activity
20212025
most citedReal-time 3D Single Object Tracking with Transformer

65 citations · 107 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving

Muleilan Pei, Jiayao Shan, Peiliang Li +4

Online scene perception and topology reasoning are critical for autonomous vehicles to understand their driving environments, particularly for mapless driving systems that endeavor…

cs.CV2022

Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking

Yubo Cui, Jiayao Shan, Zuoxu Gu +2

3D single object tracking is a key task in 3D computer vision. However, the sparsity of point clouds makes it difficult to compute the similarity and locate the object, posing big…

cs.CV2022★ 65 cited

Real-time 3D Single Object Tracking with Transformer

Jiayao Shan, Sifan Zhou, Yubo Cui +1

LiDAR-based 3D single object tracking is a challenging issue in robotics and autonomous driving. Currently, existing approaches usually suffer from the problem that objects at long…

cs.CV2021★ 32 cited

3D Object Tracking with Transformer

Yubo Cui, Zheng Fang, Jiayao Shan +2

Feature fusion and similarity computation are two core problems in 3D object tracking, especially for object tracking using sparse and disordered point clouds. Feature fusion could…

cs.CV2021★ 10 cited

PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds

Jiayao Shan, Sifan Zhou, Zheng Fang +1

3D single object tracking is a key issue for robotics. In this paper, we propose a transformer module called Point-Track-Transformer (PTT) for point cloud-based 3D single object tr…