Kai Zhao (赵凯), Ph.D.

Postdoctoral Researcher @UCLA

300 UCLA Medical Plaza, Suite B119, Los Angeles, CA 90095-7350.

kaizhao.net kzhaomednet.ucla.edu, kzkaizhao.net +1--- (text only)

Google Scholar: https://scholar.google.com/citations?user=zR5JbZUAAAAJ

Research Interests

Medical Image Analysis, Computer Vision, Machine Learning.

Education

Industrial Experiences

Contact:

Publications

  1. Lei Shen, Yingyi Zhang, Kai Zhao, Ruixin Zhang, Wei Shen "Distribution Alignment for Cross-device Palmprint Recognition." Pattern Recognition 2022 (: corresponding author)
    @article{shen2022distribution,
        author  = {Lei Shen, Yingyi Zhang, Kai Zhao, Ruixin Zhang, Wei Shen},
        title   = {Distribution Alignment for Cross-device Palmprint Recognition},
        journal = {Pattern Recognition},
        pages   = {108942},
        year    = {2022},
        issn    = {0031-3203},
        doi     = {https://doi.org/10.1016/j.patcog.2022.108942},
    }
  2. 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."
  3. Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen. "ContrastMask: Contrastive Learning to Segment Every Thing." CVPR2022.
  4. 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.
    @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}
    }
  5. 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.
    @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}
    }
    
  6. Kai Zhao*, Xin-Yu Zhang*, Qi Han*, Ming-Ming Cheng. "Dependency Aware Filter Pruning." (* denotes equal contribution)
  7. 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
  8. 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]
  9. 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.
    @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}
    }
    
  10. 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.
    @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}
    }
    
  11. 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.
    @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},
    }
  12. 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.
    @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},
    }
  13. 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.
    @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}"
    }
    
  14. 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 ]
  15. 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)
  16. 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)
    @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}"
    }