Zetao Chen

According to our database, Zetao Chen authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Research and implementation of adaptive stereo matching algorithm based on ZYNQ.

Yong Liang, Daoqian Lin, Zetao Chen, Yan Zhi, Junwen Tan, Zhenhao Yang, Jie Li

J. Real Time Image Process., April, 2024

Research on Convolutional Neural Network Inference Acceleration and Performance Optimization for Edge Intelligence.

Yong Liang, Junwen Tan, Zhisong Xie, Zetao Chen, Daoqian Lin, Zhenhao Yang

Sensors, 2024

2023

Three-Dimension Attention Mechanism and Self-Supervised Pretext Task for Augmenting Few-Shot Learning.

Yong Liang, Zetao Chen, Daoqian Lin, Junwen Tan, Zhenhao Yang, Jie Li, Xinhai Li

IEEE Access, 2023

2020

A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes.

Ahmad Khaliq, Shoaib Ehsan, Zetao Chen, Michael Milford, Klaus D. McDonald-Maier

IEEE Trans. Robotics, 2020

Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies.

Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu

Multim. Tools Appl., 2020

Bio-inspired multi-scale fusion.

Stephen Hausler, Zetao Chen, Michael E. Hasselmo, Michael Milford

Biol. Cybern., 2020

Polsar Image Classification based on Optimal Feature and Convolution Neural Network.

Ping Han, Zetao Chen, Yishuang Wan, Zheng Cheng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Real-Time Wide-Baseline Place Recognition Using Depth Completion.

Fabiola Maffra, Lucas Teixeira, Zetao Chen, Margarita Chli

IEEE Robotics Autom. Lett., 2019

2018

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming.

Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart

Remote. Sens., 2018

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming.

Inkyu Sa, Zetao Chen, Marija Popovic, Raghav Khanna, Frank Liebisch, Juan I. Nieto, Roland Siegwart

IEEE Robotics Autom. Lett., 2018

Learning Context Flexible Attention Model for Long-Term Visual Place Recognition.

Zetao Chen, Lingqiao Liu, Inkyu Sa, Zongyuan Ge, Margarita Chli

IEEE Robotics Autom. Lett., 2018

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming.

Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart

CoRR, 2018

Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework.

Adam Jacobson, Zetao Chen, Michael Milford

Biol. Cybern., 2018

Viewpoint-Tolerant Place Recognition Combining 2D and 3D Information for UAV Navigation.

Fabiola Maffra, Zetao Chen, Margarita Chli

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Deep Descriptors With Scale-Aware Triplet Networks.

Michel Keller, Zetao Chen, Fabiola Maffra, Patrik Schmuck, Margarita Chli

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Biologically-inspired visual place recognition with adaptive multiple scales.

Chen Fan, Zetao Chen, Adam Jacobson, Xiaoping Hu, Michael Milford

Robotics Auton. Syst., 2017

Generative OpenMax for Multi-Class Open Set Classification.

ZongYuan Ge, Sergey Demyanov, Zetao Chen, Rahil Garnavi

CoRR, 2017

Only look once, mining distinctive landmarks from ConvNet for visual place recognition.

Zetao Chen, Fabiola Maffra, Inkyu Sa, Margarita Chli

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Deep learning features at scale for visual place recognition.

Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Loop-Closure Detection in Urban Scenes for Autonomous Robot Navigation.

Fabiola Maffra, Lucas Teixeira, Zetao Chen, Margarita Chli

Proceedings of the 2017 International Conference on 3D Vision, 2017

2015

Bio-inspired homogeneous multi-scale place recognition.

Zetao Chen, Stephanie M. Lowry, Adam Jacobson, Michael E. Hasselmo, Michael Milford

Neural Networks, 2015

Autonomous Multisensor Calibration and Closed-loop Fusion for SLAM.

Adam Jacobson, Zetao Chen, Michael Milford

J. Field Robotics, 2015

Online place recognition calibration for out-of-the-box SLAM.

Adam Jacobson, Zetao Chen, Michael Milford

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Distance metric learning for feature-agnostic place recognition.

Zetao Chen, Stephanie M. Lowry, Adam Jacobson, ZongYuan Ge, Michael Milford

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Fine-grained bird species recognition via hierarchical subset learning.

ZongYuan Ge, Chris McCool, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Convolutional Neural Network-based Place Recognition.

Zetao Chen, Obadiah Lam, Adam Jacobson, Michael Milford

CoRR, 2014

Multi-scale bio-inspired place recognition.

Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo, Michael Milford

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

RatSLAM: Using Models of Rodent Hippocampus for Robot Navigation and Beyond.

Michael Milford, Adam Jacobson, Zetao Chen, Gordon F. Wyeth

Proceedings of the Robotics Research, 2013

Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms.

Adam Jacobson, Zetao Chen, Michael Milford

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013