533 citations · 1k across the 30 of their papers we have counts for
4 papers · 1 filter
Exploring Correlation between Labels to improve Multi-Label Classification
Amit Garg, Jonathan Noyola, Romil Verma +2
This paper attempts multi-label classification by extending the idea of independent binary classification models for each output label, and exploring how the inherent correlation b…
Deep Learning for Detecting Robotic Grasps
Ian Lenz, Honglak Lee, Ashutosh Saxena
We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach to solve this problem, which avo…
Multidimensional Membership Mixture Models
Yun Jiang, Marcus Lim, Ashutosh Saxena
We present the multidimensional membership mixture (M3) models where every dimension of the membership represents an independent mixture model and each data point is generated from…
Learning Object Arrangements in 3D Scenes using Human Context
Yun Jiang, Marcus Lim, Ashutosh Saxena
We consider the problem of learning object arrangements in a 3D scene. The key idea here is to learn how objects relate to human poses based on their affordances, ease of use and r…