most citedLiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking

Yining Shi, Jingyan Shen, Yifan Sun +5

Detection and tracking of moving objects is an essential component in environmental perception for autonomous driving. In the flourishing field of multi-view 3D camera-based detect…

cs.CV2022★ 1 cited

SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking

Jiaxin Li, Yan Ding, Hualiang Wei

Joint detection and embedding (JDE) based methods usually estimate bounding boxes and embedding features of objects with a single network in Multi-Object Tracking (MOT). In the tra…

cs.CV2022★ 2 cited

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

Yi Wei, Zibu Wei, Yongming Rao +3

In this paper, we propose the LiDAR Distillation to bridge the domain gap induced by different LiDAR beams for 3D object detection. In many real-world applications, the LiDAR point…

cs.CV2021

A Structure Feature Algorithm for Multi-modal Forearm Registration

Jiaxin Li, Yan Ding, Weizhong Zhang +3

Augmented reality technology based on image registration is becoming increasingly popular for the convenience of pre-surgery preparation and medical education. This paper focuses o…

cs.CV2021

A Global to Local Double Embedding Method for Multi-person Pose Estimation

Yiming Xu, Jiaxin Li, Yiheng Peng +2

Multi-person pose estimation is a fundamental and challenging problem to many computer vision tasks. Most existing methods can be broadly categorized into two classes: top-down and…