Bo Liu

Orcid: 0000-0003-0944-4700

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China


According to our database1, Bo Liu authored at least 12 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
HardBoost: Boosting Zero-Shot Learning with Hard Classes.
CoRR, 2022

Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
An Iterative Co-Training Transductive Framework for Zero Shot Learning.
IEEE Trans. Image Process., 2021

Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector.
Knowl. Based Syst., 2021

SCSS-Net: Superpoint Constrained Semi-supervised Segmentation Network for 3D Indoor Scenes.
CoRR, 2021

Segmenting 3D Hybrid Scenes via Zero-Shot Learning.
CoRR, 2021

Rotation Transformation Network: Learning View-Invariant Point Cloud For Classification And Segmentation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN).
Frontiers Comput. Neurosci., 2020

Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN).
CoRR, 2019

2017
Comparison of IT Neural Response Statistics with Simulations.
Frontiers Comput. Neurosci., 2017


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