300 citations · 1.3k across the 36 of their papers we have counts for
4 papers · 1 filter
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning
Xiao Wang, Tao Sun, Rui Yang +3
Incorporating various modes of information into the machine learning procedure is becoming a new trend. And data from various source can provide more information than single one no…
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
Xiao Wang, Chenglong Li, Rui Yang +3
The tracking-by-detection framework requires a set of positive and negative training samples to learn robust tracking models for precise localization of target objects. However, ex…
FANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking
Yabin Zhu, Chenglong Li, Bin Luo +1
This paper investigates how to perform robust visual tracking in adverse and challenging conditions using complementary visual and thermal infrared data (RGBT tracking). We propose…
RGB-T Object Tracking:Benchmark and Baseline
Chenglong Li, Xinyan Liang, Yijuan Lu +2
RGB-Thermal (RGB-T) object tracking receives more and more attention due to the strongly complementary benefits of thermal information to visible data. However, RGB-T research is l…