Yunfan Liu – Papers & Projects

Recent Projects

 

A Survey on GAN-based Facial Attribute Manipulation
Yunfan Liu, Qi Li, Qiyao Deng, Zhenan Sun, Ming-Hsuan Yang
GAN-based Facial Attribute Manipulation
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

 

One-shot Face Reenactment
Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan
Semantic-aware One-shot Face Re-enactment with Dense Correspondence Estimation
Accepted by Machine Intelligence Research (MIR), 2023
[Paper]

 

Spatially Distangled Facial Attribute Editing on HR Images using Pre-trained StyleGANs
Yunfan Liu, Qi Li, Qiyao Deng, Zhenan Sun
Towards Spatially Disentangled Manipulation of Face Images With Pre-Trained StyleGANs
In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 33, no. 4, pp. 1725-1739, 2023.
[Paper]

 

Face Aging with Attribute-Aware Attentive GANs
Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan
A3GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging
In IEEE Transactions on Information Forensics and Security (TIFS), vol. 16, pp. 2776-2790, 2021.
[Paper]

 

Age Synthesis based on Spatial Attention Modules
Qi Li*, Yunfan Liu*, Zhenan Sun
Age Progression and Regression with Spatial Attention Modules
In the AAAI Conference on Artificial Intelligence (AAAI, Oral), pp. 11378-11385, 2020.
[Paper]

 

Attribute-aware Face Aging with Wavelet-based GANs
Yunfan Liu*, Qi Li*, Zhenan Sun
Attribute-aware Face Aging with Wavelet-based Generative Adversarial Networks
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11878-11886, 2019.
[Paper]

Past Projects

 

Learning to Detect Humans-Objects Interactions
Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng
Learning to Detect Human-Object Interactions
In IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 381-389, 2018.
[Project Details][Paper]

 

Video Analysis of Skill and Technique (VAST)
Conference accepted: American Urological Association Annual Meeting (AUA 2017)
Implemented a system to track the movement of the surgical instruments in surgery videos
and assess the technical skill of the surgeon based on the tracking result.
[Project Details]

 

Facial Expression Recognition and Generation using Sparse Autoencoder
Yunfan Liu, Xueshi Hou, Jiansheng Chen, et al.
Facial Expression Recognition and Generation using Sparse Autoencoder
In IEEE International Conference on Smart Computing (SMARTCOMP), pp. 125-130, 2014.
[Paper]