Junfei Xiao

I am a Computer Science Ph.D. student in CCVL research group at Johns Hopkins University, advised by Bloomberg Distinguished Professor Dr. Alan Yuille.

I received my M.S.E. degree in Computer Science from Johns Hopkins University. Before this, I got B.E. in Mechanical Engineering and Double Degree in Mathematics from Beihang University.

My current research interests are transfer learning with a focus on multi-domain/modal learning and weakly/semi/self-supervised learning in vision tasks.

CV  /  Google Scholar /  Github

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Publications

Label-Free Liver Tumor Segmentation
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jie-Neng Chen, Alan Yuille, Zongwei Zhou
CVPR, 2023

arXiv / code / bibtex
                  @article{hu2023labelfree,
                    title={Label-Free Liver Tumor Segmentation},
                    author={Hu, Qixin and Chen, Yixiong and Xiao, Junfei  and Sun, Shuwen and Chen, Jie-Neng and Yuille, Alan and Zhou, Zongwei},
                    journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
                    year={2022}
                  }

Masked Autoencoders Enable Efficient Knowledge Distillers
Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan Yuille, Yuyin Zhou, Cihang Xie
CVPR, 2023

arXiv / code / bibtex
                  @article{bai2022masked,
                    title={Masked autoencoders enable efficient knowledge distillers},
                    author={Bai, Yutong and Wang, Zeyu and Xiao, Junfei and Wei, Chen and Wang, Huiyu and Yuille, Alan and Zhou, Yuyin and Xie, Cihang},
                    journal={arXiv preprint arXiv:2208.12256},
                    year={2022}
                  }

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao, Yutong Bai, Alan Yuille, Zongwei Zhou
WACV, 2023

arXiv / code / bibtex
@article{xiao2022delving,
  title={Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification},
  author={Xiao, Junfei and Bai, Yutong and Yuille, Alan and Zhou, Zongwei},
  journal={arXiv preprint arXiv:2210.12843},
  year={2022}
}

Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li
CVPR, 2022

arXiv / code / bibtex
@inproceedings{xiao2022learning,
  title={Learning from temporal gradient for semi-supervised action recognition},
  author={Xiao, Junfei and Jing, Longlong and Zhang, Lin and He, Ju and She, Qi and Zhou, Zongwei and Yuille, Alan and Li, Yingwei},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3252--3262},
  year={2022}
}

CateNorm: Categorical Normalization for Robust Medical Image Segmentation
Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan Yuille, Yuyin Zhou
MICCAI Workshop - Domain Adaptation and Representation Transfer , 2022
Best Paper Honorable Mention

arXiv / code / bibtex
@inproceedings{xiao2022catenorm,
  title={CateNorm: Categorical Normalization for Robust Medical Image Segmentation},
  author={Xiao, Junfei and Yu, Lequan and Zhou, Zongwei and Bai, Yutong and Xing, Lei and Yuille, Alan and Zhou, Yuyin},
  booktitle={MICCAI Workshop on Domain Adaptation and Representation Transfer},
  pages={129--146},
  year={2022},
  organization={Springer}
}

A bio-robotic remora disc with attachment and detachment capabilities for reversible underwater hitchhiking
Siqi Wang, Lei Li, Yufeng Chen, Yueping Wang, Wenguang Sun, Junfei Xiao, Dylan Wainwright, Tianmiao Wang, Robert J. Wood, Li Wen
ICRA, 2019

arXiv / bibtex
@inproceedings{wang2019bio,
  title={A bio-robotic remora disc with attachment and detachment capabilities for reversible underwater hitchhiking},
  author={Wang, Siqi and Li, Lei and Chen, Yufeng and Wang, Yueping and Sun, Wenguang and Xiao, Junfei and Wainwright, Dylan and Wang, Tianmiao and Wood, Robert J and Wen, Li},
  booktitle={2019 International Conference on Robotics and Automation (ICRA)},
  pages={4653--4659},
  year={2019},
  organization={IEEE}
}


Honors and Awards

1st Place in the Robust Vision Challenge - Semantic Segmentation Track



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