7 papers · 1 filter
Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables
Tao Wang, Yong Li, Jingyang Peng +4
Recently, deep learning-based image enhancement algorithms achieved state-of-the-art (SOTA) performance on several publicly available datasets. However, most existing methods fail…
Learning Cascaded Siamese Networks for High Performance Visual Tracking
Peng Gao, Yipeng Ma, Ruyue Yuan +2
Visual tracking is one of the most challenging computer vision problems. In order to achieve high performance visual tracking in various negative scenarios, a novel cascaded Siames…
Siamese Attentional Keypoint Network for High Performance Visual Tracking
Peng Gao, Ruyue Yuan, Fei Wang +3
In this paper, we investigate the impacts of three main aspects of visual tracking, i.e., the backbone network, the attentional mechanism, and the detection component, and propose…
Efficient Multi-level Correlating for Visual Tracking
Yipeng Ma, Chun Yuan, Peng Gao +1
Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently. Nevertheless, the top performance trackers always employ complicated optimizatio…
High Performance Visual Tracking with Circular and Structural Operators
Peng Gao, Yipeng Ma, Ke Song +4
In this paper, a novel circular and structural operator tracker (CSOT) is proposed for high performance visual tracking, it not only possesses the powerful discriminative capabilit…
A Complementary Tracking Model with Multiple Features
Peng Gao, Yipeng Ma, Chao Li +3
Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness.…