9 citations · 14 across the 5 of their papers we have counts for
5 papers
RTracker: Recoverable Tracking via PN Tree Structured Memory
Yuqing Huang, Xin Li, Zikun Zhou +3
Existing tracking methods mainly focus on learning better target representation or developing more robust prediction models to improve tracking performance. While tracking performa…
Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation
Zikun Zhou, Shukun Wu, Guoqing Zhu +2
RGB-Thermal (RGB-T) semantic segmentation has shown great potential in handling low-light conditions where RGB-based segmentation is hindered by poor RGB imaging quality. The key t…
Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection
Chao Tian, Zikun Zhou, Yuqing Huang +2
RGB-Thermal (RGB-T) pedestrian detection aims to locate the pedestrians in RGB-T image pairs to exploit the complementation between the two modalities for improving detection robus…
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…
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…