Kostas Daniilidis Department of Computer and Information Science University of Pennsylvania Geometry-aware deep learning: Equivariant representations for 3D recognition, pose, and motion Traditional convolutional networks have shown unprecedented success in supervised classification yet they are still vulnerable to 3D geometric transformations in their inputs. While data augmentation might alleviate the intrinsic lack of […]