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Qinghao Meng

2 accepted papers

2020

A Unified Object Motion and Affinity Model for Online Multi-Object Tracking

CVPR 2020poster

Current popular online multi-object tracking (MOT) solutions apply single object trackers (SOTs) to capture object motions, while often requiring an extra affinity network to associate objects, especially for the occluded ones. This brings extra computational overhead due to repetitive feature extra…

Cited by 139PDFcodeScholar
2020

Weakly Supervised 3D Object Detection from Lidar Point Cloud

ECCV 2020poster

It is laborious to manually label point cloud data for training high-quality 3D object detectors. This work proposes a weakly supervised approach for 3D object detection, only requiring a small set of weakly annotated scenes, associated with a few precisely labeled object instances. This is achieved…