Low-latency processing
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Benchmarks
5GAD-2022
Most implemented
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry
Wandering around: A bioinspired approach to visual attention through object motion sensitivity
Decoding finger velocity from cortical spike trains with recurrent spiking neural networks
Machine Learning 5G Attack Detection in Programmable Logic
Papers
Neuromorphic Object Detection: An In-Depth Study and Future Directions
Conventional frame-based cameras face significant challenges in detecting objects under high-speed motion blur or in low-light environments. Neuromorphic cameras provide asynchronous visual streams with high temporal res…
Low-latency processingObject DetectionAutonomous Navigation of Cloud-Controlled Quadcopters in Confined Spaces Using Multi-Modal Perception and LLM-Driven High Semantic Reasoning
This paper introduces an advanced AI-driven perception system for autonomous quadcopter navigation in GPS-denied indoor environments. The proposed framework leverages cloud computing to offload computationally intensive …
Monocular Depth EstimationLow-latency processingCollision AvoidanceObject DetectionOn Designing Modulation for Over-the-Air Computation -- Part I: Noise-Aware Design
Over-the-air computation (OAC) leverages the physical superposition property of wireless multiple access channels (MACs) to compute functions while communication occurs, enabling scalable and low-latency processing in di…
Low-latency processingQuantizationEdge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources with edge devices to enable efficient, …
Autonomous DrivingBenchmarkingDistributed ComputingLow-latency processing+3ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
The rapid growth of video-text data presents challenges in storage and computation during training. Online learning, which processes streaming data in real-time, offers a promising solution to these issues while also all…
InformativenessLow-latency processingSpecificityVideo RetrievalSuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry
Event cameras asynchronously output low-latency event streams, promising for state estimation in high-speed motion and challenging lighting conditions. As opposed to frame-based cameras, the motion-dependent nature of ev…
Graph Neural NetworkLow-latency processingState Estimation