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ORCIDBurak Uzkent
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2020 – today
- 2024
[c25]Keval Doshi, Amanmeet Garg, Burak Uzkent, Xiaolong Wang, Mohamed Omar:
A Multimodal Benchmark and Improved Architecture for Zero Shot Learning. WACV 2024: 2010-2019- [c24]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: 5508-5518 - 2023
- [c23]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: 10954-10962 - [c22]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: 2624-2633 - [c21]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 - [i18]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 abs/2301.05345 (2023) - [i17]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 abs/2311.02536 (2023) - 2022
- [c20]Shuvam Chakraborty, Burak Uzkent, Kumar Ayush
, Kumar Tanmay, Evan Sheehan, Stefano Ermon:
Efficient Conditional Pre-training for Transfer Learning. CVPR Workshops 2022: 4240-4249 - [c19]Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin:
Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR 2022: 12196-12205 - 2021
- [c18]Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI 2021: 12-20 - [c17]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: 268-276 - [c16]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. ICCV 2021: 10161-10170 - [c15]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. ICLR 2021 - [i16]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. CoRR abs/2102.05113 (2021) - 2020
- [c14]Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. CVPR Workshops 2020: 340-349 - [c13]Burak Uzkent, Stefano Ermon:
Learning When and Where to Zoom With Deep Reinforcement Learning. CVPR 2020: 12342-12351 - [c12]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI 2020: 4410-4416 - [c11]Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon:
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. WACV 2020: 1785-1794 - [c10]Burak Uzkent, Christopher Yeh, Stefano Ermon:
Efficient Object Detection in Large Images Using Deep Reinforcement Learning. WACV 2020: 1813-1822 - [i15]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR abs/2002.01612 (2020) - [i14]Burak Uzkent, Stefano Ermon:
Learning When and Where to Zoom with Deep Reinforcement Learning. CoRR abs/2003.00425 (2020) - [i13]Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. CoRR abs/2004.05471 (2020) - [i12]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR abs/2006.04224 (2020) - [i11]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 abs/2006.08661 (2020) - [i10]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. CoRR abs/2011.09980 (2020) - [i9]Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon:
Efficient Conditional Pre-training for Transfer Learning. CoRR abs/2011.10231 (2020)
2010 – 2019
- 2019
- [j3]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. IEEE Trans. Geosci. Remote. Sens. 57(1): 449-461 (2019) - [c9]Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images using Wikipedia. IJCAI 2019: 3620-3626 - [c8]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: 2698-2706 - [i8]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 abs/1905.01627 (2019) - [i7]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 abs/1905.02506 (2019) - [i6]Burak Uzkent, Christopher Yeh, Stefano Ermon:
Efficient Object Detection in Large Images using Deep Reinforcement Learning. CoRR abs/1912.03966 (2019) - [i5]Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon:
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. CoRR abs/1912.06838 (2019) - 2018
- [c7]Burak Uzkent, YoungWoo Seo:
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking. WACV 2018: 1133-1141 - [i4]Burak Uzkent, YoungWoo Seo:
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking. CoRR abs/1801.06729 (2018) - [i3]Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images Using Wikipedia. CoRR abs/1809.10236 (2018) - 2017
- [c6]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CVPR Workshops 2017: 233-242 - [i2]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CoRR abs/1707.03553 (2017) - [i1]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters. CoRR abs/1711.07235 (2017) - 2016
- [j2]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): 4325-4333 (2016) - [c5]Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek:
Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features. CVPR Workshops 2016: 1443-1451 - 2015
- [c4]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: 940707 - [c3]Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek:
Spectral Validation of Measurements in a Vehicle Tracking DDDAS. ICCS 2015: 2493-2502 - 2013
- [c2]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: 1939-1948 - 2011
- [j1]Burak Uzkent, Buket D. Barkana, Jidong Yang:
Automatic environmental noise source classification model using fuzzy logic. Expert Syst. Appl. 38(7): 8751-8755 (2011) - [c1]Burak Uzkent, Buket D. Barkana:
Pitch-Range Based Feature Extraction for Audio Surveillance Systems. ITNG 2011: 476-480
Coauthor Index
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