no code implementations • 21 Nov 2022 • Brian Okorn, Chuer Pan, Martial Hebert, David Held
While self-supervised learning has been used successfully for translational object keypoints, in this work, we show that naively applying relative supervision to the rotational group $SO(3)$ will often fail to converge due to the non-convexity of the rotational space.
no code implementations • 17 Nov 2022 • Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held
We conjecture that this relationship is a generalizable notion of a manipulation task that can transfer to new objects in the same category; examples include the relationship between the pose of a pan relative to an oven or the pose of a mug relative to a mug rack.
no code implementations • EMNLP (BlackboxNLP) 2020 • Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz
In this paper, we propose a method that quantitatively evaluates the rhetorical capacities of neural LMs.