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20232026
most citedV2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions

2 citations · 7 across the 12 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026★ 1 cited

DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment

Wuqi Wang, Haochen Yang, Baolu Li +7

The low-light conditions are challenging to the vision-centric perception systems for autonomous driving in the dark environment. In this paper, we propose a new benchmark dataset…

cs.CV2025

Advancing from Automated to Autonomous Beamline by Leveraging Computer Vision

Baolu Li, Hongkai Yu, Huiming Sun +4

The synchrotron light source, a cutting-edge large-scale user facility, requires autonomous synchrotron beamline operations, a crucial technique that should enable experiments to b…

cs.CV2025

V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception

Baolu Li, Zongzhe Xu, Jinlong Li +4

LiDAR-based Vehicle-to-Everything (V2X) cooperative perception has demonstrated its impact on the safety and effectiveness of autonomous driving. Since current cooperative percepti…

cs.CV2024★ 1 cited

CoMamba: Real-time Cooperative Perception Unlocked with State Space Models

Jinlong Li, Xinyu Liu, Baolu Li +4

Cooperative perception systems play a vital role in enhancing the safety and efficiency of vehicular autonomy. Although recent studies have highlighted the efficacy of vehicle-to-e…

cs.CV2024★ 2 cited

Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving

Jinlong Li, Baolu Li, Zhengzhong Tu +5

Vision-centric perception systems for autonomous driving have gained considerable attention recently due to their cost-effectiveness and scalability, especially compared to LiDAR-b…

cs.CV2024★ 2 cited

V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions

Baolu Li, Jinlong Li, Xinyu Liu +5

Current LiDAR-based Vehicle-to-Everything (V2X) multi-agent perception systems have shown the significant success on 3D object detection. While these models perform well in the tra…

cs.CV2024

EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV

Huiming Sun, Jiacheng Guo, Zibo Meng +4

Vehicle detection in Unmanned Aerial Vehicle (UAV) captured images has wide applications in aerial photography and remote sensing. There are many public benchmark datasets proposed…

cs.CV2024★ 1 cited

Abductive Ego-View Accident Video Understanding for Safe Driving Perception

Jianwu Fang, Lei-lei Li, Junfei Zhou +5

We present MM-AU, a novel dataset for Multi-Modal Accident video Understanding. MM-AU contains 11,727 in-the-wild ego-view accident videos, each with temporally aligned text descri…

cs.CV2024

Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources

Jinlong Li, Baolu Li, Xinyu Liu +3

The diverse agents in multi-agent perception systems may be from different companies. Each company might use the identical classic neural network architecture based encoder for fea…

cs.CV2024

AdvGPS: Adversarial GPS for Multi-Agent Perception Attack

Jinlong Li, Baolu Li, Xinyu Liu +4

The multi-agent perception system collects visual data from sensors located on various agents and leverages their relative poses determined by GPS signals to effectively fuse infor…

cs.CV2023

VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification

Baolu Li, Ping Liu, Lan Fu +4

Vehicle Re-identification (Re-ID) has been broadly studied in the last decade; however, the different camera view angle leading to confused discrimination in the feature subspace f…