most citedPointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 1 cited

PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds

Sukai Wang, Yuxiang Sun, Chengju Liu +1

Recent machine learning-based multi-object tracking (MOT) frameworks are becoming popular for 3-D point clouds. Most traditional tracking approaches use filters (e.g., Kalman filte…

cs.CV2018

Focal Loss in 3D Object Detection

Peng Yun, Lei Tai, Yuan Wang +2

3D object detection is still an open problem in autonomous driving scenes. When recognizing and localizing key objects from sparse 3D inputs, autonomous vehicles suffer from a larg…