Burak Uzkent

According to our database, Burak Uzkent authored at least 32 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Amanmeet Garg, Xiang Yu, Linda Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Multimodal Benchmark and Improved Architecture for Zero Shot Learning.

Keval Doshi, Amanmeet Garg, Burak Uzkent, Xiaolong Wang, Mohamed Omar

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dynamic Inference with Grounding Based Vision and Language Models.

Burak Uzkent, Amanmeet Garg, Wentao Zhu, Keval Doshi, Jingru Yi, Xiaolong Wang, Mohamed Omar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Lite-MDETR: A Lightweight Multi-Modal Detector.

Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Conditional Pre-training for Transfer Learning.

Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Negative Data Augmentation.

Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

Proceedings of the 9th International Conference on Learning Representations, 2021

Geography-Aware Self-Supervised Learning.

Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Efficient Poverty Mapping from High Resolution Remote Sensing Images.

Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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 using Deep Reinforcement Learning.

Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

CoRR, 2020

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks.

Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

CoRR, 2020

Efficient Object Detection in Large Images Using Deep Reinforcement Learning.

Burak Uzkent, Christopher Yeh, Stefano Ermon

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks.

Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Generating Interpretable Poverty Maps using Object Detection in Satellite Images.

Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning When and Where to Zoom With Deep Reinforcement Learning.

Burak Uzkent, Stefano Ermon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Farm Parcel Delineation Using Spatio-temporal Convolutional Networks.

Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters.

Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman

IEEE Trans. Geosci. Remote. Sens., 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

Predicting Economic Development using Geolocated Wikipedia Articles.

Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Interpret Satellite Images using Wikipedia.

Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking.

Burak Uzkent, YoungWoo Seo

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps.

Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking.

Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features.

Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Spectral Validation of Measurements in a Vehicle Tracking DDDAS.

Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek

Proceedings of the International Conference on Computational Science, 2015

Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor.

Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek

Proceedings of the Video Surveillance and Transportation Imaging Applications 2015, 2015

2013

Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS.

Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek, John P. Kerekes, Bin Chen

Proceedings of the International Conference on Computational Science, 2013

2011

Automatic environmental noise source classification model using fuzzy logic.

Burak Uzkent, Buket D. Barkana, Jidong Yang

Expert Syst. Appl., 2011

Pitch-Range Based Feature Extraction for Audio Surveillance Systems.

Burak Uzkent, Buket D. Barkana

Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011