Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images. - Ujwala Bhangale; Surya S. Durbha; Abhishek Potnis; Rajat C. Shinde (IGARSS, 2019)

Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications. - Kuldeep R. Kurte; Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde (IGARSS, 2019)

Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning. - Abhishek V. Potnis; Rajat C. Shinde; Surya S. Durbha; Kuldeep R. Kurte (IGARSS, 2019)

Compressive Sensing Based Reconstruction and Pixel-Level Classification of Very High-Resolution Disaster Satellite Imagery Using Deep Learning. - Rajat C. Shinde; Abhishek V. Potnis; Surya S. Durbha; Prakash Andugula (IGARSS, 2019)

Towards Natural Language Question Answering Over Earth Observation Linked Data Using Attention-Based Neural Machine Translation. - Abhishek V. Potnis; Rajat C. Shinde; Surya S. Durbha (IGARSS, 2020)

Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception. - Rajat C. Shinde; Abhishek V. Potnis; Surya S. Durbha (IGARSS, 2020)

Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs). - Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde; Pratyush V. Talreja (IGARSS, 2021)

Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds. - Rajat C. Shinde; Surya S. Durbha; Abhishek V. Potnis; Pratyush V. Talreja; Gaganpreet Singh (IGARSS, 2021)

Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds. - Pratyush V. Talreja; Surya S. Durbha; Rajat C. Shinde; Abhishek V. Potnis (IGARSS, 2021)

Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions. - Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde (ISPRS Int. J. Geo Inf., 2021)

Data-Driven Transform Based Adaptive Compressive Sensing Framework for 3D Reconstruction of Forests. - Rajat C. Shinde; Surya S. Durbha; Pratyush V. Talreja (ICPR Workshops (2), 2022)

Unsupervised Stream Learning for 3D Lidar Point Clouds. - Shreelakshmi C. R; Surya S. Durbha; Rajat C. Shinde; Pratyush V. Talreja; Gaganpreet Singh (IGARSS, 2023)

Unsupervised Domain Adaptation Using Generative Adversarial Network for Extreme Events Monitoring. - Pratyush V. Talreja; Surya S. Durbha; Rajat C. Shinde; Shreelakshmi C. R (IGARSS, 2023)

Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests. - Rajat C. Shinde; Surya S. Durbha (Remote. Sens., 2023)

Adaptive LiDAR Reconstruction by Convolutional Compressive Sensing Network and Multivariate Empirical Mode Decomposition. - Rajat C. Shinde; Surya S. Durbha (Signal Process., 2023)

Landslide-as-a-Service: Standards-driven Landslide Mapping Framework using Machine Learning and GeoDataCube. - Chetan Mahajan; Rajat C. Shinde; Gérald Fenoy; Surya S. Durbha (ICDM (Workshops), 2024)