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Xiaoxiang Zhu

7 papers · 2018–2023 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird
🚀 Conference Pioneer

Venues

ECCV (3) NeurIPS (2) AAAI (1) ICCV (1)

Top co-authors

David Dao (2) Lichao Mou (2) Björn Lütjens (2) Danfeng Hong (2) Alexandre Lacoste (1) Pu Jin (1) Sanja Scepanovic (1) Laura GIUSTARINI (1) Dejing Dou (1) Juepeng Zheng (1)

Research topics

Computer Vision (4) Domain-Specific (3) Deep Learning (2) Machine Learning (2) Analysis (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Core AI (1) Models (1) Techniques (1)

Keywords

remote sensing (2) satellite imagery (2) semantic segmentation (2) object detection (1) self-supervised learning (1) deep learning (1) class imbalance (1) spatio-temporal analysis (1) foundation model (1) feature engineering (1) public health (1) aerial imagery (1) land cover mapping (1) tree detection (1) carbon stock (1) earth monitoring (1) image classification (1) medical prescription (1) contrastive learning (1) semi-supervised learning (1)

Papers

GEO-Bench: Toward Foundation Models for Earth Monitoring NeurIPS 2023 Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation ICCV 2023 MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery NeurIPS 2023 ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery AAAI 2022 Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution ECCV 2020 Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition ECCV 2020 Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification ECCV 2018