Rajat C. Shinde

According to our database, Rajat C. Shinde authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adaptive LiDAR Reconstruction by Convolutional Compressive Sensing Network and Multivariate Empirical Mode Decomposition.

Rajat C. Shinde, Surya S. Durbha

Signal Process., December, 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., March, 2023

Unsupervised Domain Adaptation Using Generative Adversarial Network for Extreme Events Monitoring.

Pratyush V. Talreja, Surya S. Durbha, Rajat C. Shinde, Shreelakshmi C. R

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Unsupervised Stream Learning for 3D Lidar Point Clouds.

Shreelakshmi C. R, Surya S. Durbha, Rajat C. Shinde, Pratyush V. Talreja, Gaganpreet Singh

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Data-Driven Transform Based Adaptive Compressive Sensing Framework for 3D Reconstruction of Forests.

Rajat C. Shinde, Surya S. Durbha, Pratyush V. Talreja

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception.

Rajat C. Shinde, Abhishek V. Potnis, Surya S. Durbha

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications.

Kuldeep R. Kurte, Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images.

Ujwala Bhangale, Surya S. Durbha, Abhishek Potnis, Rajat C. Shinde

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019