Van Luan Tran

Orcid: 0000-0001-8060-3036

According to our database1, Van Luan Tran authored at least 12 papers between 2016 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Multitask Deep Learning for Segmentation and Lumbosacral Spine Inspection.
IEEE Trans. Instrum. Meas., 2022

2021
Depth Measurement Based on Stereo Vision With Integrated Camera Rotation.
IEEE Trans. Instrum. Meas., 2021

Semantic Segmentation and 6DoF Pose Estimation using RGB-D Images and Deep Neural Networks.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

2020
Extending and Matching a High Dynamic Range Image from a Single Image.
Sensors, 2020

BiLuNet: A Multi-path Network for Semantic Segmentation on X-ray Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

3D Object Detection and 6D Pose Estimation Using RGB-D Images and Mask R-CNN.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

MBNet: A Multi-task Deep Neural Network for Semantic Segmentation and Lumbar Vertebra Inspection on X-Ray Images.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Incorporating Stereo with Convolutional Neural Networks for Real-Time Fish Detection and Classification.
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019

2018
Topological map construction and scene recognition for vehicle localization.
Auton. Robots, 2018

Real-Time Overtaking Vehicle Detection Based on Optical Flow and Convolutional Neural Network.
Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2018

Dynamic Range Extension and Matching from a Single LDR Image.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

2016
A 3D Recognition System with Local-Global Collaboration.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016


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