Yongkang Luo

Orcid: 0000-0003-0651-8794

Affiliations:

Chinese Academy of Sciences, Institute of Automation, Beijing, China

According to our database¹, Yongkang Luo authored at least 24 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

IPC-Net: Incomplete point cloud classification network based on data augmentation and similarity measurement.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., March, 2023

Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand.

[BibT_eX]

[DOI]

CoRR, 2023

2022

IRDCLNet: Instance Segmentation of Ship Images Based on Interference Reduction and Dynamic Contour Learning in Foggy Scenes.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

DVGG: Deep Variational Grasp Generation for Dextrous Manipulation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Global Mask R-CNN for marine ship instance segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

A Robust Deep Affinity Network for Multiple Ship Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

DVFENet: Dual-branch voxel feature extraction network for 3D object detection.

[BibT_eX]

[DOI]

Neurocomputing, 2021

POIS: Policy-Oriented Instance Segmentation for Ambidextrous Robot Picking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GPR: Grasp Pose Refinement Network for Cluttered Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

An integrated ship segmentation method based on discriminator and extractor.

[BibT_eX]

[DOI]

Image Vis. Comput., 2020

Deep Domain Adaptive Object Detection: a Survey.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Image-generation Enhanced Adaptation for Object Detection in Thermal images.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Domain Adaptive Object Detection: a Survey.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

Surface Defects Detection Based on Adaptive Multiscale Image Collection and Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2019

Fractal dimension based carotid plaque characterization from three-dimensional ultrasound images.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2019

Salient object detection based on an efficient End-to-End Saliency Regression Network.

[BibT_eX]

[DOI]

Neurocomputing, 2019

6D Object Pose Estimation using Few-Shot Instance Segmentation and 3D Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2018

An Incremental Multi-view Active Learning Algorithm for PolSAR Data Classification.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Adaptive probabilistic tracking with discriminative feature selection for mobile robot.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Recent advances on application of deep learning for recovering object pose.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Learning evaluation of ultrasound image segmentation using combined measures.

[BibT_eX]

[DOI]

Mengjie Fang

Yongkang Luo

Mingyue Ding

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015

Sparse-Distinctive Saliency Detection.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Yongkang Luo

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