HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World

no code implementations • ICCV 2023 • Xin Wang, Taein Kwon, Mahdi Rad, Bowen Pan, Ishani Chakraborty, Sean Andrist, Dan Bohus, Ashley Feniello, Bugra Tekin, Felipe Vieira Frujeri, Neel Joshi, Marc Pollefeys

Building an interactive AI assistant that can perceive, reason, and collaborate with humans in the real world has been a long-standing pursuit in the AI community.

Mistake Detection Mixed Reality +1

Hierarchical Bayesian Modeling for Clustering Sparse Sequences in the Context of Group Profiling

no code implementations • 27 Sep 2018 • Ishani Chakraborty

This algorithm successfully clustered the data and calculated the expected user affiliation in each cluster.

Clustering

Visual-Semantic Scene Understanding by Sharing Labels in a Context Network

no code implementations • 16 Sep 2013 • Ishani Chakraborty, Ahmed Elgammal

We consider the problem of naming objects in complex, natural scenes containing widely varying object appearance and subtly different names.

Data Augmentation Object +1

3D Visual Proxemics: Recognizing Human Interactions in 3D from a Single Image

no code implementations • CVPR 2013 • Ishani Chakraborty, Hui Cheng, Omar Javed

g Unlike previous approaches that directly map people/face locations in 2D image space into features for classification, we first estimate camera viewpoint and people positions in 3D space and then extract spatial configuration features from explicit 3D people positions.

General Classification