Anthony Ortiz

According to our database, Anthony Ortiz authored at least 33 papers between 2017 and 2024.

Collaborative distances:

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

2024

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery.

Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz

CoRR, 2024

A Change Detection Reality Check.

Isaac Corley, Caleb Robinson, Anthony Ortiz

CoRR, 2024

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery.

Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad

CoRR, 2024

2023

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.

Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan Lavista Ferres

Comput. Biol. Medicine, May, 2023

Mask Conditional Synthetic Satellite Imagery.

Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson

CoRR, 2023

Using an Epitomic Representation Approach to Downscale the Goes-16's Land Surface Temperature Product.

Roberto Garcia, Miguel Velez-Reyes, Anthony Ortiz

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

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event.

Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Poverty rate prediction using multi-modal survey and earth observation data.

Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres

Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2023

2022

Mapping Glacial Lakes Using Historically Guided Segmentation Models.

Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

An Artificial Intelligence Dataset for Solar Energy Locations in India.

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

CoRR, 2022

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features.

Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim

Comput. Methods Programs Biomed., 2022

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach.

Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan Lavista Ferres

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

TorchGeo: deep learning with geospatial data.

Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Fast building segmentation from satellite imagery and few local labels.

Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Detecting Cattle and Elk in the Wild from Space.

Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres

CoRR, 2021

Object Detection in Rural Roads Through SSD and YOLO Framework.

Luis Barba-Guamán, José Eugenio Naranjo, Anthony Ortiz, Juan Guillermo Pinzon Gonzalez

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery.

Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz

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

Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.

Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery.

Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Becoming Good at AI for Good.

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.

Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio

CoRR, 2020

Mining self-similarity: Label super-resolution with epitomic representations.

Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic

CoRR, 2020

A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning.

Alonso Granados, Mohammad Sujan Miah, Anthony Ortiz, Christopher Kiekintveld

Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Mining Self-similarity: Label Super-Resolution with Epitomic Representations.

Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic

Proceedings of the Computer Vision - ECCV 2020, 2020

Local Context Normalization: Revisiting Local Normalization.

Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Human-Machine Collaboration for Fast Land Cover Mapping.

Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.

Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup

CoRR, 2019

Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications.

Adrianna Janik, Kris Sankaran, Anthony Ortiz

Proceedings of the 2nd Workshop on Machine Learning Methods in Visualisation for Big Data, 2019

2018

3D Terrain Segmentation in the Swir Spectrum.

Dalton S. Rosario, Anthony Ortiz, Olac Fuentes

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

On the Defense Against Adversarial Examples Beyond the Visible Spectrum.

Anthony Ortiz, Olac Fuentes, Dalton S. Rosario, Christopher Kiekintveld

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images.

Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton S. Rosario, Zachary Bell

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Small Drone Field Experiment: Data Collection & Processing.

Dalton S. Rosario, Christoph Borel, Damon Conover, Ryan McAlinden, Anthony Ortiz, Sarah Shiver, Simon Blair

CoRR, 2017

Image-based 3D model and hyperspectral data fusion for improved scene understanding.

Anthony Ortiz, Dalton S. Rosario, Olac Fuentes, Simon Blair

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017