Hao Liu

Orcid: 0000-0003-0954-5405

Affiliations:
  • Ningxia University, School of Information Engineering, Yinchuan, China
  • Tsinghua University, Department of Automation, Beijing, China (PhD 2018)


According to our database1, Hao Liu authored at least 29 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
HeadDiff: Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation.
IEEE Trans. Image Process., 2024

Consensus-Agent Deep Reinforcement Learning for Face Aging.
IEEE Trans. Image Process., 2024

2023
Siamese Graph Learning for Semi-Supervised Age Estimation.
IEEE Trans. Multim., 2023

Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation.
IEEE Trans. Inf. Forensics Secur., 2023

2022
Meta Descent Learning for Class Imbalanced Age Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Remote Sensing Image Super-Resolution Based on Dense Channel Attention Network.
Remote. Sens., 2021

Geometry-attentive relational reasoning for robust facial landmark detection.
Neurocomputing, 2021

Non-local Network Routing for Perceptual Image Super-Resolution.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Exploiting Invariance of Mining Facial Landmarks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Open Set Face Anti-Spoofing in Unseen Attacks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Occlusion Contrasts for Self-Supervised Facial Age Estimation.
Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

PML: Progressive Margin Loss for Long-Tailed Age Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Similarity-Aware and Variational Deep Adversarial Learning for Robust Facial Age Estimation.
IEEE Trans. Multim., 2020

Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos.
Pattern Recognit., 2020

Learning Reasoning-Decision Networks for Robust Face Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Network Architecture Reasoning Via Deep Deterministic Policy Gradient.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Learning Neighborhood-Reasoning Label Distribution (NRLD) for Facial Age Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Ordinal Deep Learning for Facial Age Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2019

Dual-Cycle Deep Reinforcement Learning for Stabilizing Face Tracking.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Similarity-Aware Deep Adversarial Learning for Facial Age Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Multi-Agent Deep Collaboration Learning for Face Alignment Under Different Perspectives.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Deformable Hourglass Networks (DHGN) for Unconstrained Face Alignment.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Label-Sensitive Deep Metric Learning for Facial Age Estimation.
IEEE Trans. Inf. Forensics Secur., 2018

Two-Stream Transformer Networks for Video-Based Face Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017
Learning Deep Sharable and Structural Detectors for Face Alignment.
IEEE Trans. Image Process., 2017

Group-aware deep feature learning for facial age estimation.
Pattern Recognit., 2017

Ordinal Deep Feature Learning for Facial Age Estimation.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2015
Set-label modeling and deep metric learning on person re-identification.
Neurocomputing, 2015


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