PhD Student
Xingchao’s research interest focuses on transfer learning and domain adaptation, especially for transfer learning between synthetic domain and realistic domain. He is currently a research assistant at Boston University, advised by Prof. Kate Saenko.
Xingchao graduated from Peking University with a B.S. in Computer Science in June 2013, working with Prof. Yuxin Peng. He has spent summers at ICSI, working with Dr. Stella Yu and Prof. Trevor Darrell.
Publications
Synthetic to Real Adaptation with Generative Correlation Alignment Networks
Ground2sky Label Transfer for Fine-grained Aerial Car Recognition
Combining Texture and Shape Cues for Object Recognition with Minimal Supervision
Fine-to-Coarse Knowledge Transfer for Low-Res Image Classification
Learning Deep Object Detectors from 3D Models