Pitch-Range Based Feature Extraction for Audio Surveillance Systems. - Burak Uzkent; Buket D. Barkana (ITNG, 2011)

Automatic environmental noise source classification model using fuzzy logic. - Burak Uzkent; Buket D. Barkana; Jidong Yang (Expert Syst. Appl., 2011)

Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek; John P. Kerekes; Bin Chen (ICCS, 2013)

Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (Video Surveillance and Transportation Imaging Applications, 2015)

Spectral Validation of Measurements in a Vehicle Tracking DDDAS. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (ICCS, 2015)

Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (CVPR Workshops, 2016)

Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking. - Burak Uzkent; Matthew J. Hoffman 001; Anthony Vodacek (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. - Burak Uzkent; Aneesh Rangnekar; Matthew J. Hoffman 001 (CVPR Workshops, 2017)

EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking. - Burak Uzkent; YoungWoo Seo (WACV, 2018)

Learning to Interpret Satellite Images using Wikipedia. - Burak Uzkent; Evan Sheehan; Chenlin Meng; Zhongyi Tang; Marshall Burke; David B. Lobell; Stefano Ermon (IJCAI, 2019)

Predicting Economic Development using Geolocated Wikipedia Articles. - Evan Sheehan; Chenlin Meng; Matthew Tan; Burak Uzkent; Neal Jean; Marshall Burke; David B. Lobell; Stefano Ermon (KDD, 2019)

Learning to Interpret Satellite Images in Global Scale Using Wikipedia. - Burak Uzkent; Evan Sheehan; Chenlin Meng; Zhongyi Tang; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2019)

Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. - Burak Uzkent; Aneesh Rangnekar; Matthew J. Hoffman 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. - Han Lin Aung; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CVPR Workshops, 2020)

Learning When and Where to Zoom With Deep Reinforcement Learning. - Burak Uzkent; Stefano Ermon (CVPR, 2020)

Generating Interpretable Poverty Maps using Object Detection in Satellite Images. - Kumar Ayush; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (IJCAI, 2020)

Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. - Vishnu Sarukkai; Anirudh Jain; Burak Uzkent; Stefano Ermon (WACV, 2020)

Efficient Object Detection in Large Images Using Deep Reinforcement Learning. - Burak Uzkent; Christopher Yeh; Stefano Ermon (WACV, 2020)

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. - Han Lin Aung; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2020)

Efficient Poverty Mapping using Deep Reinforcement Learning. - Kumar Ayush; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2020)

Predicting Livelihood Indicators from Crowdsourced Street Level Images. - Jihyeon Janel Lee; Dylan Grosz; Sicheng Zeng; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2020)

Efficient Poverty Mapping from High Resolution Remote Sensing Images. - Kumar Ayush; Burak Uzkent; Kumar Tanmay; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2021)

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. - Jihyeon Janel Lee; Dylan Grosz; Burak Uzkent; Sicheng Zeng; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2021)

Geography-Aware Self-Supervised Learning. - Kumar Ayush; Burak Uzkent; Chenlin Meng; Kumar Tanmay; Marshall Burke; David B. Lobell; Stefano Ermon (ICCV, 2021)

Negative Data Augmentation. - Abhishek Sinha; Kumar Ayush; Jiaming Song; Burak Uzkent; Hongxia Jin; Stefano Ermon (ICLR, 2021)

Efficient Conditional Pre-training for Transfer Learning. - Shuvam Chakraborty; Burak Uzkent; Kumar Ayush; Kumar Tanmay; Evan Sheehan; Stefano Ermon (CVPR Workshops, 2022)

Lite-MDETR: A Lightweight Multi-Modal Detector. - Qian Lou; Yen-Chang Hsu; Burak Uzkent; Ting Hua; Yilin Shen; Hongxia Jin (CVPR, 2022)

GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. - Miao Yin; Burak Uzkent; Yilin Shen; Hongxia Jin; Bo Yuan 001 (AAAI, 2023)

Dynamic Inference with Grounding Based Vision and Language Models. - Burak Uzkent; Amanmeet Garg; Wentao Zhu; Keval Doshi; Jingru Yi; Xiaolong Wang; Mohamed Omar (CVPR, 2023)

Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. - Shangqian Gao; Burak Uzkent; Yilin Shen; Heng Huang; Hongxia Jin (ICLR, 2023)

A Multimodal Benchmark and Improved Architecture for Zero Shot Learning. - Keval Doshi; Amanmeet Garg; Burak Uzkent; Xiaolong Wang; Mohamed Omar (WACV, 2024)

Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models. - Jingru Yi; Burak Uzkent; Oana Ignat; Zili Li 014; Amanmeet Garg; Xiang Yu; Linda Liu (WACV, 2024)