Faculty
current position: Faculty >> Associate Professor >> Content
Junyu Gao, Associate Professor
 

Personal Profile

     

Junyu Gao, Associate Professor

Scholar Homepages:[Google Scholar] | [Github] | [Github Page]

Research Interests:Computer Vision, Pattern Recoginition, Image Understanding, Crowd Analysis, etc.

Contact Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China

Zip Code: 710072

E-mail:gjy3035 AT gmail DOT com

 

Education Background

2018-2021Northwestern Polytechnical UniversityComputer SciencePh.D.
2015-2018Northwestern Polytechnical UniversityComputer ScienceM.Phil.
2011-2015Northwestern Polytechnical UniversityComputer ScienceB.Eng.
 

Work Experience

2021-NowNorthwestern Polytechnical UniversityGuest Scholar
2021-NowXiDian UniversityPost-Doc
 

Representative Papers

  1. Q. Wang, J. Gao, W. Lin, and Y. Yuan, “Pixel-wise Crowd Understanding via Synthetic Data,” IJCV, vol. 129, pp. 225-245, 2021. [BibTeX] | [PDF] | [Homepage (Dataset/Code)]

  2. Q. Wang, J. Gao, W. Lin, and X. Li, “NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization,” IEEE T-PAMI, in press, 2020. [BibTeX] | [PDF] | [Homepage (Dataset/Code/Benchmark)]

  3. J. Gao, Y. Yuan, and Q. Wang, “Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance,”  IEEE T-CYB, DOI: 10.1109/TCYB.2020.3034316. [BibTeX] | [PDF]

  4. J. Gao, Q. Wang, , and X. Li, “PCC Net: Perspective Crowd Counting via Spatial Convolutional Network,” IEEE T-CSVT, vol. 30, no. 10, pp. 3486-3498, 2020. [BibTeX] | [PDF] | [Code]

  5. T. Han#, J. Gao#, Y. Yuan, and Q. Wang, “Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning,” NeurIPS, pp. 9961-9971, 2020. [BibTeX] | [PDF] | [Code]  (Co-first Author)

  6. Q. Wang, J. Gao, W. Lin, and Y. Yuan, “Learning from Synthetic Data for Crowd Counting in the Wild,” IEEE CVPR, pp. 8190-8199, 2019. [BibTeX] | [PDF] | [Homepage (Dataset/Code)]

  7. J. Gao, Q. Wang, and Y. Yuan, “Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection,” IEEE ICRA, pp. 219-224, 2017. [BibTeX] | [PDF]

[More...]  

Recent Papers

  1. J. Gao, T. Han, Q. Wang, and Y. Yuan, “Learning Independent Instance Maps for Crowd Localization,” arXiv preprint arXiv:2012.04164, 2020. [BibTeX] | [PDF] | [Code]

  2. J. Gao, T. Han, Q. Wang, and Y. Yuan, “Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction,” arXiv preprint arXiv:1912.03677,2019. [BibTeX] | [PDF]

 

Academic Service

  • PC Member/Reviewer: CVPR'20/21, ICCV'21, NeurIPS'20, AAAI'20, IJCAI'20, BMVC'19/'20, WACV'21...

  • Journal Reviewer:T-NNLS,T-IP, T-CYB, T-GRS, T-MM, T-ITS, Pattern Recognition...