Brief Bio
Boyi Li [柏依 in Chinese] is a Research Scientist at NVIDIA Research and a Postdoctoral Scholar at UC Berkeley, advised by Prof. Jitendra Malik and Prof. Trevor Darrell.
She received her Ph.D. at Cornell University, advised by Prof. Serge Belongie and Prof. Kilian Q. Weinberger.
Research Interest
Computer Vision, Machine Learning, & Multimedia Art.
Particularly, my research focuses on multimodal and data-efficient machine learning. [Open to interesting topics]
News
Excited to announce the First Workshop on Interpolation Regularizers @ NeurIPS 2022.
Language-driven Semantic Segmentation (LSeg) paper, code and demo are available @ ICLR 2022.
Single Image Texture Translation for Data Augmentation paper, code and webpage are available.
Please feel free to check WiML @ NeurIPS 2021.
Moment Exchange (MoEx) Code is available at MoEx_github, intro video is available at MoEx_intro .
Positional Normalization, PONO_github (including more applications) has been updated.
Improved AOD-Net with Positional Normalization, codes are available at PONO+AOD-Net_github
Miscellaneous
Classical music (violin/piano), painting, singing or raising cute animals such as pomeranian.