Burak Uzkent | DeepAI

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∙ 01/13/2023

GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer

The recently proposed Vision transformers (ViTs) have shown very impress...

5 Miao Yin, et al. ∙

∙ 02/09/2021

Negative Data Augmentation

Data augmentation is often used to enlarge datasets with synthetic sampl...

16 Abhishek Sinha, et al. ∙

∙ 11/20/2020

Efficient Conditional Pre-training for Transfer Learning

Almost all the state-of-the-art neural networks for computer vision task...

6 Shuvam Chakraborty, et al. ∙

∙ 11/19/2020

Geography-Aware Self-Supervised Learning

Contrastive learning methods have significantly narrowed the gap between...

2 Kumar Ayush, et al. ∙

∙ 06/15/2020

Predicting Livelihood Indicators from Crowdsourced Street Level Images

Major decisions from governments and other large organizations rely on m...

4 Jihyeon Janel Lee, et al. ∙

∙ 06/07/2020

Efficient Poverty Mapping using Deep Reinforcement Learning

The combination of high-resolution satellite imagery and machine learnin...

5 Kumar Ayush, et al. ∙

∙ 04/11/2020

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks

Farm parcel delineation provides cadastral data that is important in dev...

11 Han Lin Aung, et al. ∙

∙ 03/01/2020

Learning When and Where to Zoom with Deep Reinforcement Learning

While high resolution images contain semantically more useful informatio...

9 Burak Uzkent, et al. ∙

∙ 02/05/2020

Generating Interpretable Poverty Maps using Object Detection in Satellite Images

Accurate local-level poverty measurement is an essential task for govern...

11 Kumar Ayush, et al. ∙

∙ 12/14/2019

Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks

Satellite images hold great promise for continuous environmental monitor...

19 Vishnu Sarukkai, et al. ∙

∙ 12/09/2019

Efficient Object Detection in Large Images using Deep Reinforcement Learning

Traditionally, an object detector is applied to every part of the scene ...

98 Burak Uzkent, et al. ∙

∙ 05/07/2019

Learning to Interpret Satellite Images in Global Scale Using Wikipedia

Despite recent progress in computer vision, finegrained interpretation o...

8 Burak Uzkent, et al. ∙

∙ 05/05/2019

Predicting Economic Development using Geolocated Wikipedia Articles

Progress on the UN Sustainable Development Goals (SDGs) is hampered by a...

0 Evan Sheehan, et al. ∙

∙ 09/19/2018

Learning to Interpret Satellite Images Using Wikipedia

Despite recent progress in computer vision, fine-grained interpretation ...

0 Evan Sheehan, et al. ∙

∙ 01/20/2018

EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking

Computer vision technologies are very attractive for practical applicati...

0 Burak Uzkent, et al. ∙

∙ 11/20/2017

Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters

Hyperspectral imaging holds enormous potential to improve the state-of-t...

0 Burak Uzkent, et al. ∙

∙ 07/12/2017

Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps

Hyperspectral cameras can provide unique spectral signatures for consist...

0 Burak Uzkent, et al. ∙

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