Burak Uzkent

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 41

Top Topics

Satellite Images

Vehicle Tracking

Reinforcement Learning

Top Venues

Publications

Keval Doshi, Amanmeet Garg, Burak Uzkent, Xiaolong Wang, Mohamed Omar
A Multimodal Benchmark and Improved Architecture for Zero Shot Learning. WACV (2024)
Jingru Yi, Burak Uzkent, Oana Ignat, Zili Li, Amanmeet Garg, Xiang Yu, Linda Liu
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models. WACV (2024)
Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. ICLR (2023)
Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. AAAI (2023)
Jingru Yi, Burak Uzkent, Oana Ignat, Zili Li, Amanmeet Garg, Xiang Yu, Linda Liu
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models. CoRR (2023)
Burak Uzkent, Amanmeet Garg, Wentao Zhu, Keval Doshi, Jingru Yi, Xiaolong Wang, Mohamed Omar
Dynamic Inference with Grounding Based Vision and Language Models. CVPR (2023)
Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer. CoRR (2023)
Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin
Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR (2022)
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
Efficient Conditional Pre-training for Transfer Learning. CVPR Workshops (2022)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. ICCV (2021)
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
Negative Data Augmentation. CoRR (2021)
Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI (2021)
Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. AAAI (2021)
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
Negative Data Augmentation. ICLR (2021)
Burak Uzkent, Stefano Ermon
Learning When and Where to Zoom With Deep Reinforcement Learning. CVPR (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR (2020)
Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. WACV (2020)
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
Efficient Conditional Pre-training for Transfer Learning. CoRR (2020)
Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. CoRR (2020)
Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. CVPR Workshops (2020)
Burak Uzkent, Christopher Yeh, Stefano Ermon
Efficient Object Detection in Large Images Using Deep Reinforcement Learning. WACV (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR (2020)
Jihyeon Janel Lee, Dylan Grosz, Sicheng Zeng, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Crowdsourced Street Level Images. CoRR (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI (2020)
Burak Uzkent, Stefano Ermon
Learning When and Where to Zoom with Deep Reinforcement Learning. CoRR (2020)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. CoRR (2020)
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images using Wikipedia. IJCAI (2019)
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Economic Development using Geolocated Wikipedia Articles. KDD (2019)
Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. CoRR (2019)
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images in Global Scale Using Wikipedia. CoRR (2019)
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, David B. Lobell, Marshall Burke, Stefano Ermon
Predicting Economic Development using Geolocated Wikipedia Articles. CoRR (2019)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. IEEE Trans. Geosci. Remote. Sens. 57 (1) (2019)
Burak Uzkent, Christopher Yeh, Stefano Ermon
Efficient Object Detection in Large Images using Deep Reinforcement Learning. CoRR (2019)
Burak Uzkent, YoungWoo Seo
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking. WACV (2018)
Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images Using Wikipedia. CoRR (2018)
Burak Uzkent, YoungWoo Seo
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking. CoRR (2018)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CVPR Workshops (2017)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters. CoRR (2017)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CoRR (2017)
Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek
Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (9) (2016)
Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek
Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features. CVPR Workshops (2016)
Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek
Spectral Validation of Measurements in a Vehicle Tracking DDDAS. ICCS (2015)
Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek
Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor. Video Surveillance and Transportation Imaging Applications (2015)
Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek, John P. Kerekes, Bin Chen
Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS. ICCS (2013)
Burak Uzkent, Buket D. Barkana, Jidong Yang
Automatic environmental noise source classification model using fuzzy logic. Expert Syst. Appl. 38 (7) (2011)
Burak Uzkent, Buket D. Barkana
Pitch-Range Based Feature Extraction for Audio Surveillance Systems. ITNG (2011)