Papers Event-based vision
“Event-based vision” 태그가 달린 논문 202편 · 필터 해제
ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification
Object classification in event-based computer vision is a task that is attracting considerable research attention. Event-based object classification is a fundamental task in the fields of security and applied computer vi…
Event-based visionParameter Efficient Continual Learning for Sparse Event-Based Transformers
Robotic and edge intelligence systems operate in dynamic environments where data arrives continuously, requiring models to adapt while preserving previously learned knowledge under strict memory and energy constraints. W…
parameter-efficient fine-tuningclass-incremental learningContinual LearningEvent-based visionEvent Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection
Event-based vision and spiking neural networks (SNNs) are increasingly adopted for edge intelligence under strict latency and energy constraints. However, the vulnerability of event-based SNN object detection models to a…
Event-based visionObject DetectionHardware-aware Graph Neural Networks prunning for embedded event-based vision
Event-based cameras are gaining popularity as the sensor of choice for mobile robotics, due to their high performance in dynamic environments. However, these applications require efficient real-time data processing with …
Event-based visionFracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics
Event cameras asynchronously report brightness changes with microsecond-level temporal resolution, but real event data remain difficult to collect at scale because specialized sensors, careful synchronization, and task-s…
Optical Flow EstimationImage ReconstructionEvent-based visionNeural Events: Discrete Asynchronous Autoencoders for Event-Based Vision
Event cameras capture dynamic scenes with exceptional temporal fidelity by representing them as a continuous stream of microsecond resolution \textit{events}. Each individual event, however, only carries minimal semantic…
Event-based visionObject DetectionEvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution
Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range. Recent works have introduced it to video super-resolution (VSR) t…
Video Super-ResolutionEvent-based visionOpenGlass: Ultra-Low-Power On-Device AI Eyewear with Event-based Vision
Smart eyewear enables unobtrusive, context-aware interaction through multimodal sensors and on-device intelligence, but is severely limited by power, memory, and compute constraints in a compact form factor. Open-hardwar…
Hand Gesture RecognitionEvent-based visionEvent-Based Vision in Space: Applications, Trends, and Future Directions
Earth Observation (EO) is undergoing a significant transformation driven by the deployment of novel sensing technologies. Traditional frame-based optical sensors often struggle with motion blur, high power consumption, a…
Event-based visionChange DetectionEventShiftFlow: Towards Hardware-efficient FPGA-based Flow Estimation
Event-based vision sensors offer asynchronous, high-temporal-resolution measurements that are attractive for low-latency robotic perception, but many event-based motion estimation methods are computationally intensive an…
Event-based visionExploring deep learning for Event-Based Saliency Prediction with a Transformer-based model
Saliency prediction has been extensively studied in RGB images and videos as a computational model of human visual attention. In contrast, predicting saliency from event-based data remains largely unexplored, despite the…
Saliency PredictionEvent-based visionFPGA-Based Hardware Architecture for Contrast Maximization in Event-Based Vision
This paper presents a hardware architecture that implements the Contrast Maximization (CM) algorithm in Field-Programmable Gate Array (FPGA) resources for event-based vision systems. CM estimates motion parameters by max…
Event-based visionObject TrackingInterFuserDVS: Event-Enhanced Sensor Fusion for Safe RL-Based Decision Making
Autonomous driving systems rely heavily on robust sensor fusion to perceive complex envi- ronments. Traditional setups using RGB cameras and LiDAR often struggle in high-dynamic- range scenes or high-speed scenarios due …
Event-based visionAutonomous DrivingDecision MakingBSViT: A Burst Spiking Vision Transformer for Expressive and Efficient Visual Representation Learning
Spiking Vision Transformers (S-ViTs) offer a promising framework for energy-efficient visual learning. However, existing designs remain limited by two fundamental issues: the restricted information capacity of binary spi…
Representation LearningEvent-based visionEfficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware
Reliable relative pose estimation is a key enabler for autonomous rendezvous and proximity operations, yet space imagery is notoriously challenging due to extreme illumination, high contrast, and fast target motion. Even…
Event-based visionPose EstimationSurrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
Spiking Neural Networks (SNNs) offer inherent advantages for low-power inference through sparse, event-driven computation. However, the theoretical energy benefits of SNNs are often decoupled from real hardware performan…
Event-based visionTowards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets
Event-based vision, characterized by low redundancy, focus on dynamic motion, and inherent privacy-preserving properties, naturally fits the demands of video anomaly detection (VAD). However, the absence of dedicated eve…
Video Anomaly DetectionKnowledge DistillationEvent-based visionFlashCap: Millisecond-Accurate Human Motion Capture via Flashing LEDs and Event-Based Vision
Precise motion timing (PMT) is crucial for swift motion analysis. A millisecond difference may determine victory or defeat in sports competitions. Despite substantial progress in human pose estimation (HPE), PMT remains …
Event-based visionPose EstimationReal-Time Optical Communication Using Event-Based Vision with Moving Transmitters
In multi-robot systems, traditional radio frequency (RF) communication struggles with contention and jamming. Optical communication offers a strong alternative. However, conventional frame-based cameras suffer from limit…
Event-based visionSpikeCLR: Contrastive Self-Supervised Learning for Few-Shot Event-Based Vision using Spiking Neural Networks
Event-based vision sensors provide significant advantages for high-speed perception, including microsecond temporal resolution, high dynamic range, and low power consumption. When combined with Spiking Neural Networks (S…
Self-Supervised LearningEvent-based vision