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.
Zero-Shot Category-Level Object Pose Estimation
Walter Goodwin*, Sagar Vaze*, Ioannis Havoutis, Ingmar Posner
ECCV 2022.
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Generalized Category Discovery
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
CVPR 2022.
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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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Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
ICRA 2022
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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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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)
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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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