44 citations · 69 across the 21 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 1 cited
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…
cs.CV2020★ 3 cited
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…
cs.CV2020★ 12 cited
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…