Tianwen Fu

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I am a second-year PhD student in computer science at the University of Southern California. Previously, I graduated from the master’s program in computer vision at Carnegie Mellon University, where I was honored to work on a computational photography project with event cameras with Professor Ioannis Gkioulekas. I did my capstone project at the R-PAD lab led by Professor David Held on 3D scene understanding.

I obtained a Bachelor of Science in Mathematics and Information Engineering with first-class honors from the Chinese University of Hong Kong, where I had the pleasure to work on computer graphics with Professor Chi-Wing Fu. I was also honored to work as a research intern at SenseTime with Professor Jifeng Dai and Dr. Hao Li.

Publications

  1. RDD: Robust Feature Detector and Descriptor using Deformable Transformer
    Gonglin Chen, Tianwen Fu, Haiwei Chen, and 3 more authors
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
  2. Unraveling the Complexities of Simplicity Bias: Mitigating and Amplifying Factors
    Xuchen Gong* and Tianwen Fu*
    In NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning
  3. Autoloss-zero: Searching loss functions from scratch for generic tasks
    Hao Li*, Tianwen Fu*, Jifeng Dai, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
  4. Computational design and optimization of non-circular gears
    Hao Xu*, Tianwen Fu*, Peng Song, and 3 more authors
    In Computer Graphics Forum, 2020