activity
20222026
most citedPrioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics

41 citations · 89 across the 25 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

CP-uniGuard: A Unified, Probability-Agnostic, and Adaptive Framework for Malicious Agent Detection and Defense in Multi-Agent Embodied Perception Systems

Senkang Hu, Yihang Tao, Guowen Xu +5

Collaborative Perception (CP) has been shown to be a promising technique for multi-agent autonomous driving and multi-agent robotic systems, where multiple agents share their perce…

cs.CV2025

Task-Oriented Semantic Compression for Localization at the Network Edge

Zhengru Fang, Senkang Hu, Yu Guo +2

Achieving precise visual localization in GPS-limited urban environments poses significant challenges for resource-constrained mobile platforms, particularly under strict bandwidth,…

cs.CV2024★ 2 cited

IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers

Zihan Fang, Zheng Lin, Senkang Hu +4

Recently, in-car monitoring has emerged as a promising technology for detecting early-stage abnormal status of the driver and providing timely alerts to prevent traffic accidents.…

cs.CV2024★ 4 cited

AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging

Senkang Hu, Zhengru Fang, Zihan Fang +4

Ramp merging is one of the bottlenecks in traffic systems, which commonly cause traffic congestion, accidents, and severe carbon emissions. In order to address this essential issue…

cs.CV2024★ 8 cited

Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Senkang Hu, Zhengru Fang, Yiqin Deng +2

Autonomous driving has attracted significant attention from both academia and industries, which is expected to offer a safer and more efficient driving system. However, current aut…