| Geography-aware self-supervised learning K Ayush, B Uzkent, C Meng, K Tanmay, M Burke, D Lobell, S Ermon Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 259 | 2021 |
| Negative Data Augmentation A Sinha, K Ayush, J Song, B Uzkent, H Jin, S Ermon International Conference on Learning Representations, 2021 | 144 | 2021 |
| Efficient object detection in large images using deep reinforcement learning B Uzkent, C Yeh, S Ermon Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 130 | 2020 |
| Cloud removal from satellite images using spatiotemporal generator networks V Sarukkai, A Jain, B Uzkent, S Ermon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 123 | 2020 |
| Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters B Uzkent, A Rangnekar, MJ Hoffman IEEE Transactions on Geoscience and Remote Sensing, 2018 | 117 | 2018 |
| Aerial vehicle tracking by adaptive fusion of hyperspectral likelihood maps B Uzkent, A Rangnekar, M Hoffman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 108 | 2017 |
| Non-speech environmental sound classification using SVMs with a new set of features B Uzkent, BD Barkana, H Cevikalp International Journal of Innovative Computing, Information and Control 8 (5 …, 2012 | 96 | 2012 |
| Generating interpretable poverty maps using object detection in satellite images K Ayush, B Uzkent, M Burke, D Lobell, S Ermon Proceedings of the 29th International Joint Conference on Artificial …, 2020 | 90 | 2020 |
| Predicting economic development using geolocated wikipedia articles E Sheehan, C Meng, M Tan, B Uzkent, N Jean, M Burke, D Lobell, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 88 | 2019 |
| Learning when and where to zoom with deep reinforcement learning B Uzkent, S Ermon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 76 | 2020 |
| Efficient Poverty Mapping from High Resolution Remote Sensing Images K Ayush, B Uzkent, KTMBD Lobell, S Ermon Proceedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021 | 63* | 2021 |
| Real-time vehicle tracking in aerial video using hyperspectral features B Uzkent, MJ Hoffman, A Vodacek Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 58 | 2016 |
| Farm parcel delineation using spatio-temporal convolutional networks HL Aung, B Uzkent, M Burke, D Lobell, S Ermon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 44 | 2020 |
| Integrating hyperspectral likelihoods in a multidimensional assignment algorithm for aerial vehicle tracking B Uzkent, MJ Hoffman, A Vodacek IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 37 | 2016 |
| Learning to interpret satellite images using wikipedia B Uzkent, E Sheehan, C Meng, Z Tang, M Burke, D Lobell, S Ermon Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 34 | 2019 |
| Automatic environmental noise source classification model using fuzzy logic B Uzkent, BD Barkana, J Yang Expert systems with applications 38 (7), 8751-8755, 2011 | 34 | 2011 |
| Feature matching and adaptive prediction models in an object tracking DDDAS B Uzkent, MJ Hoffman, A Vodacek, JP Kerekes, B Chen Procedia Computer Science 18, 1939-1948, 2013 | 30 | 2013 |
| Learning to interpret satellite images in global scale using wikipedia B Uzkent, E Sheehan, C Meng, Z Tang, M Burke, D Lobell, S Ermon arXiv preprint arXiv:1905.02506, 2019 | 29 | 2019 |
| EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking B Uzkent, YW Seo 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), pp …, 2018 | 27 | 2018 |
| Environmental noise classifier using a new set of feature parameters based on pitch range BD Barkana, B Uzkent Applied Acoustics 72 (11), 841-848, 2011 | 26 | 2011 |
Stefano ErmonStanford UniversityVerified email at cs.stanford.edu
