Aishwarya Agrawal

me

Aishwarya Agrawal
Graduate Student

Advisor: Dhruv Batra
School of Interactive Computing
Georgia Tech

Email: aishwarya -at- gatech.edu
Lab: 272B College of Computing

About Me

I am a 4th year PhD student in the School of Interactive Computing at Georgia Tech. I am advised by Dhruv Batra and also collaborate closely with Devi Parikh. My research interests lie at the intersection of Computer Vision, Deep Learning and Natural Language Processing.

Before transferring to Georgia Tech, I spent 3 years at Virginia Tech as graduate student working with Dhruv Batra and collaborating with Devi Parikh.

I received my bachelors degree in Electrical Engineering with a minor in Computer Science and Engineering from Indian Institute of Technology Gandhinagar in May 2014.

As a research intern I have spent time at Microsoft Research Redmond in Summer 2017 and Summer 2015, at Allen Institute for Artificial Intelligence in Spring 2017, and at Human Photonics Laboratory in University of Washington Seattle in summer 2013.

Publications

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[ArXiv | Project Page]
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
Gordon Christie*, Ankit Laddha*, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

*equal contribution

Computer Vision and Image Understanding (CVIU), 2017
[Arxiv | Project Page]
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset
Aishwarya Agrawal, Aniruddha Kembhavi, Dhruv Batra, Devi Parikh
[ArXiv]
VQA: Visual Question Answering
Aishwarya Agrawal*, Jiasen Lu*, Stanislaw Antol*, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra

*equal contribution

Special Issue on Combined Image and Language Understanding, International Journal of Computer Vision (IJCV), 2016
[ ArXiv | visualqa.org (data, code, challenge) | slides | talk at GPU Technology Conference (GTC) 2016]
Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal, Dhruv Batra, Devi Parikh
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
[Arxiv | slides | talk at Deep Learning Summer School, Montreal, 2016]
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
Gordon Christie*, Ankit Laddha*, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

*equal contribution

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
[Arxiv | Project Page]
Measuring Machine Intelligence Through Visual Question Answering
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
AI Magazine, 2016
[Paper | ArXiv]
Visual Storytelling
Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, D. Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), 2016
[Arxiv, Project Page]
VQA: Visual Question Answering
Stanislaw Antol*, Aishwarya Agrawal*, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

*equal contribution

International Conference on Computer Vision (ICCV), 2015
[ ICCV Camera Ready Paper | ArXiv | ICCV Spotlight | visualqa.org (data, code, challenge) | slides | talk at GPU Technology Conference (GTC) 2016]
A Novel LBP Based Operator for Tone Mapping HDR Images
Aishwarya Agrawal, Shanmuganathan Raman
International Conference on Signal Processing and Communications (SPCOM-2014)
[Paper |Poster]
Optically clearing tissue as an initial step for 3D imaging of core biopsies to diagnose pancreatic cancer
Ronnie Das, Aishwarya Agrawal, Melissa P. Upton, Eric J. Seibel
SPIE BiOS, International Society for Optics and Photonics, 2014
[Paper]

Videos and Talks

Projects

Shape recovery using Photometric Stereo
Class project for 3D Computer Vision course by Dr. Shanmuganathan Raman
PDF here
Magic Wand Tool for Region Selection
Class project for Digital Image Processing course by Dr. Krishna Prasad
PDF here