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08/23/2023
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
Small farms contribute to a large share of the productive land in develo...
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01/04/2023
Building Coverage Estimation with Low-resolution Remote Sensing Imagery
Building coverage statistics provide crucial insights into the urbanizat...
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11/03/2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
During image editing, existing deep generative models tend to re-synthes...
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11/02/2022
Concrete Score Matching: Generalized Score Matching for Discrete Data
Representing probability distributions by the gradient of their density ...
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10/06/2022
On Distillation of Guided Diffusion Models
Classifier-free guided diffusion models have recently been shown to be h...
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09/28/2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Normalizing flows model complex probability distributions using maps obt...
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07/17/2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Unsupervised pre-training methods for large vision models have shown to ...
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04/15/2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Many patterns in nature exhibit self-similarity: they can be compactly d...
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04/04/2022
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution
Automated tracking of urban development in areas where construction info...
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03/16/2022
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Common image-to-image translation methods rely on joint training over da...
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11/08/2021
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Progress toward the United Nations Sustainable Development Goals (SDGs) ...
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06/22/2021
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
High-resolution satellite imagery has proven useful for a broad range of...
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06/12/2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Conditional generative models of high-dimensional images have many appli...
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11/19/2020
Geography-Aware Self-Supervised Learning
Contrastive learning methods have significantly narrowed the gap between...
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10/06/2020
Denoising Diffusion Implicit Models
Denoising diffusion probabilistic models (DDPMs) have achieved high qual...
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03/04/2020
Gaussianization Flows
Iterative Gaussianization is a fixed-point iteration procedure that can ...
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02/10/2020
Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation
Feedforward computations, such as evaluating a neural network or samplin...
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07/18/2019
MintNet: Building Invertible Neural Networks with Masked Convolutions
We propose a new way of constructing invertible neural networks by combi...
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05/07/2019
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Despite recent progress in computer vision, finegrained interpretation o...
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05/05/2019
Predicting Economic Development using Geolocated Wikipedia Articles
Progress on the UN Sustainable Development Goals (SDGs) is hampered by a...
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09/19/2018