activity
20222026
most citedWhat Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language

Xiang Fang, Wanlong Fang, Daizong Liu +8

Video Moment Retrieval (VMR) targets to retrieve the specific moment corresponding to a sentence query from an untrimmed video. Although recent works have made remarkable progress…

cs.CL2024

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph

Yutong Zhang, Lixing Chen, Shenghong Li +6

Large language models (LLMs) have demonstrated exceptional performance across a wide variety of domains. Nonetheless, generalist LLMs continue to fall short in reasoning tasks nece…

cs.CV2024★ 1 cited

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception

Wanfang Su, Lixing Chen, Yang Bai +4

Multi-agent perception (MAP) allows autonomous systems to understand complex environments by interpreting data from multiple sources. This paper investigates intermediate collabora…

cs.CR2024

The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective

Cheng Wang, Zenghui Yuan, Pan Zhou +3

Mobile Edge Computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network's edge. By shifting the…

cs.CV2022

Gaussian Kernel-based Cross Modal Network for Spatio-Temporal Video Grounding

Zeyu Xiong, Daizong Liu, Pan Zhou

Spatial-Temporal Video Grounding (STVG) is a challenging task which aims to localize the spatio-temporal tube of the interested object semantically according to a natural language…