Venture IV 409
Campus Box 7911
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.
University of California, Los Angeles
- 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)
ECE Students Win Best Poster Award from CAEML
Posted on January 13, 2023 | Filed Under: News
Priyank Kashyup and Yuejiang Wen each won the Best Poster Award at CAEML’s Fall 2022 Semiannual Meeting.
ECE Researchers Help Develop Public Charging Infrastructure for Wheelchairs
Posted on October 17, 2022 | Filed Under: Research
ECE researchers are helping to develop accessible public charging infrastructure for electric wheelchair users. Two years in the making, and the product is now ready for public use.
Aydin Aysu and Tianfu Wu Named Goodnight Early Career Innovators
Posted on April 26, 2022 | Filed Under: Awards
Congratulations to our two faculty members, Aydin Aysu and Tianfu Wu, for being recognized as a Goodnight Early Career Innovator!