Tianfu Wu

Biography

Tianfu Wu is an associate professor in the Department of Electrical and Computer Engineering at NC State University. He is currently the PI of the laboratory of interpretable Visual Modeling, Computing and Learning (iVMCL).  He received his Ph.D. in statistics from UCLA under the supervision by Prof. Song-Chun Zhu. His research focuses on computer vision, often motivated by the task of building explainable and improvable visual Turing test and robot autonomy through life-long communicative learning. To accomplish his research goals, he is interested in pursuing a unified framework for machines to ALTER (Ask, Learn, Test, Explain and Refine) recursively in a principled way.

Education

• Ph.D. 2011
  Statistics
  University of California, Los Angeles

Recent Publications

• Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis (2022)
• Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation (2022)
• Modeling of Adaptive Receiver Performance Using Generative Adversarial Networks (2022)
• Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs (2022)
• RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks (2022)
• A Bottom-Up and Top-Down Integration Framework for Online Object Tracking (2021)
• Event driven sensor fusion (2021)
• High Speed Receiver Modeling Using Generative Adversarial Networks (2021)
• Learning Regional Attraction for Line Segment Detection (2021)
• Local Clustering with Mean Teacher for Semi-supervised learning (2021)