Junyu Gao
Scholar

Junyu Gao

Google Scholar ID: RiDA3o4AAAAJ
NWPU
Computer VisionMachine LearningCrowd Analysis
Citations & Impact
All-time
Citations
4,241
 
H-index
28
 
i10-index
51
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - "Pixel-Wise Crowd Understanding via Synthetic Data", International Journal of Computer Vision, 2020
  • - "NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
  • - "Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance", IEEE Transactions on Cybernetics, 2020
  • - "Learning from Synthetic Data for Crowd Counting in the Wild", Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2019
  • - "Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes", IEEE Transactions on Image Processing, 2019
  • - "Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection", IEEE Transactions on Intelligent Transportation Systems, 2018
Research Experience
  • - Conducting research at the Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University
  • - Involved in various research projects, such as crowd counting and localization, semantic segmentation, etc.
Education
  • - Northwestern Polytechnical University, 2011 - PRESENT
  • - B. Eng. -> M. Phil. -> Ph. D. (expected)
Background
  • - Currently pursuing a Ph.D. degree at the Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University
  • - Advised by Qi Wang, Yuan Yuan, and Xuelong Li
  • - Research interests include computer vision, deep learning, and machine learning
Miscellany
  • - No other information provided