Yue Gao

Implicit Motion Function
Yue Gao, Jiahao Li, Lei Chu, Yan Lu
Computer Vision and Pattern Recognition (CVPR), 2024

pdf / supp / bibtex

  @article{gao2024imf,
  author    = {Gao, Yue and Li, Jiahao and Chu, Lei and Lu, Yan},
  title     = {Implicit Motion Function},
  journal   = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2024},
  }

High-Fidelity and Freely Controllable Talking Head Video Generation
Yue Gao, Yuan Zhou, Jinglu Wang, Xiao Li, Xiang Ming, Yan Lu
Computer Vision and Pattern Recognition (CVPR), 2023

arXiv / bibtex / website

@article{gao2023pechead,
  author    = {Gao, Yue and Zhou, Yuan and Wang, Jinglu and Li, Xiao and Ming, Xiang and Lu, Yan},
  title     = {High-Fidelity and Freely Controllable Talking Head Video Generation},
  journal   = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2023},
}

Learning to Prompt for Open-Vocabulary Object Detection With Vision-Language Model
Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li.
Computer Vision and Pattern Recognition (CVPR), 2022

arXiv / code / bibtex

@inproceedings{du2022learning,
  title={Learning to prompt for open-vocabulary object detection with vision-language model},
  author={Du, Yu and Wei, Fangyun and Zhang, Zihe and Shi, Miaojing and Gao, Yue and Li, Guoqi},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={14084--14093},
  year={2022}
}

Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei*, Yue Gao*, Zhirong Wu, Han Hu, Stephen Lin
(* Equal contribution)
Advances in Neural Information Processing Systems (NeurIPS, Spotlight), 2021

arXiv / code / bibtex

@article{wei2021aligning,
  title={Aligning Pretraining for Detection via Object-Level Contrastive Learning},
  author={Wei, Fangyun and Gao, Yue and Wu, Zhirong and Hu, Han and Lin, Stephen},
  journal={arXiv preprint arXiv:2106.02637},
  year={2021}
}

High-Fidelity and Arbitrary Face Editing
Yue Gao, Fangyun Wei, Jianmin Bao, Shuyang Gu, Dong Chen, Fang Wen, Zhouhui Lian†
(† Corresponding author)
Computer Vision and Pattern Recognition (CVPR), 2021

arXiv / website / bibtex

@inproceedings{gao2021hifaface,
  title={High-Fidelity and Arbitrary Face Editing},
  author={Gao, Yue and Wei, Fangyun and Bao, Jianmin and Gu, Shuyang and Chen, Dong and Wen, Fang and Lian, Zhouhui},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2021}
}

Attribute2Font: Creating Fonts You Want From Attributes
Yizhi Wang*, Yue Gao*, Zhouhui Lian†
(* Equal contribution, † Corresponding author)
SIGGRAPH, ACM Transactions on Graphics (TOG), 2020

arXiv / code / bibtex

@article{Wang2020Attribute2Font,
  title={Attribute2Font: creating fonts you want from attributes},
  author={Wang, Yizhi and Gao, Yue and Lian, Zhouhui},
  journal={ACM Transactions on Graphics (TOG)},
  volume={39},
  number={4},
  pages={69--1},
  year={2020},
  publisher={ACM New York, NY, USA}
}

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Yue Gao*, Yuan Guo*, Zhouhui Lian†, Yingmin Tang, Jianguo Xiao
(* Equal contribution, † Corresponding author)
SIGGRAPH Asia, ACM Transactions on Graphics (TOG), 2019

arXiv / code / bibtex

@article{Gao2019ArtisticGI,
  title={Artistic glyph image synthesis via one-stage few-shot learning},
  author={Gao, Yue and Guo, Yuan and Lian, Zhouhui and Tang, Yingmin and Xiao, Jianguo},
  journal={ACM Transactions on Graphics (TOG)},
  volume={38},
  number={6},
  pages={1--12},
  year={2019},
  publisher={ACM New York, NY, USA}
}

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