| Urban semantic 3D reconstruction from multiview satellite imagery MJ Leotta, C Long, B Jacquet, M Zins, D Lipsa, J Shan, B Xu, Z Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 41 | 2019 |
| Self-supervised material and texture representation learning for remote sensing tasks P Akiva, M Purri, M Leotta Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
| Deep CNNs as a method to classify rotating objects based on monostatic RCS E Wengrowski, M Purri, K Dana, A Huston IET Radar, Sonar & Navigation 13 (7), 1092-1100, 2019 | 28 | 2019 |
| H2O-Net: Self-supervised flood segmentation via adversarial domain adaptation and label refinement P Akiva, M Purri, K Dana, B Tellman, T Anderson Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 24 | 2021 |
| Shape from sky: Polarimetric normal recovery under the sky T Ichikawa, M Purri, R Kawahara, S Nobuhara, K Dana, K Nishino Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 17 | 2021 |
| Teaching cameras to feel: Estimating tactile physical properties of surfaces from images M Purri, K Dana Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
| Material Segmentation of Multi-View Satellite Imagery JS Matthew Purri, Jia Xue, Kristin Dana, Matthew Leotta, Dan Lipsa, Zhixin ... arXiv preprint arXiv:1904.08537, 2019 | 8 | 2019 |
| Street to cloud: Improving flood maps with crowdsourcing and semantic segmentation V Sunkara, M Purri, BL Saux, J Adams arXiv preprint arXiv:2011.08010, 2020 | 5 | 2020 |
| Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping J Giezendanner, R Mukherjee, M Purri, M Thomas, M Mauerman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| Angular luminance for material segmentation J Xue, M Purri, K Dana IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 1 | 2020 |
| WATCH: Wide-Area Terrestrial Change Hypercube C Greenwell, J Crall, M Purri, K Dana, N Jacobs, A Hadzic, S Workman, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Training and validating deep learning models for urban flood mapping using public and commercial satellite sensors R Mukherjee, Z Zhang, M Purri, H Friedrich, J Giezendanner, U Lall, ... AGU Fall Meeting Abstracts 2022, H22P-1053, 2022 | | 2022 |
| Surface water detection from passive microwave data during flood events using deep learning R Mukherjee, Z Zhang, M Purri, B Fang, VV Lakshmi, U Lall, B Tellman AGU Fall Meeting Abstracts 2022, H36E-04, 2022 | | 2022 |
| Finch: A Remote Sensing Dataset Management Framework M Purri, K Dana IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
| Methods for Surface Understanding from Multi-Modal Imagery M Purri Rutgers The State University of New Jersey, School of Graduate Studies, 2022 | | 2022 |
| Automating Labels to Train Deep Neural Networks for Water Segmentation on Sentinel-2 and Planetscope Imagery P Akiva, M Purri, T Anderson, V Sunkara, B Tellman, KJ Dana AGU Fall Meeting Abstracts 2020, IN009-07, 2020 | | 2020 |
| Quantifying pore size and density for membranes in the Knudsen and transitional-flow regimes R Castellano, M Purri, E Hernandez, J Shan, N Bui, C Chen, E Meshot, ... APS Division of Fluid Dynamics Meeting Abstracts, A22. 006, 2016 | | 2016 |
| Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks Supplementary Material P Akiva, M Purri, M Leotta | | |
Kristin DanaRutgers UniversityVerified email at rutgers.edu
