no code implementations • CVPR 2021 • Zhidong Liang, Zehan Zhang, Ming Zhang, Xian Zhao, ShiLiang Pu
Benefiting from the dense representation of the range image, RangeIoUDet is entirely constructed based on 2D convolution, making it possible to have a fast inference speed.
no code implementations • 23 Sep 2020 • Zehan Zhang, Ming Zhang, Zhidong Liang, Xian Zhao, Ming Yang, Wenming Tan, ShiLiang Pu
Experimental results on the KITTI dataset demonstrate significant improvement in filtering false positive over the approach using only point cloud data.
1 code implementation • 1 Sep 2020 • Zhidong Liang, Ming Zhang, Zehan Zhang, Xian Zhao, ShiLiang Pu
We present RangeRCNN, a novel and effective 3D object detection framework based on the range image representation.
no code implementations • 14 Feb 2019 • Zhidong Liang, Ming Yang, Chunxiang Wang
As a result, our framework can output both the semantic prediction and the instance prediction.
3D Instance Segmentation 3D Semantic Instance Segmentation +2