Sotabase

Career

· Machine Learning Scientist, Amazon Prime Video2022–
· Sr. Research Scientist, Samsung Research America2020–2023
· Postdoctoral Research Fellow, Stanford University2018–2020
· Computer Vision Engineer, Planet Labs2017–2018
· Computer Vision Engineer, Autel Robotics2016–2017
· Computer Vision Algorithm Engineer Intern, Huawei R&D2015–2016
· Ph.D. in Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology2011–2016
· M.S. in Electrical and Computer Engineering, University of Bridgeport2009–2011
· B.S. in Electrical and Electronics Engineering, Eskisehir Osmangazi University2004–2009
· Amazon

Publications (86)

Geography-Aware Self-Supervised Learning
IEEE International Conference on Computer Vision · 2020
292
cited
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters
IEEE Transactions on Geoscience and Remote Sensing · 2017
131
cited
Efficient Object Detection in Large Images Using Deep Reinforcement Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2019
100
cited
Generating Interpretable Poverty Maps using Object Detection in Satellite Images
International Joint Conference on Artificial Intelligence · 2020
93
cited
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2017
86
cited
Predicting Economic Development using Geolocated Wikipedia Articles
Knowledge Discovery and Data Mining · 2019
84
cited
Negative Data Augmentation
International Conference on Learning Representations · 2021
82
cited
Learning When and Where to Zoom With Deep Reinforcement Learning
Computer Vision and Pattern Recognition · 2020
78
cited
NON-SPEECH ENVIRONMENTAL SOUND CLASSIFICATION USING SVMS WITH A NEW SET OF FEATURES
2012
68
cited
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2019
67
cited
Cloud Removal from Satellite Images using Spatiotemporal Generator Networks
2020
66
cited
Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2016
54
cited
Efficient Poverty Mapping from High Resolution Remote Sensing Images
AAAI Conference on Artificial Intelligence · 2021
50
cited
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2020
40
cited
Learning to Interpret Satellite Images Using Wikipedia
International Joint Conference on Artificial Intelligence · 2018
38
cited
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
arXiv.org · 2019
32
cited
Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2016
31
cited
Automatic environmental noise source classification model using fuzzy logic
Expert systems with applications · 2011
25
cited
Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS
International Conference on Conceptual Structures · 2013
24
cited
Environmental noise classifier using a new set of feature parameters based on pitch range
2011
22
cited
Sotabase
Burak Uzkent | Researcher Profile | Sotabase | Sotabase