Kai Zhao, Ph.D.

Postdoctoral Researcher @UCLA

kaizhao.net kzkaizhao.net +1---

Google Scholar: https://kaizhao.net/scholar

I'm currently a postdoctoral researcher at UCLA working with prof Kyung Hyun Sung on medical image analysis. I received my Ph.D from Nankai University in 2020, under the supervision of prof. Ming-ming Cheng. Before that, I spent 7 wonderful years in Shanghai University where I got my BS and MS in 2014 and 2017, respectively, under the supervision of Dr. Wei Shen (now assistant professor at Shanghai Jiaotong Univ).

My research interests lie in the intersection of Computer Vision and Statistical Learning, which aim at creating intelligent algorithms to mimic the human visual system. I co-authored 20+ research papers on top-tier conferences and journals in the field of AI and computer vision, with 2,200+ citations on google scholar. My research on palmprint recognition was covered by MIT technology review. I'm an active contributor to open-source projects such as PyTorch and mmdetection.

Research Interests

Medical Image Analysis, Computer Vision, Machine Learning.

Education

2017~2020, Nankai University, Tianjin, China, Ph.D in CS
2014~2017, Shanghai University, Shanghai, China. MS in EE
2010~2014, Shanghai University, Shanghai, China. BS in EE

Industrial Experiences

Nov 2020 ~ Feb 2022, Teencent Youtu Lab, Senior Researcher, Shanghai, China.
Sep 2018 ~ Dec 2018, Panasonic Research and Develop Center at Singapore, Research Intern, Singapore.
Mar 2016 ~ June 2016, Teencent Youtu Lab, Research Intern, Shanghai, China.

Contact:

10945 Le Conte Avenue, Los Angeles, CA 90024, USA.
kzkaizhao.net
https://orcid.org/0000-0002-2496-0829
https://scholar.google.com/citations?user=zR5JbZUAAAAJ
@zeakey, @kaizhao

Publications

Kai Zhao, Xuehui Wang, Xingyu Chen, Ruixin Zhang, Wei Shen "Rethinking Mask Heads for Partially Supervised Instance Segmentation." Neurocomputing 2022 ( corresponding author)

pdf project page bibtex

@article{zhao2022rethinking,
    title={Rethinking Mask Heads for Partially Supervised Instance Segmentation},
    author={Zhao, Kai and Wang, Xuehui and Chen, Xingyu and Zhang, Ruixin and Shen, Wei},
    journal={Neurocomputing},
    doi={https://doi.org/10.1016/j.neucom.2022.10.003},
    year={2022},
    publisher={Elsevier}
}

Lei Shen, Yingyi Zhang, Kai Zhao, Ruixin Zhang, Wei Shen "Distribution Alignment for Cross-device Palmprint Recognition." Pattern Recognition 2022 ( corresponding author)

pdf project page bibtex

@article{shen2022distribution,
    author  = {Lei Shen, Yingyi Zhang, Kai Zhao, Ruixin Zhang, Wei Shen},
    title   = {Distribution Alignment for Cross-device Palmprint Recognition},
    journal = {Pattern Recognition},
    doi     = {https://doi.org/10.1016/j.patcog.2022.108942},
    pages   = {108942},
    year    = {2022},
    issn    = {0031-3203},
}

Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool "Video Polyp Segmentation: A Deep Learning Perspective."
arXiv
Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen. "ContrastMask: Contrastive Learning to Segment Every Thing." CVPR2022.
arXiv

Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang, Ruixin Zhang, Shouhong Ding, Wei Jia, Wei Shen. "BézierPalm: A Free lunch for Palmprint Recognition" ECCV2022.

pdf project page bibtex

@InProceedings{zhao2022bezier,
    author    = {Zhao, Kai and Shen, Lei and Zhang, Yingyi and Zhou Chuhan and Wang, Tao and Ruixin Zhang and Ding Shouhong and Jia, Wei and Shen, Wei},
    title     = {B\'{e}zier{P}alm: A Free lunch for Palmprint Recognition},
    booktitle = {European Conference on Computer Vision (ECCV)},
    month     = {Oct},
    year      = {2022},
    url       = {http://kaizhao.net/palmprint}
}

Kai Zhao^*, Qi Han^*, Chang-bin Zhang, Jun Xu, Mingg-Ming Cheng. "Deep Hough Transform for Semantic Line Detection." (* denotes equal contribution) IEEE TPAMI 2021.

