Anthony Ortiz

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Damage Assessment

Automatic Segmentation

Satellite Imagery

Top Venues

Publications

Isaac Corley, Caleb Robinson, Anthony Ortiz
A Change Detection Reality Check. CoRR (2024)
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 (2024)
Roberto Garcia, Miguel Velez-Reyes, Anthony Ortiz
Using an Epitomic Representation Approach to Downscale the Goes-16's Land Surface Temperature Product. IGARSS (2023)
Simone Fobi, 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. COMPASS (2023)
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 (2023)
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)
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos Uribe, Arman Rahmim, Juan Lavista Ferres
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 (2023)
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 (2023)
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
Mask Conditional Synthetic Satellite Imagery. CoRR (2023)
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)
Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
Mapping Glacial Lakes Using Historically Guided Segmentation Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
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 (2022)
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. CVPR Workshops (2022)
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 (2022)
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. 219 (2022)
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)
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 (2021)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan 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 (2021)
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
TorchGeo: deep learning with geospatial data. CoRR (2021)
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)
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. COMPASS (2021)
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres
Detecting Cattle and Elk in the Wild from Space. CoRR (2021)
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)
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 (2021)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan 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)
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)
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
Mining self-similarity: Label super-resolution with epitomic representations. CoRR (2020)
Alonso Granados, Mohammad Sujan Miah, Anthony Ortiz, Christopher Kiekintveld
A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning. GameSec (2020)
Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic
Mining Self-similarity: Label Super-Resolution with Epitomic Representations. ECCV (26) (2020)
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
Local Context Normalization: Revisiting Local Normalization. CVPR (2020)
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)
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing 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 (2020)
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 (2019)
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 (2019)
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
Local Context Normalization: Revisiting Local Normalization. CoRR (2019)
Adrianna Janik, Kris Sankaran, Anthony Ortiz
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications. MLVis@EuroVis (2019)
Anthony Ortiz, Olac Fuentes, Dalton S. Rosario, Christopher Kiekintveld
On the Defense Against Adversarial Examples Beyond the Visible Spectrum. MILCOM (2018)
Dalton S. Rosario, Anthony Ortiz, Olac Fuentes
3D Terrain Segmentation in the Swir Spectrum. WHISPERS (2018)
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)
Dalton S. Rosario, Anthony Ortiz, Olac Fuentes
3D Terrain Segmentation in the SWIR Spectrum. CoRR (2018)
Dalton S. Rosario, Christoph Borel, Damon Conover, Ryan McAlinden, Anthony Ortiz, Sarah Shiver, Simon Blair
Small Drone Field Experiment: Data Collection & Processing. CoRR (2017)
Anthony Ortiz, Dalton S. Rosario, Olac Fuentes, Simon Blair
Image-based 3D model and hyperspectral data fusion for improved scene understanding. IGARSS (2017)