3 papers
cs.CV2019
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen, Lin Sun, Zhixin Wang +2
Accurate 3D object detection in LiDAR based point clouds suffers from the challenges of data sparsity and irregularities. Existing methods strive to organize the points regularly,…
cs.CV2019
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
Zhixin Wang, Kui Jia
In this work, we propose a novel method termed \emph{Frustum ConvNet (F-ConvNet)} for amodal 3D object detection from point clouds. Given 2D region proposals in an RGB image, our m…
cs.CV2018
Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network
Yabin Zhang, Kui Jia, Zhixin Wang
Fine-grained object categorization aims for distinguishing objects of subordinate categories that belong to the same entry-level object category. The task is challenging due to the…