Junyu Gao
(高君宇)

About Me

Ph.D Candidate, NWPU.

EMAIL

gjy3035 [at] gmail [dot] com

Others

Github
Google Scholar

About Me

Northwestern Polytechnical University 2011 - PRESENT

B. Eng. -> M. Phil. -> Ph. D. (expected)

I am currently pursuing the Ph.D degree from Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, advised by Qi Wang, Yuan Yuan and Xuelong Li. My research interests are in computer vision, deep learning and machine learning.

Selected Publication      (More...)

Crowd Analysis

Crowd Counting, Localization
Pixel-wise Crowd Understanding via Synthetic Data
Q. Wang (supervisor), J. Gao, W. Lin, and Y. Yuan
International Journal of Computer Vision, 2020
[Paper] | [Bibtex] | [Homepage (Dataset/Code)]
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Q. Wang (supervisor), J. Gao, W. Lin, and X. Li
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
[Paper] | [Bibtex] | [Homepage (Dataset/Code/Benchmark)]
Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance
J. Gao, Q. Wang, and Y. Yuan
IEEE Transactions on Cybernetics, 2020
[Paper] | [Bibtex]
Learning from Synthetic Data for Crowd Counting in the Wild
Q. Wang (supervisor), J. Gao, W. Lin, and Y. Yuan
Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2019
[Paper] | [Bibtex] | [Homepage (Dataset/Code)]

Semantic Segmentation

Street Scene Labeling, Road Segmentation, Lane Segmentation
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
Q. Wang (supervisor), J. Gao, and X. Li
IEEE Transactions on Image Processing, 2019
[Paper] | [Bibtex] | [Code]
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
J. Gao, Q. Wang, and Y. Yuan
Proc. IEEE International Conference on Robotics and Automation, 2017
IEEE Transactions on Intelligent Transportation Systems, 2018
[Conferencr Paper] [Journal Paper] | [Bibtex]
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
Q. Wang (supervisor), J. Gao, and Y. Yuan
IEEE Transactions on Intelligent Transportation Systems, 2018
[Paper] | [Bibtex]

Image Classification

Image Classification, Semi-Supervised Learning
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
T. Han#, J. Gao#, Y. Yuan, and Q. Wang (Co-first Author)
Proc. Conference on Neural Information Processing Systems, 2020
[Paper] | [Bibtex] | [Code]

ArXiv

Pre-print, Technical Report
Learning Independent Instance Maps for Crowd Localization
J. Gao, T. Han, Q. Wang, and Y. Yuan
arXiv preprint arXiv:2012.04164, 2020
[Paper] | [Bibtex] | [Code]
Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction
J. Gao, T. Han, Q. Wang, and Y. Yuan
arXiv preprint arXiv:1912.03677, 2019
[Paper] | [Bibtex] | [Code (coming soon)]
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
J. Gao, W. Lin, B. Zhao, D. Wang, C. Gao, and J. Wen
arXiv preprint arXiv:1907.02724, 2019
[Paper] | [Bibtex] | [Code]

Professional Activities

Program Committee Member

  • ITSC2018
  • ICEEAC2017
  • MSEE2016

Regular Reviewer

  • CVPR'20, NeurIPS'20, BMVC'19/'20, WACV'21
  • IEEE T-ITS, T-CSVT, T-CYB, T-NNLS
  • IEEE GRSL
  • PR, Neurocomputing

Update: 2020.7 by Junyu Gao