pdf new dataset bibtex

@article{zhao2021deep,
    author    = {Kai Zhao and Qi Han and Chang-bin Zhang and Jun Xu and Ming-ming Cheng},
    title     = {Deep Hough Transform for Semantic Line Detection},
    journal   = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
    year      = {2021},
    doi       = {10.1109/TPAMI.2021.3077129}
}

Kai Zhao^*, Xin-Yu Zhang^*, Qi Han^*, Ming-Ming Cheng. "Dependency Aware Filter Pruning." (* denotes equal contribution)
arXiv
Qi Han^*, Kai Zhao^*, Jun Xu, Mingg-Ming Cheng. "Deep Hough Transform for Semantic Line Detection." (* denotes equal contribution) 2020 European Conference on Computer Vision (ECCV).
pdf
Xin-Yu Zhang^*, Kai Zhao^*, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang. "Structured sparsification with joint optimization of group convolution and channel shuffle." (* denotes equal contribution) UAI2021 [arXiv: 2002.08127]

Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng. "Optimizing the F-measure for Threshold-free Salient Object Detection." International conference on computer vision (ICCV), Seoul, Korea, 2019.

pdf project page bibtex

@InProceedings{zhao2019optimizing,
    author    = {Kai Zhao and Shanghua Gao and Wenguan Wang and Ming-ming Cheng},
    title     = {Optimizing the {F}-measure for Threshold-free Salient Object Detection},
    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
    pages     = {8849-8857},
    month     = {Oct},
    year      = {2019},
    url       = {http://kaizhao.net/fmeasure}
}

Kai Zhao, Jingyi Xu, Ming-Ming Cheng. "RegularFace: Deep Face Recognition via Exclusive Regularization." IEEE conference on Computer Vision and Patterm Recognition (CVPR), Long Beach, USA, 2019.

pdf project page bibtex

@InProceedings{zhao2019regularface,
    author = {Zhao, Kai and Xu, Jingyi and Cheng, Ming-Ming},
    title = {RegularFace: Deep Face Recognition via Exclusive Regularization},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages     = {1136-1144},
    month = {June},
    year = {2019}
}

Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng. "Hi-Fi: Hierarchical Feature Integration for Skeleton Detection." International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018.

pdf LaTeX Source project page bibtex

@inproceedings{zhao2018hifi,
    title     = {Hi-{F}i: Hierarchical Feature Integration for Skeleton Detection},
    author    = {Kai Zhao and Wei Shen and Shanghua Gao and Dandan Li and Ming-Ming Cheng},
    booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, {IJCAI-18}},
    publisher = {International Joint Conferences on Artificial Intelligence Organization},
    pages     = {1191--1197},
    year      = {2018},
    month     = {7},
    doi       = {10.24963/ijcai.2018/166},
    url       = {http://kaizhao.net/hifi},
}

Wei Shen, Kai Zhao, Yilu Guo, Alan Yuille. "Label Distribution Learning Forests." Proceedings of advances in neural information processing systems(NIPS), Long Beach, USA, 2017.

arXiv code bibtex

@InProceedings{shen2017label,
    title     = {Label Distribution Learning Forests},
    author    = {Shen, Wei and Zhao, Kai and Guo, Yilu and Yuille, Alan},
    booktitle = {Proceedings of Advances in neural information processing systems},
    year      = {2017},
    url       = {http://kaizhao.net/ldlf},
}

Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai. "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs." Proceddings of the 29th IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Las Vegas, USA, 2016.

arXiv code bibtex

@InProceedings{shen2016object,
    title={Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs},
    author={Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Zhang, Zhijiang and Bai, Xiang},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    year={2016},
    pages={222-230},
    publisher={IEEE},
    howpublished = "\url{http://kaizhao.net/deepsk}"
}

Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr. "Res2Net: A New Multi-scale Backbone Architecture." (IEEE Trans on Pattern Analysis and Machine Intelligence, 2019) [project page ] [code ]
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille "Deep Differentiable Random Forests for Age Estimation." (IEEE Trans on Pattern Analysis and Machine Intelligence, 2019)

Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille. "DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images." (IEEE Trans on Image Processing, 2017)

arXiv project page SK-LARGE dataset bibtex

@article{shen2017deepskeleton,
    title={DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images},
    author={Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Bai, Xiang and Yuille, Alan},
    journal={IEEE Transactions on Image Processing},
    volume={26},
    number={11},
    pages={5298-5311},
    year={2017},
    publisher={IEEE},
    howpublished = "\url{http://kaizhao.net/deepsk}"
}