10 citations · 10 across the 3 of their papers we have counts for
7 papers
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…
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…
ROI Pooled Correlation Filters for Visual Tracking
Yuxuan Sun, Chong Sun, Dong Wang +2
The ROI (region-of-interest) based pooling method performs pooling operations on the cropped ROI regions for various samples and has shown great success in the object detection met…
GradNet: Gradient-Guided Network for Visual Object Tracking
Peixia Li, Boyu Chen, Wanli Ouyang +3
The fully-convolutional siamese network based on template matching has shown great potentials in visual tracking. During testing, the template is fixed with the initial target feat…
'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking
Bin Yan, Haojie Zhao, Dong Wang +2
Compared with traditional short-term tracking, long-term tracking poses more challenges and is much closer to realistic applications. However, few works have been done and their pe…