Anthony Ortiz

52 papers A* 2A 1C 6Journal 29Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Core-Set Selection for Data-Efficient Land Cover Segmentation.
IEEE Access
Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2025 J jnl
Core-Set Selection for Data-efficient Land Cover Segmentation.
CoRR
Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2025 J jnl
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing.
CoRR
Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2025 J jnl
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery.
CoRR
Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K. Nagaraju, James Oakleaf, Joseph Kiesecker, Juan M. Lavista Ferres
2025 — conf
Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications.
WACV (Workshops)
Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
2025 — conf
Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data.
TerraBytes
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data.
CoRR
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Tammy Glazer, Gilles Quentin Hacheme, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025 A conf
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery.
WACV
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
2025 J jnl
TorchGeo: Deep Learning With Geospatial Data.
ACM Trans. Spatial Algorithms Syst.
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2024 J jnl
A Change Detection Reality Check.
CoRR
Isaac Corley, Caleb Robinson, Anthony Ortiz
2024 J jnl
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery.
CoRR
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
2024 J jnl
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery.
CoRR
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2023 J jnl
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Comput. Biol. Medicine
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan M. Lavista Ferres
2023 J jnl
Mask Conditional Synthetic Satellite Imagery.
CoRR
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
2023 C conf
Poverty rate prediction using multi-modal survey and earth observation data.
COMPASS
Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2023 J jnl
Poverty rate prediction using multi-modal survey and earth observation data.
CoRR
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2023 — conf
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event.
ICCV (Workshops)
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
2023 J jnl
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event.
CoRR
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
2023 C conf
Using an Epitomic Representation Approach to Downscale the Goes-16's Land Surface Temperature Product.
IGARSS
Roberto Garcia, Miguel Velez-Reyes, Anthony Ortiz
2022 J jnl
An Artificial Intelligence Dataset for Solar Energy Locations in India.
CoRR
Anthony Ortiz, Dhaval Negandhi, Sagar R. Mysorekar, Joseph Kiesecker, Shivaprakash K. Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
2022 — conf
Fast building segmentation from satellite imagery and few local labels.
CVPR Workshops
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Fast building segmentation from satellite imagery and few local labels.
CoRR
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Mapping Glacial Lakes Using Historically Guided Segmentation Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
2022 — conf
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach.
ICDM (Workshops)
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features.
Comput. Methods Programs Biomed.
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan M. Lavista Ferres, Ghassan Hamarneh, Arman Rahmim
2022 — conf
TorchGeo: deep learning with geospatial data.
SIGSPATIAL/GIS
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2021 C conf
Becoming Good at AI for Good.
AIES
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
2021 J jnl
Becoming Good at AI for Good.
CoRR
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
2021 J jnl
Detecting Cattle and Elk in the Wild from Space.
CoRR
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres
2021 C conf
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery.
IGARSS
Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz
2021 — conf
Object Detection in Rural Roads Through SSD and YOLO Framework.
WorldCIST (1)
Luis Barba-Guamán, José Eugenio Naranjo, Anthony Ortiz, Juan Guillermo Pinzon Gonzalez
2021 — conf
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
GoodIT
Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021 J jnl
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
CoRR
Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021 C conf
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery.
COMPASS
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
2021 J jnl
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery.
CoRR
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
2021 J jnl
TorchGeo: deep learning with geospatial data.
CoRR
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2020 — conf
A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning.
GameSec
Alonso Granados, Mohammad Sujan Miah, Anthony Ortiz, Christopher Kiekintveld
2020 A* conf
Human-Machine Collaboration for Fast Land Cover Mapping.
AAAI
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2020 A* conf
Local Context Normalization: Revisiting Local Normalization.
CVPR
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
2020 J jnl
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
CoRR
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
2020 — conf
Mining Self-similarity: Label Super-Resolution with Epitomic Representations.
ECCV (26)
Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic
2020 J jnl
Mining self-similarity: Label super-resolution with epitomic representations.
CoRR
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
2019 J jnl
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
CoRR
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup
2019 J jnl
Human-Machine Collaboration for Fast Land Cover Mapping.
CoRR
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2019 — conf
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications.
MLVis@EuroVis
Adrianna Janik, Kris Sankaran, Anthony Ortiz
2019 J jnl
Local Context Normalization: Revisiting Local Normalization.
CoRR
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
2018 J jnl
3D Terrain Segmentation in the SWIR Spectrum.
CoRR
Dalton S. Rosario, Anthony Ortiz, Olac Fuentes
2018 — conf
3D Terrain Segmentation in the Swir Spectrum.
WHISPERS
Dalton S. Rosario, Anthony Ortiz, Olac Fuentes
2018 — conf
Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images.
CVPR Workshops
Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton S. Rosario, Zachary Bell
2018 — conf
On the Defense Against Adversarial Examples Beyond the Visible Spectrum.
MILCOM
Anthony Ortiz, Olac Fuentes, Dalton S. Rosario, Christopher Kiekintveld
2017 C conf
Image-based 3D model and hyperspectral data fusion for improved scene understanding.
IGARSS
Anthony Ortiz, Dalton S. Rosario, Olac Fuentes, Simon Blair
2017 J jnl
Small Drone Field Experiment: Data Collection & Processing.
CoRR
Dalton S. Rosario, Christoph Borel, Damon Conover, Ryan McAlinden, Anthony Ortiz, Sarah Shiver, Simon Blair