Lei Fan

Orcid: 0000-0001-9426-7029

Affiliations:
  • Sun Yat-sen University, Guangzhou, China


According to our database1, Lei Fan authored at least 15 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Semasuperpixel: A Multi-Channel Probability-Driven Superpixel Segmentation Method.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
A Full Density Stereo Matching System Based on the Combination of CNNs and Slanted-Planes.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Toward the Ghosting Phenomenon in a Stereo-Based Map With a Collaborative RGB-D Repair.
IEEE Trans. Intell. Transp. Syst., 2020

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Collaborative Three-Dimensional Completion of Color and Depth in a Specified Area With Superpixels.
IEEE Trans. Ind. Electron., 2019

Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network.
CoRR, 2019

Monocular Outdoor Semantic Mapping with a Multi-task Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Planecell: Representing Structural Space with Plane Elements.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A New Feature Pyramid Network For Road Scene Segmentation.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Moving-Object Detection From Consecutive Stereo Pairs Using Slanted Plane Smoothing.
IEEE Trans. Intell. Transp. Syst., 2017

Let the robot tell: Describe car image with natural language via LSTM.
Pattern Recognit. Lett., 2017

Planecell: Representing the 3D Space with Planes.
CoRR, 2017

RGB-T SLAM: A flexible SLAM framework by combining appearance and thermal information.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
A novel and effective moving-objects detection method combined with stereo localization and mapping system.
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

3D map repair after moving objects removing.
Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016


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