191 citations · 332 across the 5 of their papers we have counts for
5 papers
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
Zhe Liu, Xiaoqing Ye, Xiao Tan +2
In this paper, we propose a cross-modal distillation method named StereoDistill to narrow the gap between the stereo and LiDAR-based approaches via distilling the stereo detectors…
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
Silin Cheng, Xiwu Chen, Xinwei He +2
Learning intra-region contexts and inter-region relations are two effective strategies to strengthen feature representations for point cloud analysis. However, unifying the two str…
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
Tengteng Huang, Zhe Liu, Xiwu Chen +1
In this paper, we aim at addressing two critical issues in the 3D detection task, including the exploitation of multiple sensors~(namely LiDAR point cloud and camera image), as wel…
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
Zhe Liu, Xin Zhao, Tengteng Huang +3
In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches. We observe two crucial pheno…
3D Object Detection Using Scale Invariant and Feature Reweighting Networks
Xin Zhao, Zhe Liu, Ruolan Hu +1
3D object detection plays an important role in a large number of real-world applications. It requires us to estimate the localizations and the orientations of 3D objects in real sc…