1 citations · 1 across the 8 of their papers we have counts for
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Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion
Junhyuk Heo, Junghwan Park
Open-vocabulary segmentation labels arbitrary categories from a text query without per-class training, yet on remote sensing imagery it underperforms on categories it handles relia…
FLAME: Physics-Guided Neural Operators for Onboard Satellite Methane Detection in Hyperspectral Imagery
Junhyuk Heo, Junghwan Park, Sangcheol Sim +2
Methane is a major driver of near-term climate change, and rapidly identifying its emission sources is a critical climate intervention. Spaceborne hyperspectral imagery is the prim…
MANGO: A Global Single-Date Paired Dataset for Mangrove Segmentation
Junhyuk Heo, Beomkyu Choi, Hyunjin Shin +1
Mangroves are critical for climate-change mitigation, requiring reliable monitoring for effective conservation. While deep learning has emerged as a powerful tool for mangrove dete…
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
Junghwan Park, Woojin Cho, Junhyuk Heo +2
Adapting large pre-trained models to unseen tasks under tight data and compute budgets remains challenging. Meta-learning approaches explicitly learn good initializations, but they…
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression
Woojin Cho, Steve Andreas Immanuel, Junhyuk Heo +1
Multispectral satellite images play a vital role in agriculture, fisheries, and environmental monitoring. However, their high dimensionality, large data volumes, and diverse spatia…