Scholar
Junyu Gao
Google Scholar ID: RiDA3o4AAAAJ
NWPU
Computer Vision
Machine Learning
Crowd Analysis
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Citations & Impact
All-time
Citations
4,241
H-index
28
i10-index
51
Publications
20
Co-authors
10
list available
Contact
Email
gjy3035@gmail.com
CV
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GitHub
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Publications
12 items
MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
2026
Cited
0
STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection
2026
Cited
0
Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline
2026
Cited
0
Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting
2026
Cited
0
Batch Loss Score for Dynamic Data Pruning
2026
Cited
0
Efficient Reasoning via Thought Compression for Language Segmentation
2026
Cited
0
Prototype-Based Low Altitude UAV Semantic Segmentation
2026
Cited
0
IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework
2026
Cited
0
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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
Co-authors
10 total
Qi Wang
Northwestern Polytechnical University
Xuelong Li(李学龙)Fellow of AAAI 2023, ACM 2020, OSA 2012, IEEE 2012, SPIE 2010
TeleAI of China Telecom(中国电信人工智能研究院)
Wei LIN (林维)
VISAL, City University of Hong Kong
Tao Han (韩滔)
The Hong Kong University of Science and Technology & Shanghai AI Lab
Da Zhang
NWPU, TeleAI
Zhiyuan Zhao
Northwestern Polytechnical University
Co-author 7
Bin Zhao
Northwestern Polytechnical University, Shanghai AI Laboratory
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