6 citations · 9 across the 8 of their papers we have counts for
4 papers · 1 filter
HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection
Di Wu, Feng Yang, Benlian Xu +3
The application of vision-based multi-view environmental perception system has been increasingly recognized in autonomous driving technology, especially the BEV-based models. Curre…
FastTrackTr:Towards Fast Multi-Object Tracking with Transformers
Pan Liao, Feng Yang, Di Wu +3
Transformer-based multi-object tracking (MOT) methods have captured the attention of many researchers in recent years. However, these models often suffer from slow inference speeds…
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving
Di Wu, Feng Yang, Benlian Xu +2
With the rapid advancement of autonomous driving technology, there is a growing need for enhanced safety and efficiency in the automatic environmental perception of vehicles during…
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector
Pan Liao, Feng Yang, Di Wu +2
Monocular 3D object detection has vast application potential across various fields. DETR-type models have shown remarkable performance in different areas, but there is still consid…