Cover Image

STAC: Leveraging Spatio-Temporal Data Associations For Efficient Cross-Camera Streaming and Analytics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gupta, Ragini, Zhao, Lingzhi, Li, Jiaxi, Vakhniuk, Volodymyr, Danilov, Claudiu, Eckhardt, Josh, Bernard, Keyshla, Nahrstedt, Klara
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Multimedia Networking and Internet Architecture I.4.2; I.4.0; C.2.2; C.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Making High-Level AI Design Decisions Explicit Using a Binary Stream System-Designation Approach
by: Mossbridge, Julia
Published: (2024)

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning
by: Li, Lin, et al.
Published: (2026)

Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
by: Ma, Yunjian
Published: (2026)

Super-additive Cooperation in Language Model Agents
by: Tonini, Filippo, et al.
Published: (2025)

Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks
by: García-Ordás, María Teresa, et al.
Published: (2026)

ETOM: A Five-Level Benchmark for Evaluating Tool Orchestration within the MCP Ecosystem
by: Dong, Jia-Kai, et al.
Published: (2025)

Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
by: Leyli-abadi, Milad, et al.
Published: (2025)

Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
by: Huang, Xuanxiang, et al.
Published: (2025)

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
by: Nishiyama, Daiki, et al.
Published: (2025)

Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling
by: Nguyen, Viet Dung, et al.
Published: (2026)

Efficient Neural Network Encoding for 3D Color Lookup Tables
by: Zehtab, Vahid, et al.
Published: (2024)

Threats and Opportunities in AI-generated Images for Armed Forces
by: Meier, Raphael
Published: (2025)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)

Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)

CerberusDet: Unified Multi-Dataset Object Detection
by: Tolstykh, Irina, et al.
Published: (2024)

GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context
by: Bansimba, Gilda Rech, et al.
Published: (2026)

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
by: Nolte, Robin, et al.
Published: (2025)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

How Worrying Are Privacy Attacks Against Machine Learning?
by: Domingo-Ferrer, Josep
Published: (2025)

E-CHUM: Event-based Cameras for Human Detection and Urban Monitoring
by: Brady, Jack, et al.
Published: (2025)

From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
by: Liu, Yizhi, et al.
Published: (2025)

PCRI: Measuring Context Robustness in Multimodal Models for Enterprise Applications
by: Patel, Hitesh Laxmichand, et al.
Published: (2025)

A Three Steps Methodological Approach to Legal Governance Validation
by: Casanovas, Pompeu, et al.
Published: (2024)

Quaternion Convolutional Neural Networks: Current Advances and Future Directions
by: Altamirano-Gomez, Gerardo, et al.
Published: (2023)

Efficient Diffusion Training through Parallelization with Truncated Karhunen-Loève Expansion
by: Ren, Yumeng, et al.
Published: (2025)

FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
by: Gupta, Sunny, et al.
Published: (2025)

When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination
by: Benfeghoul, Martin, et al.
Published: (2024)

Scaling Point-based Differentiable Rendering for Large-scale Reconstruction
by: Zhao, Hexu, et al.
Published: (2025)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
by: Yan, Peng, et al.
Published: (2023)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
by: Sharma, Kartik, et al.
Published: (2024)

Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios
by: Bok, Zhuang Qiang, et al.
Published: (2025)

A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking
by: Thomsen, Knud
Published: (2024)

What Does 'Human-Centred AI' Mean?
by: Guest, Olivia
Published: (2025)

The Company You Keep: How LLMs Respond to Dark Triad Traits
by: Lu, Zeyi, et al.
Published: (2026)

Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
by: Nguyen, Viet Dung, et al.
Published: (2024)

CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
by: Cao, Lele, et al.
Published: (2023)

A Review of Pseudo-Labeling for Computer Vision
by: Kage, Patrick, et al.
Published: (2024)

Synthetic Photography Detection: A Visual Guidance for Identifying Synthetic Images Created by AI
by: Mathys, Melanie, et al.
Published: (2024)

Lightweight LLMs for Network Attack Detection in IoT Networks
by: Sudasinghe, Piyumi Bhagya, et al.
Published: (2026)

Parameterizing Dataset Distillation via Gaussian Splatting
by: Jiang, Chenyang, et al.
Published: (2025)