Urban Semantic 3D Reconstruction From Multiview Satellite Imagery. - Matthew J. Leotta; Chengjiang Long; Bastien Jacquet; Matthieu Zins; Dan Lipsa; Jie Shan; Bo Xu 003; Zhixin Li 004; Xu Zhang 022; Shih-Fu Chang; Matthew Purri; Jia Xue; et al. (CVPR Workshops, 2019)

Material Segmentation of Multi-View Satellite Imagery. - Matthew Purri; Jia Xue; Kristin J. Dana; Matthew J. Leotta; Dan Lipsa; Zhixin Li 004; Bo Xu 003; Jie Shan (CoRR, 2019)

Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces from Images. - Matthew Purri; Kristin J. Dana (ECCV (27), 2020)

Angular Luminance for Material Segmentation. - Jia Xue; Matthew Purri; Kristin J. Dana (IGARSS, 2020)

Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation. - Veda Sunkara; Matthew Purri; Bertrand Le Saux; Jennifer Adams (CoRR, 2020)

Shape From Sky: Polarimetric Normal Recovery Under the Sky. - Tomoki Ichikawa; Matthew Purri; Ryo Kawahara; Shohei Nobuhara; Kristin J. Dana; Ko Nishino (CVPR, 2021)

H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement. - Peri Akiva; Matthew Purri; Kristin J. Dana; Beth Tellman; Tyler Anderson (WACV, 2021)

Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. - Peri Akiva; Matthew Purri; Matthew J. Leotta (CVPR, 2022)

Finch: A Remote Sensing Dataset Management Framework. - Matthew Purri; Kristin J. Dana (IGARSS, 2022)

Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping. - Jonathan Giezendanner; Rohit Mukherjee; Matthew Purri; Mitchell Thomas; Max Mauerman; A. K. M. Saiful Islam; Beth Tellman (CVPR Workshops, 2023)

WATCH: Wide-Area Terrestrial Change Hypercube. - Connor Greenwell; Jon Crall; Matthew Purri; Kristin J. Dana; Nathan Jacobs; Armin Hadzic; Scott Workman; Matthew J. Leotta (WACV, 2024)