Jia Zheng
Research Intern
KooLab, Kujiale.com
Email / CV / Scholar / Github / LinkedIn

About

I am currently a resarch intern at KooLab in Kujiale.com, working with Dr. Rui Tang and Prof. Zihan Zhou. Before that, I obtained my master's degree from ShanghaiTech University working with Prof. Shenghua Gao, and obtained my bachelor's degree from Northwestern Polytechnical University.


I am interested in computer vision and machine learning, particularly in the areas of 3D Vision. My current research focuses on recovering 3D geometry from images by utilizing shape regularities.

News

Publications

Geometric Structure Based and Regularized Depth Estimation From 360° Indoor Imagery
Lei Jin*, Yanyu Xu*, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, and Shenghua Gao
CVPR 2020 / bibtex
@inproceedings{JinXZZTXYG20,
  author    = {Lei Jin and
               Yanyu Xu and
               Jia Zheng and
               Junfei Zhang and
               Rui Tang and
               Shugong Xu and
               Jingyi Yu and
               Shenghua Gao},
  title     = {Geometric Structure Based and Regularized Depth Estimation From
               360 Indoor Imagery},
  booktitle = {Proceedings of The IEEE Conference on
               Computer Vision and Pattern Recognition (CVPR)},
  year      = {2020}
}
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Jia Zheng*, Junfei Zhang*, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou
arXiv preprint 2019 / supp / webpage / code / zhihu blog (chinese) / bibtex
@article{ZhengZLTGZ19,
  author    = {Jia Zheng and
               Junfei Zhang and
               Jing Li and
               Rui Tang and
               Shenghua Gao and
               Zihan Zhou},
  title     = {Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling},
  journal   = {CoRR},
  volume    = {abs/1908.00222},
  year      = {2019}
}
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu*, Jia Zheng*, Dongze Lian, Zihan Zhou, Shenghua Gao
CVPR 2019 / supp / code / poster / slide / bibtex
@inproceedings{YuZLZG19,
  author    = {Zehao Yu and
               Jia Zheng and
               Dongze Lian and
               Zihan Zhou and
               Shenghua Gao},
  title     = {Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding},
  booktitle = {Proceedings of The IEEE Conference on
               Computer Vision and Pattern Recognition (CVPR)},
  pages     = {1029--1037},
  year      = {2019}
}
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
Dongze Lian*, Jing Li*, Jia Zheng, Weixin Luo, Shenghua Gao
CVPR 2019 / supp / code / bibtex
@inproceedings{LianLZLG19,
  author    = {Dongze Lian and
               Jing Li and
               Jia Zheng and
               Weixin Luo and
               Shenghua Gao},
  title     = {Density Map Regression Guided Detection Network for
               RGB-D Crowd Counting and Localization},
  booktitle = {Proceedings of The IEEE Conference on
               Computer Vision and Pattern Recognition (CVPR)},
  pages     = {1821--1830},
  year      = {2019}
}
PPGNet: Learning Point-Pair Graph for Line Segment Detection
Ziheng Zhang*, Zhengxin Li*, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao
CVPR 2019 / code / bibtex
@inproceedings{ZhangLBZWHLXG19,
  author    = {Ziheng Zhang and
               Zhengxin Li and
               Ning Bi and
               Jia Zheng and
               Jinlei Wang and
               Kun Huang and
               Weixin Luo and
               Yanyu Xu and
               Shenghua Gao},
  title     = {PPGNet: Learning Point-Pair Graph for Line Segment Detection},
  booktitle = {Proceedings of The IEEE Conference on
               Computer Vision and Pattern Recognition (CVPR)},
  pages     = {7105--7114},
  year      = {2019}
}
* indicates equal contribution

Teaching

  • CS272: Computer Vision II - Summer 2018, Taching Assistant (TA)
  • CS172: Computer Vision I - Fall 2017, Teaching Assistant (TA)
Last updated: Mar. 17, 2020
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