5 citations · 8 across the 3 of their papers we have counts for
3 papers
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
We show that generative models can be used to capture visual geometry constraints statistically. We use this fact to infer the 3D shape of object categories from raw single-view im…
Learning to Imagine Manipulation Goals for Robot Task Planning
Chris Paxton, Kapil Katyal, Christian Rupprecht +2
Prospection is an important part of how humans come up with new task plans, but has not been explored in depth in robotics. Predicting multiple task-level is a challenging problem…
Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition
Christian Rupprecht, Ansh Kapil, Nan Liu +2
Webly-supervised learning has recently emerged as an alternative paradigm to traditional supervised learning based on large-scale datasets with manual annotations. The key idea is…