no code implementations • 9 Jan 2024 • Gauri Gupta, Ritvik Kapila, Ayush Chopra, Ramesh Raskar
Pandemics, notably the recent COVID-19 outbreak, have impacted both public health and the global economy.
1 code implementation • 28 Jun 2023 • Sukriti Verma, Ayush Chopra, Jayakumar Subramanian, Mausoom Sarkar, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy
The two-time scale nature of SAC, which is an actor-critic algorithm, is characterised by the fact that the critic estimate has not converged for the actor at any given time, but since the critic learns faster than the actor, it ensures eventual consistency between the two.
no code implementations • 24 May 2023 • Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu, Michael Wooldridge, Joel Dyer
Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiability of the mathematical operations comprising these models present a challenge to their use in the real world.
1 code implementation • 20 Jul 2022 • Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
Mechanistic simulators are an indispensable tool for epidemiology to explore the behavior of complex, dynamic infections under varying conditions and navigate uncertain environments.
no code implementations • 8 May 2022 • Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
Conditional image generation has paved the way for several breakthroughs in image editing, generating stock photos and 3-D object generation.
no code implementations • 23 Mar 2022 • Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
The goal of this work is to protect sensitive information when learning from point clouds; by censoring the sensitive information before the point cloud is released for downstream tasks.
no code implementations • 17 Mar 2022 • Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
While releasing datasets continues to make a big impact in various applications of computer vision, its impact is mostly realized when data sharing is not inhibited by privacy concerns.
no code implementations • 2 Dec 2021 • Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
In this work, we introduce AdaSplit which enables efficiently scaling SL to low resource scenarios by reducing bandwidth consumption and improving performance across heterogeneous clients.
no code implementations • 9 Oct 2021 • Ayush Chopra, Esma Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar
We introduce DeepABM, a framework for agent-based modeling that leverages geometric message passing of graph neural networks for simulating action and interactions over large agent populations.
no code implementations • 29 Sep 2021 • Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
This is done in a two-step process: first, we develop a method that encodes unstructured image-like modality into a structured representation bifurcated by sensitive and non-sensitive representation.
no code implementations • ICCV 2021 • Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy
Image-based virtual try-on involves synthesizing perceptually convincing images of a model wearing a particular garment and has garnered significant research interest due to its immense practical applicability.
no code implementations • 21 Dec 2020 • Rohan Sukumaran, Parth Patwa, T V Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar
In this study, we understand trends in the spread of COVID-19 by utilizing the results of self-reported COVID-19 symptoms surveys as an alternative to COVID-19 testing reports.
no code implementations • CVPR 2021 • Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar
Recent deep learning models have shown remarkable performance in image classification.
no code implementations • 4 Sep 2020 • Sheshank Shankar, Rishank Kanaparti, Ayush Chopra, Rohan Sukumaran, Parth Patwa, Myungsun Kang, Abhishek Singh, Kevin P. McPherson, Ramesh Raskar
As we await a vaccine, social-distancing via efficient contact tracing has emerged as the primary health strategy to dampen the spread of COVID-19.
no code implementations • 3 Sep 2020 • Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
The ability to efficiently search for images is essential for improving the user experiences across various products.
no code implementations • 3 Sep 2020 • Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji K
Training a classification model on a dataset where the instances of one class outnumber those of the other class is a challenging problem.
no code implementations • 24 Jun 2020 • Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
Deep neural networks (DNNs) are powerful learning machines that have enabled breakthroughs in several domains.
no code implementations • 30 Apr 2020 • Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
Few-shot segmentation (FSS) methods perform image segmentation for a particular object class in a target (query) image, using a small set of (support) image-mask pairs.
1 code implementation • 17 Jan 2020 • Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
An efficient framework for this is composed of two stages: (1) warping (transforming) the try-on cloth to align with the pose and shape of the target model, and (2) a texture transfer module to seamlessly integrate the warped try-on cloth onto the target model image.
no code implementations • 25 Sep 2019 • Ayush Chopra, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy, Vineeth Balasubramanian
Deep neural networks are powerful learning machines that have enabled breakthroughs in several domains.
no code implementations • 17 Feb 2017 • Shubham Dokania, Ayush Chopra, Feroz Ahmad, Anil Singh Parihar
In the present work, we introduce an algorithm for mathematical optimisation that derives its intuition from the hierarchical and distributed operations of the human motor system.