Gabriel Tseng

3 papers · 2023–2026 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

AAAI (1) CVPR (1) ICML (1)

Top co-authors

Hannah Kerner (3) Evan Shelhamer (2) Patrick Beukema (2) Henry Herzog (2) Favyen Bastani (2) Joseph Redmon (1) Alexandra Buraczynski (1) Christopher Wilhelm (1) Sebastian Wood (1) Jacob Morrison (1)

Research topics

Deep Learning (3) Computer Vision (2) Machine Learning (2) Architectures (2) Domain-Specific (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Application Areas (1) Models (1) Optimization & Theory (1) Techniques (1)

Keywords

self-supervised learning (2) object detection (1) multimodal learning (1) transformer (1) deep learning (1) remote sensing (1) earth observation (1) machine learning (1) deep learning model (1) foundation model (1) dense prediction (1) domain shift (1) satellite imagery (1) local feature (1) masked modeling (1) crop classification (1) map creation (1) global feature (1) image classification (1) contrastive losses (1)

Papers

OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation CVPR 2026 Galileo: Learning Global & Local Features of Many Remote Sensing Modalities ICML 2025 OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data AAAI 2023