142 citations · 605 across the 25 of their papers we have counts for
29 papers
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
Jinyu Li, Chenxu Luo, Xiaodong Yang
In order to deal with the sparse and unstructured raw point clouds, LiDAR based 3D object detection research mostly focuses on designing dedicated local point aggregators for fine-…
SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes
Jie Wang, Yuzhou Peng, Xiaodong Yang +2
The SportsMOT dataset aims to solve multiple object tracking of athletes in different sports scenes such as basketball or soccer. The dataset is challenging because of the unstable…
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving
Danfeng Wang, Xin Ma, Xiaodong Yang
Traffic light recognition, as a critical component of the perception module of self-driving vehicles, plays a vital role in the intelligent transportation systems. The prevalent de…
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond
Yue Yao, Liang Zheng, Xiaodong Yang +2
This article aims to use graphic engines to simulate a large number of training data that have free annotations and possibly strongly resemble to real-world data. Between synthetic…
Learning Intrinsic Images for Clothing
Kuo Jiang, Zian Wang, Xiaodong Yang
Reconstruction of human clothing is an important task and often relies on intrinsic image decomposition. With a lack of domain-specific data and coarse evaluation metrics, existing…
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
Chenxu Luo, Xiaodong Yang, Alan Yuille
3D multi-object tracking in LiDAR point clouds is a key ingredient for self-driving vehicles. Existing methods are predominantly based on the tracking-by-detection pipeline and ine…