Aishwarya Agrawal -- Home

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

	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]

	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]

Aishwarya Agrawal

About Me

Publications

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