Biography

I am currently a Senior Research Scientist at Tencent AI Lab. I received my Ph.D. degree in computer science from Harbin Institute of Technology in 2021, supervised by Prof. Hongxun Yao. 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. From March 2019 to November 2020, I worked as a research intern in SenseTime mentored by Dr. Wenxiu Sun. My research interests are in the areas of 3D reconstruction and computer vision.

We are recruiting self-motivated AI researchers who are eager and patient to make contributions to content generation in games. If interested, please drop your CV to my email.

Publications

• Xiaoqian Lv, Shengping Zhang, Qinglin Liu, Haozhe Xie, Bineng Zhong, Huiyu Zhou. BacklitNet: A dataset and network for backlit image enhancement. Computer Vision and Image Understanding, 218: 103403, 2022. (IF=3.876)
  [BibTeX] [PDF]

  @article{lv2022backlitnet,
    title={BacklitNet: A dataset and network for backlit image enhancement},
    author={Lv, Xiaoqian and Zhang, Shengping and Liu, Qinglin and Xie, Haozhe and Zhong, Bineng and Zhou, Huiyu},
    journal={Computer Vision and Image Understanding},
    year={2022},
    volume={218},
    pages={103403},
    doi={10.1016/j.cviu.2022.103403}
  }

• Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Xiaojun Tong, Wenxiu Sun. Toward 3D Object Reconstruction from Stereo Images. Neurocomputing, 463: 444-453, 2021. (IF=5.719)
  [BibTeX] [PDF] [Project Page]

  @article{xie2021toward,
    title={Toward 3D Object Reconstruction from Stereo Images},
    author={Xie, Haozhe and Yao, Hongxun and Zhou, Shangchen and Zhang, Shengping and Tong, Xiaojun and Sun, Wenxiu},
    journal={Neurocomputing},
    year={2021},
    volume={463},
    pages={444--453},
    doi={10.1016/j.neucom.2021.07.089}
  }

• Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji. Long-Range Feature Propagating for Natural Image Matting. ACM Multimedia, 2021.
  [BibTeX] [PDF] [Code]

  @inproceedings{liu2021long,
    title={Long-Range Feature Propagating for Natural Image Matting},
    author={Liu, Qinglin and Xie, Haozhe and Zhang, Shengping and Zhong, Bineng and Ji, Rongrong},
    booktitle={ACM Multimedia},
    year={2021}
  }

• Haozhe Xie. 3D Scene and Object Reconstruction from Multiple Sources and Viewpoints. PhD thesis, Harbin Institute of Technology, 2021.
  [BibTeX] [PDF]

  @phdthesis{xie20213d,
    title={3D Scene and Object Reconstruction from Multiple Sources and Viewpoints},
    author={Xie, Haozhe},
    school={Harbin Institute of Technology},
    year={2021}
  }

• 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=7.410)
  [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, 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.

Open Source Contribution

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Copyright

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