Anthony Ortiz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
9
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. | Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres |
| 2025 | WACV | Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications. | Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres |
| 2025 | WACV | 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 |
| 2023 | IGARSS | Using an Epitomic Representation Approach to Downscale the Goes-16's Land Surface Temperature Product. | Roberto Garcia, Miguel Velez-Reyes, Anthony Ortiz |
| 2022 | CVPR | 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 |
| 2022 | ICDM | 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 M. Lavista Ferres |
| 2021 | AIES | 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 |
| 2021 | IGARSS | From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. | Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz |
| 2021 | WorldCIST | Object Detection in Rural Roads Through SSD and YOLO Framework. | Luis Barba-Guamn, Jos Eugenio Naranjo, Anthony Ortiz, Juan Guillermo Pinzon Gonzalez |
| 2020 | AAAI | Human-Machine Collaboration for Fast Land Cover Mapping. | Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic |
| 2020 | CVPR | Local Context Normalization: Revisiting Local Normalization. | Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic |
| 2020 | ECCV | Mining Self-similarity: Label Super-Resolution with Epitomic Representations. | Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic |
| 2018 | CVPR | 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 |
| 2017 | IGARSS | Image-based 3D model and hyperspectral data fusion for improved scene understanding. | Anthony Ortiz, Dalton S. Rosario, Olac Fuentes, Simon Blair |