Scene coordinates regression (SCR), i.e., predicting 3D coordinates for ...
Value Iteration (VI) is foundational to the theory and practice of moder...
Extracting discriminative local features that are invariant to imaging
v...
We consider local kernel metric learning for off-policy evaluation (OPE)...
We study the problem of learning to assign a characteristic pose, i.e., ...
We consider the offline constrained reinforcement learning (RL) problem,...
Detecting robust keypoints from an image is an integral part of many com...
We consider the problem of imitation from observation (IfO), in which th...
The tremendous recent progress in analyzing the training dynamics of
ove...
We consider the offline reinforcement learning (RL) setting where the ag...
Feature representation plays a crucial role in visual correspondence, an...
This paper presents a new approach for dimension reduction of data obser...
Establishing visual correspondences under large intra-class variations, ...
Establishing visual correspondences under large intra-class variations
r...
Semantic correspondence is the problem of establishing correspondences a...
A quantile is defined as a value below which random draws from a given
d...