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19992025
most citedResidual Attention Network for Image Classification

313 citations · 2.9k across the 155 of their papers we have counts for

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Showing 2018 · cs.CVShow all

8 papers · 2 filters

cs.CV2018

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…

cs.CV2018★ 21 cited

The Devil of Face Recognition is in the Noise

Fei Wang, Liren Chen, Cheng Li +4

The growing scale of face recognition datasets empowers us to train strong convolutional networks for face recognition. While a variety of architectures and loss functions have bee…

cs.CV2018★ 62 cited

Gated Fusion Network for Joint Image Deblurring and Super-Resolution

Xinyi Zhang, Hang Dong, Zhe Hu +3

Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution. If the input image contains degraded pi…

cs.CV2018★ 19 cited

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

Xi Sheryl Zhang, Lifang He, Kun Chen +3

Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens of millions of Americans. PD is highly progressive and heterogeneous. Quite a few…

cs.CV2018★ 27 cited

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…

cs.CV2018★ 2 cited

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.…