March 7, 2026 – Tucson, AZ
Join us for a Full Day program (8am – 5pm MST)! The workshop is open to all attendees registered for WACV (full conference or workshop/tutorial-only registrations). WACV registration Information can be found here
The 3rd Workshop on Computer Vision for Earth Observation (CV4EO) is conceived as a platform to foster application-oriented, multidisciplinary interactions between the computer vision community and experts from geoscience domains, across academia, non-profit organizations, Earth observation data providers, government agencies and other stakeholders leveraging AI, computer vision, and Earth observation technologies for decision-making in applications such as disaster response, national security, and environmental protection.
FP1 – SSeg: Active Sparse Point-Label Augmentation for Semantic Segmentation – César Borja (University of Zaragoza)*; Carlos Plou (University of Zaragoza); Ruben Martinez-Cantin (University of Zaragoza); Ana C. Murillo (University of Zaragoza)
FP2 – Enhancing Remote Sensing Change Detection via Masked Edge Reconstruction – Shuaiyu Chen (University of Exeter); Fu Wang (University of Exeter); Tianjin Huang (University of Exeter); Xiang Li (University of Bristol); Siyang Song (University of Exeter); Guangliang Cheng (University of Liverpool); Chunbo Luo (University of Exeter); Zeyu Fu (University of Exeter)*
FP3 – DIS2: Disentanglement Meets Distillation with Classwise Attention for Robust Remote Sensing Segmentation under Missing Modalities – Nhi Kieu (Queensland University of Technology)*; Kien Nguyen (Queensland University of Technology); Arnold Wiliem ( Queensland University of Technology); Clinton Fookes ( Queensland University of Technology); Sridha Sridharan (Queensland University of Technology)
FP4 – Neighborhood Feature Pooling for Remote Sensing Image Classification- Fahimeh Orvati Nia (tamu)*; Amirmohammad Mohammadi (Texas A & M University); Salim Al Kharsa (Texas A & M University); Pragati Naikare (Texas A & M University); Zigfried Hampel-Arias (Los Alamos National Laboratory); Joshua Peeples (Texas A & M University)
FP5 – FLASH-SAR: Fast Learning Self-supervised Hierarchical Architecture for SAR – Sai Shruti Prakhya (International Institute of Information Technology, Bangalore)*; Uttam Kumar (International Institute of Information Technology, Bangalore)
SP1 – BRISS: Boundary-aware Remote Sensing Images Semantic Segmentation Network with Multi-scale Fusion – Yuexi Song (National University of Singapore); Kailai Sun (SMART, Massachusetts Institute of Technology)*; Mingyi He (Massachusetts Institute of Technology); Shenhao Wang (University of Florida); Jinhua Zhao (Massachusetts Institute of Technology)
FP6 – Application of AlphaEarth GeoFoundation Model for High-Accuracy Crop Yield Estimation – Jichao Fang (Northern Illinois University)*; Mingda Wu (Univeristy of Wisconsin, Madison); Zhou Zhang (Univeristy of Wisconsin, Madison); Wei Luo (Northern Illinois University)
FP7 – Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): unlocking full-potential for flood inundation mapping – Saurabh Kaushik (University of Wisconsin-Madison)*; Lalit Maurya (University of Portsmouth); Beth Tellman (University of Wisconsin-Madison)
FP8 – When Less is More: Evaluating Structural Pruning in Geospatial Foundation Models – Amina Said (Dublin City University)*; Julia Dietlmeier (Insight Research Ireland Centre for Data Analytics); Margaret McCaul (Dublin City University); Noel O’Connor (Dublin City University)
FP9 – A novel reliability aware patch selection based few shot learning for target recognition and open-set identification in ill posed SAR images – Anisha Chakravorty (IIITDM Kurnool); Abhishek Vimukt (IIITDM Kurnool); Shounak Chakraborty (IIITDM Kurnool)*; Abhishek Soni (IIITDM Kurnool)
FP10 – Multi-Label Classification in Remote Sensing: Leveraging High-Resolution Patches for Low-Resolution Tasks – Shreya Pandey (IIITDM Kurnool); Pragna Echuri (IIITDM Kurnool); Vishnu Meher Vemulapalli (IIITDM Kurnool); Shounak Chakraborty (IIITDM Kurnool)*
FP11 – Accuracy versus Efficiency in Model Selection for Remote Sensing Scientific Workflows – Diellza Sherifi (Technische Universität Berlin)*; Jonathan Bader (Technische Universität Berlin); Francisco Mena (GFZ Helmholtz Centre for Geosciences); Odej Kao (Technische Universität Berlin)
FP12 – Under-Canopy Terrain Reconstruction in Dense Forests Using RGB Imaging and Neural 3D Reconstruction – Refael Sheffer (-); Chen Pinchover (N/A); Haim Zisman (-); Dror Ozeri (-); Roee Litman (-)*
SP2 – Learning Urban Similarity from Aerial Imagery: A Step Toward Foundation Models for Earth-Scale City Understanding – Idan Kligvasser (Verily)*; Yotam Intrator (Google); George Leifman (Google); Yuval Desheh (Google); Aviad Barzilai (Google); Niv Efron (Google); Ehud Rivlin (Google)
SP3 – SuperRivolution: Fine-Scale Rivers from Coarse Temporal Satellite Imagery – Rangel Daroya (University of Massachusetts Amherst)*; Subhransu Maji (University of Massachusetts Amherst)
SP4 – Agricultural Fields Damage Detection in Ukraine Using Sentinel-2 Data and Deep Learning – Leonid Shumilo (Space Research Institute SSAU-NASU)*; Nataliia Kussul (University of Maryland); Sergii Skakun (University of Maryland); Andrii Shelestov (Space Research Institute NASU-SSAU); Sofiia Drozd (KPI); Oleksandr Parkhomchuk (KPI); Volodymyr Kuzin (KPI); Oleksandr Matushevskyi (KPI)
SP5 – Tracking individual tree mortality across the US coasts with deep learning – Henry Chi Hang Yeung (University of Virginia)*; Xi Yang (University of Virginia)
FP13 – FIRE-VLM: A Vision-Language-Driven Reinforcement Learning Framework for UAV Wildfire Tracking in a Physics-Grounded Fire Digital Twin – Chris Webb (Clemson University)*; Mobin Habibpour (Clemson University); Mayamin Hamid Raha (University of Nevada Reno); Ali Reza Tavakkoli (University of Nevada Reno); Janice Coen (NSF NCAR); Fatemeh Afghah (Clemson University)
FP14 – Steering Instruction-Tuned Vision–Language Models for Multi-Label Landcover Classification – Weijia Wang (Northern Illinois University); Jichao Fang (Northern Illinois University)*; Wei Luo (Northern Illinois University)
FP15 – SPEAR: Self-Supervised Sample Efficient Pixel-Level Multi-Modal Spectral Fusion for Earth Observation Applications – Rajiv Ranjan (Plaksha University)*; Udaiveer Singh (Plaksha University); Anjali Aggarwal (Plaksha University); Shashank Tamaskar (Plaksha University); Dharmendra Saraswat (Purdue University)
FP16 – Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery – Lakshay Sharma (Microsoft Corp.)*; Alex Marin (Thomson Reuters)
SP6 – RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data – Tamir Shor (Technion)*; George Leifman (Google); Genady Beryozkin (Google)
SP7 – EarthInfer: Agentic Reasoning with Dynamic Modality Generation for Earth Observation – Samarth P (CognitiveLab)*; Sakshi Rajani (PES University)
