300 citations · 927 across the 29 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…
Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking
Bo Jiang, Doudou Lin, Bin Luo +1
Recently, weighted patch representation has been widely studied for alleviating the impact of background information included in bounding box to improve visual tracking results. Ho…