most citedSiamese Attentional Keypoint Network for High Performance Visual Tracking

104 citations · 248 across the 13 of their papers we have counts for

collaborators

13 papers

cs.RO2019

Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming

Zhencai Hu, Peng Gao, Fei Wang

Unmanned aircraft systems can perform some more dangerous and difficult missions than manned aircraft systems. In some highly complicated and changeable tasks, such as air combat,…

cs.CV2019★ 99 cited

Learning Reinforced Attentional Representation for End-to-End Visual Tracking

Peng Gao, Qiquan Zhang, Fei Wang +3

Although numerous recent tracking approaches have made tremendous advances in the last decade, achieving high-performance visual tracking remains a challenge. In this paper, we pro…

cs.CV2019★ 4 cited

Joint Multi-frame Detection and Segmentation for Multi-cell Tracking

Zibin Zhou, Fei Wang, Wenjuan Xi +3

Tracking living cells in video sequence is difficult, because of cell morphology and high similarities between cells. Tracking-by-detection methods are widely used in multi-cell tr…

cs.CV2019

FPGA-based Binocular Image Feature Extraction and Matching System

Qi Ni, Fei Wang, Ziwei Zhao +1

Image feature extraction and matching is a fundamental but computation intensive task in machine vision. This paper proposes a novel FPGA-based embedded system to accelerate featur…

cs.CV2019

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…

cs.CV2019★ 104 cited

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…

cs.CV2018

FPGA-based Acceleration System for Visual Tracking

Ke Song, Chun Yuan, Peng Gao +1

Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-tim…

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★ 4 cited

A Novel Parallel Ray-Casting Algorithm

Yan Zhang, Peng Gao, Xiao-Qing Li

The Ray-Casting algorithm is an important method for fast real-time surface display from 3D medical images. Based on the Ray-Casting algorithm, a novel parallel Ray-Casting algorit…

cs.CV2018★ 3 cited

A Novel Low-cost FPGA-based Real-time Object Tracking System

Peng Gao, Ruyue Yuan, Zhicong Lin +2

In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power. Therefore, in…

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.…

cs.CV2018★ 5 cited

Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking

Peng Gao, Yipeng Ma, Ke Song +3

Compared with visible object tracking, thermal infrared (TIR) object tracking can track an arbitrary target in total darkness since it cannot be influenced by illumination variatio…