About
I'm a PhD student in the VGG at Oxford University, co-supervised by Andrew Zisserman and Andrea Vedaldi. During my PhD, I have also spent time interning with Ishan Misra at FAIR Labs at Meta New York.
I previously studied Engineering Science, also at Oxford, graduating in 2018. In between graduating and beginning my PhD, I was fortunate to work at CuriousAI in Helsinki (now acquired by Apple) and Founders Factory in London. I have since continued to work with start-ups when time allows. My research is funded by a Facebook AI Research Scholarship.Research
My research focuses on Open World Learning - I am interested in learning representations from limited (labelled) training sets which can generalize to 'open world' data, where the data distribution (e.g categories or domain) may be different.
Generalized Category Discovery
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
CVPR 2022.
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Project Page
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Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
ICLR, 2022 (Oral, 1.6% of submissions).
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Project Page
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Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment
Sagar Vaze, Weidi Xie, Ana Namburete
IEEE JBHI, 2020 (Impact Factor: ~4.2).
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Project Page
Code
Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks
Sagar Vaze, Conrad James Foley, Mohamed El Amine Seddiq, Alexey Unagaev, Natalia Efremova
AI For Social Good Workshop (Harvard CRCS)
Paper
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework
Conrad James Foley, Sagar Vaze, Mohamed El Amine Seddiq, Alexey Unagaev, Natalia Efremova
Climate Change AI Workshop (ICLR 2020)
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Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound
Sagar Vaze, Ana Namburete
PIPPI Workshop (MICCAI 2018)
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