About

I'm a PhD student in the Visual Geometry Group 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 in 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.

Google Scholar / CV

Project Pages

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.

Conference

Zero-Shot Category-Level Object Pose Estimation
Walter Goodwin*, Sagar Vaze*, Ioannis Havoutis, Ingmar Posner
ECCV, 2022.
Paper / Code

Generalized Category Discovery
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
CVPR, 2022.
Paper / Code

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).
Paper / Code

Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
ICRA, 2022.
Paper / Code

Journal

Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment
Sagar Vaze, Weidi Xie, Ana Namburete
In: IEEE Journal of Biomedical and Health Informatics (Impact Factor: ~4.2) , 2020.
Paper / Project Page / Code

Workshop

Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks
Sagar Vaze, Conrad James Foley, Mohamed El Amine Seddiq, Alexey Unagaev, Natalia Efremova
In: AI For Social Good (With Harvard CRCS), 2020.
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
In: Climate Change AI (In conjunction with ICLR) , 2020.
Paper

Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound
Sagar Vaze, Ana Namburete
In: Perinatal, Preterm and Paediatric Image analysis (PIPPI, in conjunction with MICCAI) , 2018.
Paper