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20212026
most citedPrioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics

41 citations · 229 across the 71 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Mobility Helps Learning: Unsupervised Model Adaptation for Object Recognition via Movement

Yanan Ma, Yihang Tao, Zhengru Fang +3

Movable agents, such as autonomous vehicles and robots, should be able to autonomously adapt their pre-trained object recognition models to new environments without human annotatio…

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.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

SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism

Yuang Zhang, Haonan An, Zhengru Fang +4

In recent years, autonomous driving has garnered significant attention due to its potential for improving road safety through collaborative perception among connected and autonomou…

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…

cs.CV2023★ 4 cited

Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving

Senkang Hu, Zhengru Fang, Yiqin Deng +3

Collaborative perception has recently gained significant attention in autonomous driving, improving perception quality by enabling the exchange of additional information among vehi…