Bowei Chen

I am a second-year MSR student in Robotics Institute at Carnegie Mellon University, supervised by Prof. Srinivasa Narasimhan. I also work with Prof. Martial Hebert, Dr. Sing Bing Kang, and Dr. Tiancheng Zhi.

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

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

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My research interests lie at the intersection of computer vision and graphics, including neural rendering, inverse rendering and 3D reconstruction. Previously, I worked on developing recommender systems methods.


* indicates equal contribution

dise Neural Repeated Texture Field (NeRTF): Learning Continuous Implicit Representation for Near-Periodic Patterns.
Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa Narasimhan.
(Under Review)

Present a single image based framework to learn Near-Periodic Patterns (NPP) representation, which is adapted to various applications including completion, resolution-enhanced remapping, and segmentation.

dise Semantically Supervised Appearance Decomposition for Virtual Staging from a Single Panorama.
Tiancheng Zhi, Bowei Chen, Ivaylo Boyadzhiev, Sing Bing Kang, Martial Hebert, Srinivasa Narasimhan.
ACM Transactions on Graphics, SIGGRAPH 2022
[Paper] [Website] [Code]

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

dise Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He.
The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020

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

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