1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay +2
Traditional machine learning models often require powerful hardware, making them unsuitable for deployment on resource-limited devices. Tiny Machine Learning (tinyML) has emerged a…
cs.CV2023
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region
Argho Sarkar, Maryam Rahnemoonfar
For glaciologists, studying ice sheets from the polar regions is critical. With the advancement of deep learning techniques, we can now extract high-level information from the ice…
cs.CV2021★ 1 cited
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis
Argho Sarkar, Maryam Rahnemoonfar
Visual Question Answering system integrated with Unmanned Aerial Vehicle (UAV) has a lot of potentials to advance the post-disaster damage assessment purpose. Providing assistance…