Medhini Narasimhan

I am pursuing my Master's in Computer Science at the University of Illinois Urbana-Champaign where I'm also a member of the Vision Lab. I work on Computer Vision and Deep Learning research and I am co-advised by Prof. Alexander Schwing and Prof. Svetlana Lazebnik.

I spent the summer of 2018 at Zillow working with Dr. Ivaylo Boyadhzhiev, Prof. Alex Colburn, and Dr. Qi Shan.

In 2017, I obtained my Bachelor's Degree in Information Technoglogy from National Institute of Technology Karnataka, India.

Research

	Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing Neural Information Processing Systems (NIPS), 2018 [Pre-print] [Poster]
	Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering Medhini Narasimhan, Alexander Schwing European Conference on Computer Vision (ECCV), 2018 [Paper] [Poster] [Bib]
	Dynamic video anomaly detection and localization using sparse denoising autoencoders Medhini Narasimhan, Sowmya Kamath Multimedia Tools and Applications Journal (MTAP), 2017 [Paper] [Code] [Bib]
Image Credits: Link	EGA-FMC: Enhanced Genetic Algorithm based Fuzzy K-Modes Clustering for Categorical Data Medhini Narasimhan, Balaji Balasubramanian, Suryansh Kumar, Nagamma Patil International Journal of Bio-Inspired Computation, 2018 [Paper] [Paper (Drive Link)][Code] [Bib]
	Predicting Symptom Severity and Contagiousness of Respiratory Viral Infections *(Best Poster Award)* Medhini Narasimhan, Guiseppe Vietri, Arpit Mehta, Farid Rajabli, Vanessa Aguiar-Pulido, Kalai Mathee, Giri Narasimhan Intelligent Systems for Molecular Biology (ISMB), 2016 [Poster]

Teaching

I am/have been a teaching assistant for the following courses: