Kaige Mao

2 accepted papers

2023

Joint Visual Grounding and Tracking With Natural Language Specification

Li Zhou, Zikun Zhou, Kaige Mao, Zhenyu He

CVPR 2023poster

Tracking by natural language specification aims to locate the referred target in a sequence based on the natural language description. Existing algorithms solve this issue in two steps, visual grounding and tracking, and accordingly deploy the separated grounding model and tracking model to implemen…

Cited by 96 Source ↗PDF ↗code ↗Scholar ↗

2022

Global Tracking via Ensemble of Local Trackers

Zikun Zhou, Jianqiu Chen, Wenjie Pei, Kaige Mao, Hongpeng Wang, Zhenyu He

CVPR 2022poster

The crux of long-term tracking lies in the difficulty of tracking the target with discontinuous moving caused by out-of-view or occlusion. Existing long-term tracking methods follow two typical strategies. The first strategy employs a local tracker to perform smooth tracking and uses another re-dete…

Cited by 44 PDF ↗code ↗Scholar ↗