Computer Vision News Computer Vision News 32 Congrats, Doctor Argho! Visual Question Answering (VQA) frameworks have shown remarkable abilities in extracting meaningful information from images through language queries, applicable across various domains like interpreting radiology images, aiding autonomous vehicle navigation, and improving surveillance systems. Despite their potential, VQA technology has not been fully utilized for damage assessment in rapid search and rescue operations. Argho's PhD work pioneers the application of VQA frameworks for comprehensive damage assessment. VQA enables the extraction of diverse information from UAV/satellite images through natural language queries. This highlevel scene information in real-time facilitates rapid damage estimation, leading to increased efficiency and a reduction in the time required for search and rescue operations. Early response to affected areas is vital Argho Sarkar completed his PhD in Information Systems from University of Maryland Baltimore County under the supervision of Maryam Rahnemoonfar. He’s now a Research Fellow in Computational Pathology/Cytology at Memorial Sloan Kettering Cancer Center. His PhD research mainly focused on developing explainable multimodal and uni-modal machine learning approaches for remote sensing applications, especially for damage assessment.
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