15 citations · 25 across the 4 of their papers we have counts for
4 papers
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Zhenbo Xu, Wei Zhang, Xiao Tan +5
Current multi-object tracking and segmentation (MOTS) methods follow the tracking-by-detection paradigm and adopt convolutions for feature extraction. However, as affected by the i…
PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
Zhenbo Xu, Wei Zhang, Xiao Tan +7
Multiple-object tracking and segmentation (MOTS) is a novel computer vision task that aims to jointly perform multiple object tracking (MOT) and instance segmentation. In this work…
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
Liang Du, Xiaoqing Ye, Xiao Tan +4
Object detection from 3D point clouds remains a challenging task, though recent studies pushed the envelope with the deep learning techniques. Owing to the severe spatial occlusion…
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
Zhenbo Xu, Wei Zhang, Xiaoqing Ye +6
3D object detection is an essential task in autonomous driving and robotics. Though great progress has been made, challenges remain in estimating 3D pose for distant and occluded o…