2 citations · 6 across the 11 of their papers we have counts for
5 papers · 1 filter
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction
Pufan Zou, Shijia Zhao, Weijie Huang +4
Recently, Visual Foundation Models (VFMs) have shown a remarkable generalization performance in 3D perception tasks. However, their effectiveness in large-scale outdoor datasets re…
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Xun Huang, Jinlong Wang, Qiming Xia +5
Current Vehicle-to-Everything (V2X) systems have significantly enhanced 3D object detection using LiDAR and camera data. However, these methods suffer from performance degradation…
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
Xun Huang, Ziyu Xu, Hai Wu +7
LiDAR-based vision systems are integral for 3D object detection, which is crucial for autonomous navigation. However, they suffer from performance degradation in adverse weather co…
Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
Hai Wu, Shijia Zhao, Xun Huang +3
The prevalent approaches of unsupervised 3D object detection follow cluster-based pseudo-label generation and iterative self-training processes. However, the challenge arises due t…
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
Xun Huang, Hai Wu, Xin Li +3
LiDAR-based 3D object detection models have traditionally struggled under rainy conditions due to the degraded and noisy scanning signals. Previous research has attempted to addres…