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Kaige Mao

3 papers hereh-index 3179 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedJoint Visual Grounding and Tracking with Natural Language Specification

9 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 1 cited

Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation

Zikun Zhou, Kaige Mao, Wenjie Pei +3

This paper aims to solve the video object segmentation (VOS) task in a scribble-supervised manner, in which VOS models are not only trained by the sparse scribble annotations but a…

cs.CV2023★ 9 cited

Joint Visual Grounding and Tracking with Natural Language Specification

Li Zhou, Zikun Zhou, Kaige Mao +1

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 s…

cs.CV2022

Global Tracking via Ensemble of Local Trackers

Zikun Zhou, Jianqiu Chen, Wenjie Pei +3

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 follo…

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