most citedJoint Multi-frame Detection and Segmentation for Multi-cell Tracking

4 citations · 4 across the 3 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

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.CV20194 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

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…