Argho Sarkar

Generative AI Scientist, Cotiviti

Joined

May 2024

Names

Argho Sarkar (Preferred)

Emails

****@umbc.edu (Confirmed)

Personal Links

Career & Education History

Generative AI Scientist

Cotiviti (cotiviti.com)

2025 – Present

Postdoc

Memorial Sloan Kettering Cancer Centre (mskcc.org)

2024 – 2025

PhD student

University of Maryland, Baltimore County (umbc.edu)

2019 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

FloodNet: A high resolution aerial imagery dataset for post flood scene understanding
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin Murphy
- IEEE Access
- Readers: Everyone
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay, Maryam Rahnemoonfar, Tinoosh Mohsenin
- CoRR 2024
- Readers: Everyone
SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery
Argho Sarkar, Tashnim Chowdhury, Robin Roberson Murphy, Aryya Gangopadhyay, Maryam Rahnemoonfar
- IEEE Transactions on Geoscience and Remote Sensing
- Readers: Everyone
RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment
Argho Sarkar, Maryam Rahnemoonfar
- IGARSS 2023
- Readers: Everyone
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region
Argho Sarkar, Maryam Rahnemoonfar
- CoRR 2023
- Readers: Everyone
Grad-Cam Aware Supervised Attention for Visual Question Answering for Post-Disaster Damage Assessment
Argho Sarkar, Maryam Rahnemoonfar
- ICIP 2022
- Readers: Everyone
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis
Argho Sarkar, Maryam Rahnemoonfar
- CoRR 2021
- Readers: Everyone
UAV-VQG: Visual Question Generation Framework on UAV Images
Argho Sarkar, Maryam Rahnemoonfar
- IEEE BigData 2021
- Readers: Everyone

View all 13 publications