Graph Signal Processing = DSP + Boundary Condition
The distingued speaker José M. F. Moura will cover topics such as spectral graph theory, graph filtering, and graph neural networks, as well as applications in computer vision, social networks, and neuroscience.
37th AAAI Conference on Artificial Intelligence
Ruben Tolosana travels to Whasington DC for the presentation of BiDA-Lab research and technology at the 37th AAAI Conference on Artificial Intelligence.
Charla de Dan Casas Guix
Todos los expertos, estudiantes e interesados en #MachineLearning, #ComputerVision y #ComputerGraphics, el próximo miércoles, 11 de enero, hablamos de los avances recientes para la #Digitalización de ropa #Virtual 👖 basados en #AprendizajeAutomático, de la mano de Dan Casas.
SNUG: Self-Supervised Neural Dynamic Garments
Hyped to share our CVPR 2022 (Oral) paper “SNUG: Self-Supervised Neural Dynamic Garments”. The 3D garment deformations in this clip are learned with a neural network *without* using any dataset of 3D meshes or images🤯The trick? Physics!
