2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Co-Fix3D: Enhancing 3D Object Detection with Collaborative Refinement
Wenxuan Li, Qin Zou, Chi Chen +4
3D object detection in driving scenarios faces the challenge of complex road environments, which can lead to the loss or incompleteness of key features, thereby affecting perceptio…
cs.CV2023★ 2 cited
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather
Jinlong Li, Runsheng Xu, Xinyu Liu +5
Typically, object detection methods for autonomous driving that rely on supervised learning make the assumption of a consistent feature distribution between the training and testin…
cs.CV2022★ 1 cited
Bridging the Domain Gap for Multi-Agent Perception
Runsheng Xu, Jinlong Li, Xiaoyu Dong +2
Existing multi-agent perception algorithms usually select to share deep neural features extracted from raw sensing data between agents, achieving a trade-off between accuracy and c…