Bowei Chen （陈柏维）

I am a Ph.D. student at University of Washington, working with Prof. Steve Seitz, Prof. Brian Curless, and Prof. Ira Kemelmacher-Shlizerman.

Previously, I was a master student in Robotics Institute at Carnegie Mellon University, supervised by Prof. Srinivasa Narasimhan. I also worked with Prof. Martial Hebert, Dr. Sing Bing Kang, and Dr. Tiancheng Zhi.

I did my bachelors at Northeastern University , where I worked with Prof. Jean-François Lalonde, Prof. Guibing Guo, and Dr. Fajie Yuan.

Email  /  Google Scholar  /  Github

My research interests lie at the intersection of computer vision and graphics, focusing on image and video generation.

* indicates equal contribution

Given an input painting, we reconstruct a time-lapse video of how it may be painted.

Take an image of your face, legs, shoes, and body with your phone and we'll generate a full body selfie for you.

Given a portrait image, we applies advanced editing effects by training on automatically generated training pairs.

Present a periodicity-aware framework to learn Near-Periodic Patterns (NPP) representation, which enables various applications including NPP completion, resolution-enhanced remapping, and segmentation.

Present a weakly supervised appearance decomposition for a single indoor panorama. The applications include furniture insertion, sunlight direction changing, and floor material changing.

Propose a two-level attentive neural network to capture title-abstract semantics relationships for paper recommendation.

The website's style is borrowed from this amazing guy.