Medhini Narasimhan

Hi! I'm a Research Scientist at Google Deepmind working on Generative AI, specifically Veo, our video generation model. I work on the core model design and training, and also on Veo's control capabilities. I developed the Image-to-Video feature for Veo that was showcased at Google IO 2024. I also lead the effort to productionize Veo in VideoFX, YouTube DreamScreen, and Google Cloud's Vertex AI.

I graduated with a PhD in Computer Science from UC Berkeley in 2023, where I was advised by Prof. Trevor Darrell and a member of Berkeley AI Research (BAIR). My thesis focused on developing large multimodal models capable of learning representations from videos, specifically to create short visual summaries.

Prior to Berkeley, I completed my Master's in Computer Science at the UIUC advised by Prof. A. Schwing and Prof. S. Lazebnik. In 2017, I obtained my Bachelor's Degree from NITK, India.

I have been fortunate to intern at Facebook AI Research in Summer 2019 and 2022, Google Research in Summer 2021 and at Zillow Research in Summer 2018.

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

Email | CV | Google Scholar | Github | LinkedIn

Research

	Learning and Verification of Task Structure from Instructional Videos Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell arXiv 2023 (In Submission) Paper \| Website \| Code
	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 ECCV 2022 Paper \| Website \| Code
	CLIP-It! Language-Guided Video Summarization Medhini Narasimhan, Anna Rohrbach, Trevor Darrell Neurips 2021 Paper \| Website \| Code
	Strumming to the Beat: Audio-Conditioned Contrastive Video Textures *(Best Paper, Honorable Mention)* Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alyosha Efros, Trevor Darrell WaCV 2022 Paper \| Website \| Code \| Video \| AICC CVPR Workshop Paper
	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 ECCV 2020 Paper
	Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing Neurips 2018 Paper \| Poster \| Video \| Bib
	Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering Medhini Narasimhan, Alexander Schwing 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 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
Journals: PAMI, CVIU

Cloned from here!