11 citations · 12 across the 6 of their papers we have counts for
6 papers
DC3DO: Diffusion Classifier for 3D Objects
Nursena Koprucu, Meher Shashwat Nigam, Shicheng Xu +6
Inspired by Geoffrey Hinton emphasis on generative modeling, To recognize shapes, first learn to generate them, we explore the use of 3D diffusion models for object classification.…
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms
Reza Torbati, Shubham Lohiya, Shivika Singh +2
Multi-Agent Reinforcement Learning (MARL) has enjoyed significant recent progress thanks, in part, to the integration of deep learning techniques for modeling interactions in compl…
MVRackLay: Monocular Multi-View Layout Estimation for Warehouse Racks and Shelves
Pranjali Pathre, Anurag Sahu, Ashwin Rao +5
In this paper, we propose and showcase, for the first time, monocular multi-view layout estimation for warehouse racks and shelves. Unlike typical layout estimation methods, MVRack…
Is Twitter Enough? Investigating Situational Awareness in Social and Print Media during the Second COVID-19 Wave in India
Ishita Vohra, Meher Shashwat Nigam, Aryan Sakaria +2
The pandemic required efficient allocation of public resources and transforming existing ways of societal functions. To manage any crisis, governments and public health researchers…
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam +4
With the growing interest in deep learning algorithms and computational design in the architectural field, the need for large, accessible and diverse architectural datasets increas…
Monocular Multi-Layer Layout Estimation for Warehouse Racks
Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu +5
Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction. To this…