Huan Liu

Orcid: 0000-0001-7155-3663

Affiliations:
  • McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada


According to our database1, Huan Liu authored at least 20 papers between 2019 and 2023.

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

Timeline

Legend:

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Bibliography

2023
FDCT: Fast Depth Completion for Transparent Objects.
IEEE Robotics Autom. Lett., September, 2023

Fast Human Pose Estimation in Compressed Videos.
IEEE Trans. Multim., 2023

Meta-Auxiliary Learning for Future Depth Prediction in Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport.
IEEE J. Sel. Areas Inf. Theory, September, 2022

Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing.
Inf., 2022

Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022.
CoRR, 2022

Lossy Compression with Distribution Shift as Entropy Constrained Optimal Transport.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay.
Proceedings of the Computer Vision, 2022

Towards Multi-domain Single Image Dehazing via Test-time Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network.
CoRR, 2021

Indirect Domain Shift for Single Image Dehazing.
IEEE Access, 2021

A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019
Image Retrieval via Canonical Correlation Analysis.
Proceedings of the 16th Canadian Workshop on Information Theory, 2019


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