Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Dr. Zhihe Lu, National University of Singapore, Singapore

👨‍💼 Zhihe Lu is a dedicated researcher in the field of Computer Vision, with a focus on Transfer Learning, Few-shot Learning, and Continual Learning. He holds a Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK, where he conducted innovative research under the supervision of Prof. Tao Xiang. Prior to that, he completed his Master’s Degree in Computer Vision at the Institute of Automation, Chinese Academy of Sciences, and obtained a Bachelor of Engineering in Automation from Zhengzhou University. Currently, Zhihe serves as a Research Fellow at the National University of Singapore, contributing to the CARTIN project for scene understanding. His previous experience includes an internship at the AI center of Samsung, UK. Zhihe’s passion for advancing computer vision technologies drives his commitment to exploring novel approaches in the field. 🖥️

Professional Profile:

Google Scholar

📚 Education:

• Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK (2019.07 – 2022.09) under the supervision of Prof. Tao Xiang.
• Master’s Degree in Computer Vision from Institute of Automation, Chinese Academy of Sciences (2016.09 – 2019.06) under the supervision of Prof. Ran He.
• Bachelor of Engineering in Automation from College of Electrical Engineering, Zhengzhou University (2010.09 – 2014.06).

💼 Working Experiences:

• Research Fellow at National University of Singapore, Singapore (2022.09 – Present), working on part of the CARTIN project for scene understanding.
• Intern at AI center of Samsung, UK (2021.10 – 2022.04).

🔍 Research Interests:

Zhihe Lu’s research interests lie in the areas of Computer Vision, Transfer Learning, Few-shot Learning, and Continual Learning.

Publication Top Notes:

• Stochastic classifiers for unsupervised domain adaptation
  • Published in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020.
  • Citations: 170
• Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
  • Published in Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021.
  • Citations: 164
• Geometry guided adversarial facial expression synthesis
  • Published in Proceedings of the 26th ACM international conference on Multimedia, 2018.
  • Pages: 627-635
  • Citations: 158
• Recent progress of face image synthesis
  • Published in 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017.
  • Pages: 7-12
  • Citations: 39
• Task Residual for Tuning Vision-Language Models
  • Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
  • Citations: 32