Research
My research focuses on exploring and addressing the challenges of applying visual learning algorithms to real-world scenarios.
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Optimizing Visual In-Context Learning in Large Multimodal Models
Garvita Allabadi,
Roberto Estevão,
Yuxiong Wang,
Emre Kiciman,
Ranveer Chandra
Under Review, 2025
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Learning to Detect Novel Species with SAM in the Wild
Garvita Allabadi,
Ana Lucic,
Yuxiong Wang,
Vikram Adve
IJCV, 2024
[Paper]
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Generalized Open-World Semi-Supervised Object Detection
Garvita Allabadi,
Ana Lucic,
Siddarth Aananth,
Tiffany Yang,
Yuxiong Wang,
Vikram Adve
NeurIPS Workshop, 2024
[Paper]
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From N to N+1: Learning to Detect Novel Animals with SAM in the Wild
Garvita Allabadi,
Ana Lucic,
Yuxiong Wang,
Vikram Adve
CVPR Workshop, 2023
[Paper] [Poster]
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smol: Sensing Soil Moisture using LoRa
Garvita Allabadi*,
Daniel Kiv*,
Berkay Kaplan,
Robin Kravets
MobiCom Workshop, 2021
[Paper]
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METIS: Resource and Context-Aware Monitoring of Finite State Properties
Garvita Allabadi,
Aritra Dhar,
Ambreen Bashir,
Rahul Purandare
RV, 2018
[Paper]
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Industry Experience
- Microsoft Research, Research Intern, Research for Industry team [05/2024 - 08/2024]
- Amazon, Software Development Engineering Intern, Amazon Care [06/2021 - 08/2021]
- Microsoft, Software Engineer I and Software Engineer II, Azure Backup team [07/2016 - 08/2020]
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