Medhini Narasimhan

Staff Research Scientist · Google DeepMind

Hi! I'm a Staff Research Scientist at Google DeepMind. I lead Evals for Veo, our video generation model. I've also contributed to Veo's pre-training recipes, image-to-video capability, and post-training. My research interests are in building multimodal models for understanding and generation.

I graduated with a PhD in Computer Science from UC Berkeley in 2023, where I was advised by Prof. Trevor Darrell and was a member of BAIR. Prior to Berkeley, I completed my Master's at UIUC advised by Prof. A. Schwing and Prof. S. Lazebnik, and obtained my Bachelor's from NITK, India.

I am honored to be a Snap Research Scholar (2019) and a Siebel Scholar (2018).

CV
Medhini Narasimhan

Research

Task Structure
arXiv2023
Learning and Verification of Task Structure from Instructional Videos
Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell
Paper · Website · Code
TL;DW
ECCV2022
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency
Medhini Narasimhan, Arsha Nagrani, Chen Sun, Miki Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid
Paper · Website · Code
CLIP-It
NeurIPS2021
CLIP-It! Language-Guided Video Summarization
Medhini Narasimhan, Anna Rohrbach, Trevor Darrell
Paper · Website · Code
WACV2022
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures
★ Best Paper, Honorable Mention
Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alyosha Efros, Trevor Darrell
Paper · Website · Code · Video
ECCV2020
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
Paper
Out of the Box
NeurIPS2018
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing
Paper · Poster · Video
Straight to the Facts
ECCV2018
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
Medhini Narasimhan, Alexander Schwing
Paper · Poster
Anomaly Detection
MTAP2017
Dynamic Video Anomaly Detection and Localization Using Sparse Denoising Autoencoders
Medhini Narasimhan, Sowmya Kamath
Paper · Code
EGA-FMC
IJBIC2018
EGA-FMC: Enhanced Genetic Algorithm Based Fuzzy K-Modes Clustering for Categorical Data
Medhini Narasimhan, Balaji Balasubramanian, Suryansh Kumar, Nagamma Patil
Paper · Code
Symptom Severity
ISMB2016
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
Poster