Juan M. Lavista Ferres

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Change Detection

Geospatial Data

Top Venues

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

Publications

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. CoRR (2024)
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
Weak Labeling for Cropland Mapping in Africa. CoRR (2024)
William B. Weeks, Juan M. Lavista Ferres, James N. Weinstein
Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare. Frontiers Artif. Intell. 7 (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)
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. CoRR (2024)
Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR (2023)
Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments. CoRR (2023)
Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres
Open Data on GitHub: Unlocking the Potential of AI. CoRR (2023)
Mayana Pereira, Kevin Greene, Nilima Pisharody, Rahul Dodhia, Jacob N. Shapiro, Juan M. Lavista Ferres
Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic. CoRR (2023)
Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo H. O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. 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. 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)
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)
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Mace: A flexible framework for membership privacy estimation in generative models. Trans. Mach. Learn. Res. 2022 (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)
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (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)
Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman, Judith Klein-Seetharaman
Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome. PSB (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)
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)
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
Mapping industrial poultry operations at scale with deep learning and aerial imagery. CoRR (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)
Anusua Trivedi, Sreya Muppalla, Shreyaan Pathak, Azadeh Mobasher, Pawel Janowski, Rahul Dodhia, Juan M. Lavista Ferres
Improving Lesion Detection by exploring bias on Skin Lesion dataset. CoRR (2020)