6 citations · 28 across the 20 of their papers we have counts for
4 papers · 1 filter
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Owen Howell, David Klee, Ondrej Biza +2
Learning about the three-dimensional world from two-dimensional images is a fundamental problem in computer vision. An ideal neural network architecture for such tasks would levera…
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
David M. Klee, Ondrej Biza, Robert Platt +1
Predicting the pose of objects from a single image is an important but difficult computer vision problem. Methods that predict a single point estimate do not predict the pose of ob…
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi +3
Automatically discovering composable abstractions from raw perceptual data is a long-standing challenge in machine learning. Recent slot-based neural networks that learn about obje…
Image to Icosahedral Projection for Object Reasoning from Single-View Images
David Klee, Ondrej Biza, Robert Platt +1
Reasoning about 3D objects based on 2D images is challenging due to variations in appearance caused by viewing the object from different orientations. Tasks such as object classifi…