Vandy Tombs
Vandy Tombs is an Applied Mathematician in Geographic Data Science group at Oak Ridge National Laboratory. She enjoys applying group theory to develop new machine learning architectures and utilizing differentiable programming to improve existing scientific algorithms.
Session
07-29
18:10
10min
Applying Differentiable Programming to the Dark Channel Prior
Vandy Tombs
The Dark Channel Prior was introduced by He, et al. as a method to dehaze a single image. Since its publication in 2010, other authors have sought to improve this dehazing method. Using the parameters that other authors have tuned as a guide, we parameterize the Dark Channel Prior dehazing method and utilize Zygote to apply gradient based optimization.
Red Track