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09/19/2023
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
We focus on the task of soundscape mapping, which involves predicting th...
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09/04/2023
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
We introduce a novel training strategy for stereo matching and optical f...
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07/29/2023
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
We propose a novel weakly supervised approach for creating maps using fr...
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05/31/2023
Fine-Grained Property Value Assessment using Probabilistic Disaggregation
The monetary value of a given piece of real estate, a parcel, is often r...
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11/28/2022
A Visual Active Search Framework for Geospatial Exploration
Many problems can be viewed as forms of geospatial search aided by aeria...
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11/01/2022
Geo-Information Harvesting from Social Media Data
As unconventional sources of geo-information, massive imagery and text m...
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06/29/2022
Causality for Inherently Explainable Transformers: CAT-XPLAIN
There have been several post-hoc explanation approaches developed to exp...
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04/04/2022
Revisiting Near/Remote Sensing with Geospatial Attention
This work addresses the task of overhead image segmentation when auxilia...
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10/18/2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Most research on domain adaptation has focused on the purely unsupervise...
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05/04/2021
Intensity Harmonization for Airborne LiDAR
Constructing a point cloud for a large geographic region, such as a stat...
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04/11/2021
Towards a Collective Agenda on AI for Earth Science Data Analysis
In the last years we have witnessed the fields of geosciences and remote...
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03/08/2021
Content-Based Detection of Temporal Metadata Manipulation
Most pictures shared online are accompanied by a temporal context (i.e.,...
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12/29/2020
Learning a Dynamic Map of Visual Appearance
The appearance of the world varies dramatically not only from place to p...
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12/22/2020
A Structure-Aware Method for Direct Pose Estimation
Estimating camera pose from a single image is a fundamental problem in c...
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12/18/2020
Dynamic Traffic Modeling From Overhead Imagery
Our goal is to use overhead imagery to understand patterns in traffic fl...
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12/04/2020
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
Most galaxies in the nearby Universe are gravitationally bound to a clus...
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11/30/2020
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's di...
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10/06/2020
Weakly-Supervised Feature Learning via Text and Image Matching
When training deep neural networks for medical image classification, obt...
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09/09/2020
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
Recent works have shown that deep neural networks can achieve super-huma...
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07/29/2020
Single Image Cloud Detection via Multi-Image Fusion
Artifacts in imagery captured by remote sensing, such as clouds, snow, a...
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06/25/2020
Estimating Displaced Populations from Overhead
We introduce a deep learning approach to perform fine-grained population...
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06/14/2020
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
Roadway free-flow speed captures the typical vehicle speed in low traffi...
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03/02/2020
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
Generalization is one of the key challenges in the clinical validation a...
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02/27/2020
Joint 2D-3D Breast Cancer Classification
Breast cancer is the malignant tumor that causes the highest number of c...
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02/27/2020
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
Automated methods for breast cancer detection have focused on 2D mammogr...
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02/27/2020
Defense-PointNet: Protecting PointNet Against Adversarial Attacks
Despite remarkable performance across a broad range of tasks, neural net...
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09/16/2019
Learning Geo-Temporal Image Features
We propose to implicitly learn to extract geo-temporal image features, w...
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09/16/2019
Learning to Map Nearly Anything
Looking at the world from above, it is possible to estimate many propert...
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06/24/2019
Remote Estimation of Free-Flow Speeds
We propose an automated method to estimate a road segment's free-flow sp...
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01/17/2019
FARSA: Fully Automated Roadway Safety Assessment
This paper addresses the task of road safety assessment. An emerging app...
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10/22/2018
A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
We propose a neural network component, the regional aggregation layer, t...
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08/02/2018
What Goes Where: Predicting Object Distributions from Above
In this work, we propose a cross-view learning approach, in which images...
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03/28/2018
Learning to Look around Objects for Top-View Representations of Outdoor Scenes
Given a single RGB image of a complex outdoor road scene in the perspect...
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08/09/2017
A Unified Model for Near and Remote Sensing
We propose a novel convolutional neural network architecture for estimat...
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05/13/2017
Revisiting IM2GPS in the Deep Learning Era
Image geolocalization, inferring the geographic location of an image, is...
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12/09/2016
Understanding and Mapping Natural Beauty
While natural beauty is often considered a subjective property of images...
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12/08/2016
Predicting Ground-Level Scene Layout from Aerial Imagery
We introduce a novel strategy for learning to extract semantically meani...
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08/19/2016
Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
We propose a novel method for detecting horizontal vanishing points and ...
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04/07/2016
Horizon Lines in the Wild
The horizon line is an important contextual attribute for a wide variety...
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10/13/2015
Wide-Area Image Geolocalization with Aerial Reference Imagery
We propose to use deep convolutional neural networks to address the prob...
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04/15/2013
