Weiyao Wang

Bio

I am a Research Engineer at Fundamental AI Research at Meta.  My research interests focus on multi-modal reasoning and computer vision, such as open-world visual reasoning, object recognition and detection, scene understanding and video understanding. I am also broadly interested in machine learning methodologies and optimizations. At FAIR, I am fortunate to collaborate and receive mentorship from Dr. Du Tran. Prior to FAIR, I was an engineer at Facebook AI Applied Research (FAIAR) and Applied Machine Learning (AML). Prior to Facebook (aka Meta), I received my Bachelor degree in mathematics and computer science from Duke University, with great advisory by Prof. Rong Ge and Prof. Robert Calderbank. 

News

• 02/26/2024: ICON accepted at CVPR 2024! Take a look here [link].

• 09/22/2023: Two papers accepted at NeurIPS 2023!

• 07/13/2023: SiLK accepted at ICCV 2023!

• 04/14/2023: Released SiLK codebase for simple learned keypoints [link].

• 02/23/2023: EgoTracks released as part of Ego4D [link].

• 04/11/2022: Generic Grouping paper accepted by CVPR 2022!

• 10/16/2021: Co-organized the Open-World Video Object Detection and Segmentation Challenge at ICCV'21 [link].