UAV-VQG: Visual Question Generation Framework on UAV Images. - Argho Sarkar; Maryam Rahnemoonfar (IEEE BigData, 2021)

VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. - Argho Sarkar; Maryam Rahnemoonfar (IGARSS, 2021)

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. - Maryam Rahnemoonfar; Tashnim Chowdhury; Argho Sarkar; Debvrat Varshney; Masoud Yari; Robin Roberson Murphy (IEEE Access, 2021)

Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods. - Masoud Yari; Oluwanisola Ibikunle; Debvrat Varshney; Tashnim Chowdhury; Argho Sarkar; John Paden; Jilu Li; Maryam Rahnemoonfar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Grad-Cam Aware Supervised Attention for Visual Question Answering for Post-Disaster Damage Assessment. - Argho Sarkar; Maryam Rahnemoonfar (ICIP, 2022)

RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment. - Argho Sarkar; Maryam Rahnemoonfar (IGARSS, 2023)

Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region. - Argho Sarkar; Maryam Rahnemoonfar (CoRR, 2023)

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 Trans. Geosci. Remote. Sens., 2023)

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)