533 citations · 1k across the 30 of their papers we have counts for
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Learning Human Activities and Object Affordances from RGB-D Videos
Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena
Understanding human activities and object affordances are two very important skills, especially for personal robots which operate in human environments. In this work, we consider t…
Human Activity Learning using Object Affordances from RGB-D Videos
Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena
Human activities comprise several sub-activities performed in a sequence and involve interactions with various objects. This makes reasoning about the object affordances a central…
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…
Learning to Place New Objects in a Scene
Yun Jiang, Marcus Lim, Changxi Zheng +1
Placing is a necessary skill for a personal robot to have in order to perform tasks such as arranging objects in a disorganized room. The object placements should not only be stabl…