158 citations · 213 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
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…
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Jinlong Li, Runsheng Xu, Xinyu Liu +4
Deep learning has been widely used in the perception (e.g., 3D object detection) of intelligent vehicle driving. Due to the beneficial Vehicle-to-Vehicle (V2V) communication, the d…
Line Drawing Guided Progressive Inpainting of Mural Damage
Luxi Li, Qin Zou, Fan Zhang +6
Mural image inpainting is far less explored compared to its natural image counterpart and remains largely unsolved. Most existing image-inpainting methods tend to take the target i…
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Jianwu Fang, Chen Zhu, Pu Zhang +2
Heterogeneous trajectory forecasting is critical for intelligent transportation systems, but it is challenging because of the difficulty of modeling the complex interaction relatio…
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…