Generative AI
Knowledge graphs store facts using relations between two entities. In this work, we address the question of link prediction in …
We introduce a machine learning workflow to search for, identify, and meaningfully triage videos and images of munitions, weapons, and …
We study the effect of the stochastic gradient noise on the training of generative adversarial networks (GANs) and show that it can …
Millions of blind and visually-impaired (BVI) people navigate urban environments every day, using smartphones for high-level …
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves …
Single-view 3D shape reconstruction is an important but challenging problem, mainly for two reasons. First, as shape annotation is very …
Compositional Pattern Producing Networks (CPPNs) are differentiable networks that independently map (x, y) pixel coordinates to (r, g, …
How do we determine whether two or more clothing items are compatible or visually appealing? Part of the answer lies in understanding …
Importance weighted variational inference (Burda et al., 2015) uses multiple i.i.d. samples to have a tighter variational lower bound. …
We infer and generate three-dimensional (3D) scene information from a single input image and without supervision. This problem is …