Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. - Tashnim Chowdhury; Maryam Rahnemoonfar; Robin R. Murphy; Odair Fernandes (IEEE BigData, 2020)

Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. - Farshad Safavi; Tashnim Chowdhury; Maryam Rahnemoonfar (IEEE BigData, 2021)

Self Attention Based Semantic Segmentation on a Natural Disaster Dataset. - Tashnim Chowdhury; Maryam Rahnemoonfar (ICIP, 2021)

Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. - Tashnim Chowdhury; 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)

RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment. - Tashnim Chowdhury; Robin R. Murphy; Maryam Rahnemoonfar (CoRR, 2022)

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)