49 citations · 188 across the 17 of their papers we have counts for
6 papers · 1 filter
Multi-modal Visual Tracking: Review and Experimental Comparison
Pengyu Zhang, Dong Wang, Huchuan Lu
Visual object tracking, as a fundamental task in computer vision, has drawn much attention in recent years. To extend trackers to a wider range of applications, researchers have in…
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
Bin Yan, Xinyu Zhang, Dong Wang +2
Visual object tracking aims to precisely estimate the bounding box for the given target, which is a challenging problem due to factors such as deformation and occlusion. Many recen…
Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking
Pengyu Zhang, Jie Zhao, Dong Wang +2
In this study, we propose a novel RGB-T tracking framework by jointly modeling both appearance and motion cues. First, to obtain a robust appearance model, we develop a novel late…
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
Bin Yan, Dong Wang, Huchuan Lu +1
In recent years, the multiple-stage strategy has become a popular trend for visual tracking. This strategy first utilizes a base tracker to coarsely locate the target and then expl…
High-Performance Long-Term Tracking with Meta-Updater
Kenan Dai, Yunhua Zhang, Dong Wang +3
Long-term visual tracking has drawn increasing attention because it is much closer to practical applications than short-term tracking. Most top-ranked long-term trackers adopt the…
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises
Bin Yan, Dong Wang, Huchuan Lu +1
Adversarial attack of CNN aims at deceiving models to misbehave by adding imperceptible perturbations to images. This feature facilitates to understand neural networks deeply and t…