Scholar
Yue Yao
Google Scholar ID: dSQdVooAAAAJ
The Australian National University
Citations & Impact
Citations
763
H-index
10
i10-index
10
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- 1. Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond, TPAMI, Accepted.
- 2. Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic, ICLR, 2024.
- 3. Open-Set Facial Expression Recognition, AAAI, 2024.
- 4. Optimizing the Training Set to Improve Model Specificity on Target Domains, PhD Thesis, 2023.
- 5. Training with Product Digital Twins for AutoRetail Checkout, Arxiv, 2023.
- 6. Large-scale Training Data Search for Object Re-identification, CVPR, 2023.
- 7. Information-preserving Feature Filter for Short-term EEG Signals, Neurocomputing, 2020.
- 8. Simulating Content Consistent Vehicle Datasets with Attribute Descent, ECCV, 2020.
Research Experience
- Currently a Research Officer at the School of Computing, Australian National University, working with Prof. Tom Gedeon. Interned at NVIDIA during PhD, working on Metropolis with Dr. Milind Naphade and Dr. Thomas Tang.
Education
- PhD from Australian National University (ANU), supervised by Prof. Tom Gedeon and Prof. Liang Zheng.
Background
- Research Interests: Computer Vision, Deep Learning, and Brain-Computer Interface. Much of the research is about optimizing the training set to improve model specificity on target domains, which was also the PhD topic.
Miscellany
- Co-organizing the 3rd Workshop on Vision Datasets Understanding and 2nd DataCV challenge in CVPR 2024, as well as the 2024 AI city challenge in CVPR 2024.
