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Anthony Ortiz
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2020 – today
- 2024
- [i19]Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR abs/2401.06762 (2024) - [i18]Isaac Corley, Caleb Robinson, Anthony Ortiz:
A Change Detection Reality Check. CoRR abs/2402.06994 (2024) - 2023
- [j3]Yixi Xu
, Ivan S. Klyuzhin
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. Comput. Biol. Medicine 158: 106882 (2023) - [c20]Simone Fobi
Poverty rate prediction using multi-modal survey and earth observation data. COMPASS 2023: 23-29 - [c19]Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres:
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. ICCV (Workshops) 2023: 3762-3766 - [c18]Roberto Garcia, Miguel Velez-Reyes
Using an Epitomic Representation Approach to Downscale the Goes-16's Land Surface Temperature Product. IGARSS 2023: 3612-3615 - [i17]Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson:
Mask Conditional Synthetic Satellite Imagery. CoRR abs/2302.04305 (2023) - [i16]Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres:
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. CoRR abs/2306.12589 (2023) - [i15]Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres:
Poverty rate prediction using multi-modal survey and earth observation data. CoRR abs/2307.11921 (2023) - 2022
- [j2]Ivan S. Klyuzhin
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. 219: 106750 (2022) - [j1]Anthony Ortiz, Weiyushi Tian
Mapping Glacial Lakes Using Historically Guided Segmentation Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9226-9240 (2022) - [c17]Caleb Robinson, Anthony Ortiz, Hogeun Park
Fast building segmentation from satellite imagery and few local labels. CVPR Workshops 2022: 1462-1470 - [c16]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. SIGSPATIAL/GIS 2022: 19:1-19:12 - [c15]Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan Lavista Ferres:
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. ICDM (Workshops) 2022: 1029-1036 - [i14]Anthony Ortiz, Dhaval Negandhi, Sagar R. Mysorekar, Joseph Kiesecker, Shivaprakash K. Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan Lavista Ferres:
An Artificial Intelligence Dataset for Solar Energy Locations in India. CoRR abs/2202.01340 (2022) - [i13]Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres:
Fast building segmentation from satellite imagery and few local labels. CoRR abs/2206.05377 (2022) - 2021
- [c14]Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres:
Becoming Good at AI for Good. AIES 2021: 664-673 - [c13]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. COMPASS 2021: 138-146 - [c12]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. GoodIT 2021: 79-84 - [c11]Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz:
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. IGARSS 2021: 270-273 - [c10]Luis Barba-Guamán, José Eugenio Naranjo, Anthony Ortiz, Juan Guillermo Pinzon Gonzalez
Object Detection in Rural Roads Through SSD and YOLO Framework. WorldCIST (1) 2021: 176-185 - [i12]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. CoRR abs/2101.07235 (2021) - [i11]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho:
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. CoRR abs/2103.09787 (2021) - [i10]Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres:
Becoming Good at AI for Good. CoRR abs/2104.11757 (2021) - [i9]Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres:
Detecting Cattle and Elk in the Wild from Space. CoRR abs/2106.15448 (2021) - [i8]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. CoRR abs/2111.08872 (2021) - 2020
- [c9]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. AAAI 2020: 2509-2517 - [c8]Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. CVPR 2020: 11273-11282 - [c7]Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic:
Mining Self-similarity: Label Super-Resolution with Epitomic Representations. ECCV (26) 2020: 531-547 - [c6]Alonso Granados, Mohammad Sujan Miah, Anthony Ortiz, Christopher Kiekintveld:
A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning. GameSec 2020: 45-57 - [i7]Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic:
Mining self-similarity: Label super-resolution with epitomic representations. CoRR abs/2004.11498 (2020) - [i6]Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio:
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya. CoRR abs/2012.05013 (2020)
2010 – 2019
- 2019
- [c5]Adrianna Janik, Kris Sankaran, Anthony Ortiz:
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications. MLVis@EuroVis 2019: 7-11 - [i5]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. CoRR abs/1906.04176 (2019) - [i4]Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup:
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. CoRR abs/1908.00061 (2019) - [i3]Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. CoRR abs/1912.05845 (2019) - 2018
- [c4]Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton S. Rosario, Zachary Bell:
Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images. CVPR Workshops 2018: 1196-1205 - [c3]Anthony Ortiz, Olac Fuentes, Dalton S. Rosario, Christopher Kiekintveld:
On the Defense Against Adversarial Examples Beyond the Visible Spectrum. MILCOM 2018: 1-5 - [c2]Dalton S. Rosario, Anthony Ortiz, Olac Fuentes:
3D Terrain Segmentation in the Swir Spectrum. WHISPERS 2018: 1-5 - [i2]Dalton S. Rosario, Anthony Ortiz, Olac Fuentes:
3D Terrain Segmentation in the SWIR Spectrum. CoRR abs/1810.11690 (2018) - 2017
- [c1]Anthony Ortiz, Dalton S. Rosario, Olac Fuentes, Simon Blair:
Image-based 3D model and hyperspectral data fusion for improved scene understanding. IGARSS 2017: 4020-4023 - [i1]Dalton S. Rosario, Christoph Borel, Damon Conover, Ryan McAlinden, Anthony Ortiz, Sarah Shiver, Simon Blair:
Small Drone Field Experiment: Data Collection & Processing. CoRR abs/1711.10693 (2017)
Coauthor Index
aka: Juan M. Lavista Ferres
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