Official pytorch implementation for "DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes" (IEEE JSTARS2025)
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Updated
Mar 4, 2026 - Jupyter Notebook
Official pytorch implementation for "DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes" (IEEE JSTARS2025)
[CVPR 2026] C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion
A Training Objective for Interpretable Monosemantic Representations
MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models (MICCAI 2025 COMPAYL Oral)
MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models (MICCAI 2025 COMPAYL Oral)
An interpretability adapter on top of a vision foundation backbone that learns sparse, class-independent features for globally interpretable image classification.
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