44 citations · 61 across the 5 of their papers we have counts for
6 papers
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Sanqing Qu, Guang Chen, Zhijun Li +3
Weakly-supervised temporal action localization aims to localize action instances temporal boundary and identify the corresponding action category with only video-level labels. Trad…
PointINet: Point Cloud Frame Interpolation Network
Fan Lu, Guang Chen, Sanqing Qu +3
LiDAR point cloud streams are usually sparse in time dimension, which is limited by hardware performance. Generally, the frame rates of mechanical LiDAR sensors are 10 to 20 Hz, wh…
MoNet: Motion-based Point Cloud Prediction Network
Fan Lu, Guang Chen, Yinlong Liu +3
Predicting the future can significantly improve the safety of intelligent vehicles, which is a key component in autonomous driving. 3D point clouds accurately model 3D information…
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
Sanqing Qu, Guang Chen, Dan Xu +3
Online action detection is a task with the aim of identifying ongoing actions from streaming videos without any side information or access to future frames. Recent methods proposed…
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Fan Lu, Guang Chen, Yinlong Liu +2
Keypoint detector and descriptor are two main components of point cloud registration. Previous learning-based keypoint detectors rely on saliency estimation for each point or farth…
An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR
Sanqing Qu, Guang Chen, Canbo Ye +4
Detecting vehicles with strong robustness and high efficiency has become one of the key capabilities of fully autonomous driving cars. This topic has already been widely studied by…