Papers Low-latency processing
“Low-latency processing” 태그가 달린 논문 23편 · 필터 해제
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 EstimationEvent-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture Recognition
Wearable health devices have a strong demand in real-time biomedical signal processing. However traditional methods often require data transmission to centralized processing unit with substantial computational resources …
Gesture RecognitionLow-latency processingLearning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
Large language models (LLMs) have demonstrated remarkable capabilities in handling complex dialogue tasks without requiring use case-specific fine-tuning. However, analyzing live dialogues in real-time necessitates low-l…
Dialogue Act ClassificationDialogue State TrackingIntent DetectionLow-latency processingWandering around: A bioinspired approach to visual attention through object motion sensitivity
Active vision enables dynamic visual perception, offering an alternative to static feedforward architectures in computer vision, which rely on large datasets and high computational resources. Biological selective attenti…
Low-latency processingMotion SegmentationSegmentationSemantic Segmentation+4Continuous signal sparse encoding using analog neuromorphic variability
Achieving fast and reliable temporal signal encoding is crucial for low-power, always-on systems. While current spike-based encoding algorithms rely on complex networks or precise timing references, simple and robust enc…
Information RetrievalLow-latency processingDecoding finger velocity from cortical spike trains with recurrent spiking neural networks
Invasive cortical brain-machine interfaces (BMIs) can significantly improve the life quality of motor-impaired patients. Nonetheless, externally mounted pedestals pose an infection risk, which calls for fully implanted s…
Low-latency processingEON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction
For Edge AI applications, deploying online learning and adaptation on resource-constrained embedded devices can deal with fast sensor-generated streams of data in changing environments. However, since maintaining low-lat…
Low-latency processingHype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
Identifying optimal join orders (JOs) stands out as a key challenge in database research and engineering. Owing to the large search space, established classical methods rely on approximations and heuristics. Recent effor…
Low-latency processingreinforcement-learningReinforcement LearningReinforcement Learning (RL)Modified Parametric Multichannel Wiener Filter \\for Low-latency Enhancement of Speech Mixtures with Unknown Number of Speakers
This paper introduces a novel low-latency online beamforming (BF) algorithm, named Modified Parametric Multichannel Wiener Filter (Mod-PMWF), for enhancing speech mixtures with unknown and varying number of speakers. Alt…
Low-latency processingOpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science
In many experiment-driven scientific domains, such as high-energy physics, material science, and cosmology, high data rate experiments impose hard constraints on data acquisition systems: collected data must either be in…
High-Level SynthesisLow-latency processingMachine Learning 5G Attack Detection in Programmable Logic
Machine learning-assisted network security may significantly contribute to securing 5G components. However, machine learning network security inference generally requires tens to hundreds of milliseconds, thereby introdu…
Low-latency processingStreaming parallel transducer beam search with fast-slow cascaded encoders
Streaming ASR with strict latency constraints is required in many speech recognition applications. In order to achieve the required latency, streaming ASR models sacrifice accuracy compared to non-streaming ASR models du…
Low-latency processingspeech-recognitionSpeech RecognitionHigh-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling
This paper presents a novel high-fidelity and low-latency universal neural vocoder framework based on multiband WaveRNN with data-driven linear prediction for discrete waveform modeling (MWDLP). MWDLP employs a coarse-fi…
CPULow-latency processingEnd-to-End Memristive HTM System for Pattern Recognition and Sequence Prediction
Neuromorphic systems that learn and predict from streaming inputs hold significant promise in pervasive edge computing and its applications. In this paper, a neuromorphic system that processes spatio-temporal information…
Edge-computingLow-latency processingA Multi-Phase Gammatone Filterbank for Speech Separation via TasNet
In this work, we investigate if the learned encoder of the end-to-end convolutional time domain audio separation network (Conv-TasNet) is the key to its recent success, or if the encoder can just as well be replaced by a…
Low-latency processingSpeech Separation