Biography

I am currently a Ph.D. Candidate in Visual Intelligence Lab, Faculty of Computing, Harbin Institute of Technology, supervised by Prof. Hongxun Yao. From March 2019 to November 2020, I worked as a research intern in SenseTime mentored by Dr. Wenxiu Sun. Before that, I received my Bachelor's and Master's degrees from Hefei University of Technology and Harbin Institute of Technology in 2015 and 2017, respectively. My research interests are in the areas of 3D reconstruction, video segmentation, and computer vision.

Publications

• Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun. Efficient Regional Memory Network for Video Object Segmentation. CVPR, 2021.
  [BibTeX] [PDF] [Project Page]

  @inproceedings{xie2021efficient,
    title={Efficient Regional Memory Network for Video Object Segmentation},
    author={Xie, Haozhe and Yao, Hongxun and Zhou, Shangchen and Zhang, Shengping and Sun, Wenxiu},
    booktitle={CVPR},
    year={2021}
  }

• Shuo Yang, Min Xu, Haozhe Xie, Stuart Perry, Jiahao Xia. Single-View 3D Object Reconstruction from Shape Priors in Memory. CVPR, 2021.
  [BibTeX] [PDF]

  @inproceedings{yang2021single,
    title={Single-View 3D Object Reconstruction from Shape Priors in Memory},
    author={Yang, Shuo and Xu, Min and Xie, Haozhe and Perry, Stuart and Xia, Jiahao},
    booktitle={CVPR},
    year={2021}
  }

• Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun. GRNet: Gridding Residual Network for Dense Point Cloud Completion. ECCV, 2020.
  [BibTeX] [PDF] [Project Page]

  @inproceedings{xie2020grnet,
    title={GRNet: Gridding Residual Network for Dense Point Cloud Completion},
    author={Xie, Haozhe and Yao, Hongxun and Zhou, Shangchen and Mao, Jiageng and Zhang, Shengping and Sun, Wenxiu},
    booktitle={ECCV},
    year={2020}
  }

• Haozhe Xie, Hongxun Yao, Shengping Zhang, Shangchen Zhou, Wenxiu Sun. Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images. International Journal of Computer Vision (IJCV), 128(12): 2919-2935, 2020. (IF=6.071)
  [BibTeX] [PDF]

  @article{xie2020pix2vox++,
    title={Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images},
    author={Xie, Haozhe and Yao, Hongxun and Zhang, Shengping and Zhou, Shangchen and Sun, Wenxiu},
    journal={International Journal of Computer Vision (IJCV)},
    year={2020},
    volume={128},
    number={12},
    pages={2919--2935},
    doi={10.1007/s11263-020-01347-6}
  }

• Yuzhi Tan, Hongxun Yao, Haoran Li, Xiusheng Lu, Haozhe Xie. PRF-Ped: Multi-scale Pedestrian Detector with Prior-based Receptive Field. ICPR, 2020.
  [BibTeX] [PDF]

  @inproceedings{tan2020prf,
    title={PRF-Ped: Multi-scale Pedestrian Detector with Prior-based Receptive Field},
    author={Tan, Yuzhi and Yao, Hongxun and Li, Haoran and Lu, Xiusheng and Xie, Haozhe},
    booktitle={ICPR},
    year={2020}
  }

• Haozhe Xie, Yunmu Huang, Anni Xu, Jinpeng Lan, Wenxiu Sun. Depth-aware Space-Time Memory Network for Video Object Segmentation. CVPR Workshops, 2020.
  [BibTeX] [PDF] [Oral Video]

  @inproceedings{xie2020depth,
    title={Depth-aware Space-Time Memory Network for Video Object Segmentation},
    author={Xie,Haozhe and Huang,Yunmu and Xu,Anni and Lan,Jinpeng and Sun,Wenxiu},
    booktitle={CVPR Workshops},
    year={2020}
  }

• Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Xiaoshuai Sun, Wenxiu Sun. Toward 3D Object Reconstruction from Stereo Images. arXiv preprint:1910.08223, 2019.
  [BibTeX] [PDF] [Project Page]

  @article{xie2019toward,
    title={Toward 3D Object Reconstruction from Stereo Images},
    author={Xie, Haozhe and Yao, Hongxun and Zhou, Shangchen and Zhang, Shengping and Sun, Xiaoshuai and Sun, Wenxiu},
    journal={arXiv preprint:1910.08223},
    year={2019}
  }

• Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang. Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images. ICCV, 2019.
  [BibTeX] [PDF] [Project Page]

  @inproceedings{xie2019pix2vox,
    title={Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images},
    author={Xie, Haozhe and Yao, Hongxun and Sun, Xiaoshuai and Zhou, Shangchen and Zhang, Shengping},
    booktitle={ICCV},
    year={2019}
  }

• Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy Ren. Spatio-Temporal Filter Adaptive Network for Video Deblurring. ICCV, 2019.
  [BibTeX] [PDF] [Project Page]

  @inproceedings{zhou2019spatio,
    title={Spatio-Temporal Filter Adaptive Network for Video Deblurring},
    author={Zhou, Shangchen and Zhang, Jiawei and Pan, Jinshan and Xie, Haozhe and  Zuo, Wangmeng and Ren, Jimmy},
    booktitle={ICCV},
    year={2019}
  }

• Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren. DAVANet: Stereo Deblurring with View Aggregation. CVPR, 2019. (Oral)
  [BibTeX] [PDF] [Project Page] [Dataset]

  @inproceedings{zhou2019davanet,
    title={DAVANet: Stereo Deblurring with View Aggregation},
    author={Zhou, Shangchen and Zhang, Jiawei and  Zuo, Wangmeng and Xie, Haozhe and Pan, Jinshan and Ren, Jimmy},
    booktitle={CVPR},
    year={2019}
  }

• Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Xiaojun Tong. Weighted Voxel: a novel voxel representation for 3D reconstruction. International Conference on Internet Multimedia Computing and Service (ICIMCS), 2018.
  [BibTeX] [PDF] [Project Page]

  @inproceedings{xie2018weighted,
    title={Weighted Voxel: a novel voxel representation for 3D reconstruction},
    author={Xie, Haozhe and Yao, Hongxun and Sun, Xiaoshuai and Zhou, Shangchen and Tong, Xiaojun},
    booktitle={International Conference on Internet Multimedia Computing and Service (ICIMCS)},
    year={2018},
    organization={acm}
  }

• Hanqing Xue, Jie Li, Haozhe Xie, Yadong Wang. Review of drug repositioning approaches and resources. International Journal of Biological Sciences, 14(10): 1232-1244, 2018. (IF=4.057)
  [BibTeX] [PDF]

  @article{xue2018review,
    title={Review of drug repositioning approaches and resources},
    author={Xue, Hanqing and Li, Jie and Xie, Haozhe and Wang, Yadong},
    journal={International Journal of Biological Sciences},
    year={2018},
    volume={14},
    number={10},
    pages={1232--1244}
  }

• Haozhe Xie. Research on dimensionality reduction methods based on random projection. Master's thesis, Harbin Institute of Technology, 2017.
  [BibTeX] [PDF]

  @mastersthesis{xie2017research,
    title={Research on dimensionality reduction methods based on random projection},
    author={Xie, Haozhe},
    school={Harbin Institute of Technology},
    year={2017}
  }

• Haozhe Xie, Jie Li, Hanqing Xue. A survey of dimensionality reduction techniques based on random projection. arXiv preprint:1706.04371, 2017.
  [BibTeX] [PDF]

  @article{xie2017survey,
    title={A survey of dimensionality reduction techniques based on random projection},
    author={Xie, Haozhe and Li, Jie and Xue, Hanqing},
    journal={arXiv preprint:1706.04371},
    year={2017}
  }

• Qiaosheng Zhang, Jie Li, Haozhe Xie, Hanqing Xue, Yadong Wang. A network-based pathway-expanding approach for pathway analysis. BMC Bioinformatics, 17: 231-241, 2016. (IF=2.448)
  [BibTeX] [PDF]

  @article{zhang2016network,
    title={A network-based pathway-expanding approach for pathway analysis},
    author={Zhang, Qiaosheng and Li, Jie and Xie, Haozhe and Xue, Hanqing and Wang, Yadong},
    journal={BMC Bioinformatics},
    year={2016},
    volume={17},
    pages={231--241}
  }

• Haozhe Xie, Jie Li, Qiaosheng Zhang, Yadong Wang. Comparison among dimensionality reduction techniques based on Random Projection for cancer classification. Computational biology and chemistry, 65: 165-172, 2016. (IF=1.331)
  [BibTeX] [PDF] [Code] [Dataset]

  @article{xie2016comparison,
    title={Comparison among dimensionality reduction techniques based on Random Projection for cancer classification},
    author={Xie, Haozhe and Li, Jie and Zhang, Qiaosheng and Wang, Yadong},
    journal={Computational biology and chemistry},
    year={2016},
    volume={65},
    pages={165--172}
  }

Invited Talks

• Deep Learning Fundamentals. Zhejiang Institute of Research and Innovation, The University of Hong Kong, Hangzhou, China. July 2019.
• Computer Fundamentals. Hangzhou No.14 High School, Hangzhou China. August 2014.
• Data Structure. Hangzhou No.14 High School, Hangzhou China. August 2012.

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Copyright

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.