Computer science PhD student Bailey Miller and co-authors Hanyu Chen, Alice Lai, and Ioannis Gkioulekas have received an honorable mention for best student paper at the 2024 IEEE Conference on Computer Vision and Pattern Recognition, held in Seattle, Washington. Their paper, titled, “Objects as volumes: A stochastic geometry view of opaque solids,” develops a theory for modeling light transport on probabilistic descriptions of solid geometry.
“The theory is quite simple and elegant,” said Miller. “Yet it is capable of both explaining and improving a popular class of volume rendering-based surface reconstruction techniques.”
The CVPR conference highlights the most innovative research occurring in artificial intelligence, deep learning, machine learning, augmented reality, and more. The CVPR Program Committee reported that this year’s event broke past conference records. Paper submissions reached an all-time high at 11,532 – a 23% increase from 2023. Miller, Chen, Lai, and Gkioulekas’s paper was one of only ten papers selected to receive an award or honorable mention.
“Receiving an award for this paper is an honor and encourages us to continue pursuing projects where our approach is principled and well grounded in theory,” said Miller.
Read the paper here, and learn more about the CVPR conference, and check out this edition of CVPR daily that highlights the project.