Scholar
Sagar Vaze
Google Scholar ID: lvuOknUAAAAJ
Mistral AI / VGG, University of Oxford
Citations & Impact
Citations
1,614
H-index
11
i10-index
11
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. Paper 'No Representation Rules Them All in Category Discovery', NeurIPS 2023.
- 2. Paper 'GeneCIS: A Benchmark for General Conditional Image Similarity', CVPR 2023 (Highlighted Paper, 2.5% of submissions).
- 3. Paper 'Zero-Shot Category-Level Object Pose Estimation', ECCV 2022.
- 4. Paper 'Generalized Category Discovery', CVPR 2022.
- 5. Paper 'Open-Set Recognition: a Good Closed-Set Classifier is All You Need?', ICLR 2022 (Oral, 1.6% of submissions).
- 6. Paper 'Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement', ICRA 2022.
- 7. Paper 'Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment', IEEE JBHI, 2020 (Impact Factor: ~4.2).
- 8. Paper 'Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks', AI For Social Good Workshop (Harvard CRCS).
- 9. Paper 'SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework', Climate Change AI Workshop (ICLR 2020).
- 10. Paper 'Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound', PIPPI Workshop (MICCAI 2018).
Research Experience
- 1. Research Scientist at Mistral AI, working on multi-modal language models.
- 2. Internship experiences at Meta AI (FAIR): worked with Ishan Misra in New York, and then joined the Segment Anything team with Ross Girshick.
Education
- PhD from the VGG, Oxford University, supervised by Andrew Zisserman and Andrea Vedaldi
Background
- Research Scientist, focusing on multi-modal language models. Completed a PhD at the VGG, Oxford University, working on representation learning in computer vision.
Co-authors