Medhini Narasimhan

Hi! I'm a Ph.D. candidate at UC Berkeley, where I'm advised by Prof. Trevor Darrell and a member of Berkeley AI Research (BAIR). My research focus is on self-supervised and cross-modal representation learning and video understanding.

I completed my Master's in Computer Science at the UIUC where I was advised by Prof. Alexander Schwing and Prof. Svetlana Lazebnik. In 2017, I obtained my Bachelor's Degree from NITK, India.

I've had the pleasure of interning at:

Facebook AI Research, Summer 2019 with Prof. Devi Parikh, Prof. Dhruv Batra and Amanpreet Singh.
Zillow, Summer 2018 with Dr. Ivaylo Boyadhzhiev and Dr. Qi Shan

I am a Snap Research Scholar (2019) and a Siebel Scholar (2018)!

Email | CV | Google Scholar | Github | LinkedIn

Research

	Strumming to the Beat: Audio-Conditioned Contrastive Video Textures Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alyosha Efros, Trevor Darrell arXiv 2021 Paper\| Website\| Video
	Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh European Conference on Computer Vision (ECCV), 2020 Paper
	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 Paper\| Poster\| Video\| Bib
	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\| 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 have been a teaching assistant for the following courses:

Community Service

I have reviewed for:

Conferences: CVPR, ICCV, ECCV, NeurIPS, CoRL
Jounrals: PAMI, CVIU

Cloned from here!