Anita Rau

Hi! I am a Postdoc at MARVL, the Medical AI and Computer Vision Lab at Stanford University, where I am advised by Serena Yeung-Levy.
My research is at the intersection of AI and computer vision, with a focus on automating the spatial and semantic understanding of video. I am particularly interested in highly dynamic, high-stakes environments—such as surgery—that involve fine-grained actions, complex visual scenes, and decision processes that are difficult to capture exhaustively in standard datasets. By integrating multi-modal data, I aim to develop generalizable models that can interpret and act on real-world scenarios, with the goal of supporting decision-making, enhancing training, and improving safety in critical applications.
Before joining MARVL, I earned my PhD from University College London, where I was part of the Surgical Robot Vision Group advised by Dan Stoyanov. During my PhD, I also interned at Niantic Research in London. Prior to that, I received an MSc in Computational Statistics and Machine Learning from UCL and a BSc in Mathematics and Economics from the University of Mannheim.
news
Mar 23, 2025 | Our Video Action Differencing project page is online. |
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Mar 01, 2025 | BIOMEDICA has been accepted to CVPR 2025! |
Feb 16, 2025 | Our GitHub repo for EMD-NeRF is now online. |
Jan 27, 2025 | Our work Video Action Differencing was accepted at ICLR 2025! Preprint coming soon. |
Jan 16, 2025 | The preprint for our latest work, BIOMEDICA, is now online! Find > 24 million image-text pairs for VLM training! |
highlighted publications
- BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureCVPR , 2025
- Video Action DifferencingICLR , 2025
- Robust Semi-supervised Detection of Hands in Diverse Open Surgery EnvironmentsIn Machine Learning for Healthcare Conference , 2023
- Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopyInternational journal of computer assisted radiology and surgery , 2019