Xueqing Deng | DeepAI

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∙ 10/20/2022

GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research

Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field...

0 Dalton Lunga, et al. ∙

∙ 04/12/2022

DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization

Recent Knowledge distillation (KD) studies show that different manually ...

0 Xueqing Deng, et al. ∙

∙ 04/12/2022

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

The semantic segmentation of nighttime scenes is a challenging problem t...

5 Xueqing Deng, et al. ∙

∙ 06/24/2021

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation

Neural network-based semantic segmentation has achieved remarkable resul...

9 Xueqing Deng, et al. ∙

∙ 12/08/2020

Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery

Land-cover classification using remote sensing imagery is an important E...

2 Xueqing Deng, et al. ∙

∙ 12/23/2019

Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling

That most deep learning models are purely data driven is both a strength...

16 Xueqing Deng, et al. ∙

∙ 02/19/2019

Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery

This paper develops a deep-learning framework to synthesize a ground-lev...

0 Xueqing Deng, et al. ∙

∙ 07/23/2018

Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval

Conventional remote sensing image retrieval (RSIR) systems usually perfo...

6 Weixun Zhou, et al. ∙

∙ 06/13/2018

What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks

This paper investigates conditional generative adversarial networks (cGA...

2 Xueqing Deng, et al. ∙

∙ 02/21/2018

Spatial Morphing Kernel Regression For Feature Interpolation

In recent years, geotagged social media has become popular as a novel so...

0 Xueqing Deng, et al. ∙

∙ 02/07/2018

Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images

We perform fine-grained land use mapping at the city scale using ground-...

0 Yi Zhu, et al. ∙

∙ 11/09/2017

Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use

This paper performs a quantitative comparison of open-source data availa...

0 Xueqing Deng, et al. ∙