104 citations · 138 across the 8 of their papers we have counts for
8 papers
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…
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo +38
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual…
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…