37 citations · 58 across the 6 of their papers we have counts for
6 papers
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
Zhiheng Li, Yu Lin, Yubo Cui +2
3D single object tracking with LiDAR points is an important task in the computer vision field. Previous methods usually adopt the matching-based or motion-centric paradigms to esti…
MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking
Zhiheng Li, Yubo Cui, Yu Lin +1
3D single object tracking plays a crucial role in computer vision. Mainstream methods mainly rely on point clouds to achieve geometry matching between target template and search ar…
Multiple Object Tracking Challenge Technical Report for Team MT_IoT
Feng Yan, Zhiheng Li, Weixin Luo +4
This is a brief technical report of our proposed method for Multiple-Object Tracking (MOT) Challenge in Complex Environments. In this paper, we treat the MOT task as a two-stage ta…
SoccerNet 2022 Challenges Results
Silvio Giancola, Anthony Cioppa, Adrien Deliège +91
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…
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…
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Tianjiao Li, Jun Liu, Wei Zhang +3
Human behavior understanding with unmanned aerial vehicles (UAVs) is of great significance for a wide range of applications, which simultaneously brings an urgent demand of large,…