Yang Liu

Affiliations:
  • Australian National University, Research School of Computer Science, Canberra, Australia
  • Data61-CSIRO, Canberra, Australia


According to our database1, Yang Liu authored at least 16 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated Images.
CoRR, 2023

Anonymization for Skeleton Action Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network.
Sensors, 2022

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns.
CoRR, 2022

ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark.
CoRR, 2022

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

DRT: A Lightweight Single Image Deraining Recursive Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Anonymization for Skeleton Action Recognition.
CoRR, 2021

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions.
CoRR, 2021

Leveraging Third-Order Features in Skeleton-Based Action Recognition.
CoRR, 2021

Classification Models for Medical Data with Interpretative Rules.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Skeletons on the Stairs: Are They Deceptive?
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Invertible Denoising Network: A Light Solution for Real Noise Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Emotion Recognition Through Observer's Physiological Signals.
CoRR, 2020

Are Deep Neural Architectures Losing Information? Invertibility is Indispensable.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

GradNet Image Denoising.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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