activity
20202025
most citedFedDisco: Federated Learning with Discrepancy-Aware Collaboration

25 citations · 58 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CV2024

ChatDyn: Language-Driven Multi-Actor Dynamics Generation in Street Scenes

Yuxi Wei, Jingbo Wang, Yuwen Du +6

Generating realistic and interactive dynamics of traffic participants according to specific instruction is critical for street scene simulation. However, there is currently a lack…

cs.AI2024★ 5 cited

Language-Driven Interactive Traffic Trajectory Generation

Junkai Xia, Chenxin Xu, Qingyao Xu +3

Realistic trajectory generation with natural language control is pivotal for advancing autonomous vehicle technology. However, previous methods focus on individual traffic particip…

cs.CV2024

Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models

Yuzhu Cai, Sheng Yin, Yuxi Wei +5

The burgeoning landscape of text-to-image models, exemplified by innovations such as Midjourney and DALLE 3, has revolutionized content creation across diverse sectors. However, th…

cs.CV2024★ 1 cited

Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System

Genjia Liu, Yue Hu, Chenxin Xu +8

Vehicle-to-everything-aided autonomous driving (V2X-AD) has a huge potential to provide a safer driving solution. Despite extensive researches in transportation and communication t…

cs.LG2024★ 1 cited

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning

Shuo Tang, Rui Ye, Chenxin Xu +3

Decentralized and lifelong-adaptive multi-agent collaborative learning aims to enhance collaboration among multiple agents without a central server, with each agent solving varied…

cs.CV2024

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

Yuxi Wei, Zi Wang, Yifan Lu +5

Scene simulation in autonomous driving has gained significant attention because of its huge potential for generating customized data. However, existing editable scene simulation ap…

cs.CV2024

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang +3

Learning the dense bird's eye view (BEV) motion flow in a self-supervised manner is an emerging research for robotics and autonomous driving. Current self-supervised methods mainly…