Fengrui Tian   田豐瑞

I'm a first-year Ph.D. student at GRASP Lab, University of Pennsylvania, advised by Prof. René Vidal. My major research direction is 3D vision.

I previously was a research intern at Tsinghua University, where I'm very fortunate to work with Prof. Yueqi Duan and focus on novel view synthesis.

I received my M.Eng. degree from the the College of Artificial Intelligence of Xi'an Jiaotong University, under the supervision of Prof. Shaoyi Du, with the general ranking 1/107+. I received my B.Eng. degree from the School of Software Engineering of Xi'an Jiaotong University, supervised by Prof. Zhiqiang Tian, with the honor of Best Bachelor's Thesis (ranking 1/110+).

Previously, I had some great internships at CCVL group of Johns Hopkins University, Shanghai Artificial Intelligence Laboratory, Sensetime Research and Megvii Research.

I support Slow Science but it is really hard for me to practice it now.

Email  /  Google Scholar  /  Github  /  Full CV (2024.1.19)  /  CV of Failure

We propose to leverage the power of diffusion model to train a category-level pose estimator without requiring any pose annotations.

We propose Semantic Flow that builds semantic fields of dynamic scenes from monocular videos.

We propose MonoNeRF for learning a generalizable dynamic radiance field from monocular videos. While independently using 2D local features and optical flows suffers from ambiguity along the ray direction, they provide complementary constraints to jointly learn 3D point features and scene flows.

We propose a framework for self-supervised video contrastive learning.

We propose a framework for learning radiologists' experience in medical organ segmentation.

Last update: 08/30/2024. The website template was borrowed from the source code and this page.