Object Detection using Energy-efficient Spiking Neural Networks","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2606.19835","title":"Neural Events: Discrete Asynchronous Autoencoders for Event-Based Vision","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.22378","title":"Following the Flow: Advection-Consistent Modeling for Event-based Small Object Detection","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2607.16834","title":"Robust PnP on a Neuromorphic Processor for Object Pose Estimation","created":"2026-07-18","cited_by_count":0,"area":null},{"id":"2607.23576","title":"Neuromorphic Object Detection: An In-Depth Study and Future Directions","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2607.26703","title":"Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.26644","title":"Real-time Unsupervised Object Discovery from Asynchronous Event Streams","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.20066","title":"PointEvent: Rethinking Event-based Tiny Object Detection via Serialized Motion Evidence Accumulation","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}