We present a new method that learns Constructive Solid Geometry (CSG) operations that operates on Signed Distance Field representation of 2D/3D shapes. The method discovers these operations without any supervision.

We present a new classification deep learning model for American Sign Language fingerspelling recongition. Our approach relies on multiple, image-phenomena based augmentation methods and modern learning methodology that allowed the model to achieve new state-of-the-art results.