📚 Publications

My research has been published in top venues including CVPR (3), ICCV (1), ICLR (2), AAAI (3), IJCAI (2), KDD (1), WACV (5), and leading journals in remote sensing and geoscience.

📖 Peer-Reviewed Journal Papers

1. E. Velterop, B. Uzkent, J. Suckale
   “Safe Shelter: A Case for Prioritizing Housing Quality in Climate Adaptation Policy by Remotely Sensing Roof Tarps in the San Francisco Bay Area”
   Earth’s Future, 2022

2. B. Uzkent, A. Rangnekar, M.J. Hoffman
   “Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters”
   IEEE Transactions on Geoscience and Remote Sensing, 2019
   [PDF] | [arXiv] | [Code]

3. B. Uzkent, M. J. Hoffman, A. Vodacek
   “Integrating Hyperspectral Likelihoods in a Multi-dimensional Assignment Algorithm for Aerial Vehicle Tracking”
   IEEE Journal of Selected Topics in Remote Sensing and Observation, 9(9): 4325–4333, May 2016
   [PDF] | [Code]

4. B. Uzkent, M. J. Hoffman, A. Vodacek, Bin Chen
   “Feature Matching with an Adaptive Optical Sensor in a Ground Target Tracking System”
   IEEE Sensors Journal, 15(1): 510–519, January 2015
   [PDF]

5. B. Uzkent, B.D. Barkana, H. Cevikalp
   “Non-speech environmental sound classification using SVMS with a new set of features”
   International Journal of Innovative Computing, Information and Control, 8(5): 3511–3524, May 2012
   [PDF]

6. B.D. Barkana, B. Uzkent, I. Saricicek
   “Normal and abnormal non-speech audio event detection using MFCC and PR-based feature sets”
   Advanced Materials Research, Volume 601, pp: 200–208, December 2012

7. B.D. Barkana, B. Uzkent, I. Saricicek
   “Environmental noise classifier using a new set of feature parameters based on pitch range”
   Applied Acoustics, 72(11): 841–848, November 2011
   [PDF]

8. B. Uzkent, B.D. Barkana, J. Yang
   “Automatic environmental noise source classification model using fuzzy logic”
   Expert Systems with Applications, 38(7): 8751–8755, July 2011
   [PDF]

🎤 Peer-Reviewed Conference Papers

2024

1. K. Doshi, A. Garg, B. Uzkent, X. Wang, M. Omar
   “A Multimodal Benchmark and Improved Architecture for Zero Shot Learning”
   IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

2. J. Yi, B. Uzkent, O. Ignat, Z. Li, A. Garg, X. Yu, L. Liu
   “Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models”
   IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

2023

1. B. Uzkent, A. Garg, W. Zhou, K. Doshi, J. Yi, X. Wang, M. Omar
   “Dynamic Inference with Grounding Based Vision and Language Models”
   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

2. M. Yin, B. Uzkent, Y. Shen, H. Jin
   “GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer”
   AAAI Conference on Artificial Intelligence, February 2023

2022

1. S. Gao, B. Uzkent, Y. Shen, H. Huang, H. Jin
   “Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models”
   International Conference on Learning Representations (ICLR), 2022

2. S. Chakraborty, B. Uzkent, K. Ayush, E. Sheehan, S. Ermon
   “Efficient Conditional Pre-training for Transfer Learning”
   CVPR Workshops, June 2022
   [arXiv]

3. Q. Lu, Y.C. Shu, B. Uzkent, T. Hua, Y. Shen, H. Jin
   “Lite-MDETR: A Lightweight Multi-Modal Detector”
   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

2021

1. K. Ayush, B. Uzkent, C. Meng, M. Burke, D. Lobell, S. Ermon
   “Geography-Aware Self-Supervised Learning”
   IEEE/CVF International Conference on Computer Vision (ICCV), October 2021
   [PDF] | [Code] | [Project]

2. K. Ayush*, A. Sinha*, J. Song, B. Uzkent, H. Jin, S. Ermon
   “Negative Data Augmentation”
   International Conference on Learning Representations (ICLR), May 2021
   [PDF] | [Code]

3. B. Uzkent, K. Ayush, M. Burke, D. Lobell, S. Ermon
   “Efficient High Resolution Image Processing using Deep Reinforcement Learning”
   AAAI Conference on Artificial Intelligence, January 2021
   [arXiv]

4. J. Lee, D. Grosz, B. Uzkent, S. Zheng, M. Burke, D. Lobell, S. Ermon
   “Predicting Geo-attributes Using Deep Learning and Publicly Available Street-level Images”
   AAAI Conference on Artificial Intelligence, January 2021
   [arXiv] | [Code]

2020

1. K. Ayush, B. Uzkent, M. Burke, D. Lobell, S. Ermon
   “Generating Interpretable Poverty Maps Using Object Detection in Satellite Images”
   International Joint Conference on Artificial Intelligence (IJCAI), August 2020
   [arXiv] | [PDF]

2. B. Uzkent, S. Ermon
   “Learning When and Where to Zoom Using Deep Reinforcement Learning” 🎯 Oral Presentation
   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), July 2020
   [arXiv] | [PDF] | [Code]

3. H.L. Aung, B. Uzkent, M. Burke, D. Lobell, S. Ermon
   “Farmland Parcel Delineation using Spatio-temporal Convolutional Networks”
   CVPR Workshop on Agriculture-Vision, June 2020
   [PDF] | [Code]

4. V. Sarukkai, A. Jain, B. Uzkent, S. Ermon
   “Cloud Removal from Satellite Images Using Spatiotemporal Generator Networks”
   IEEE Winter Conference on Applications of Computer Vision (WACV), March 2020
   [arXiv] | [PDF] | [Code]

5. B. Uzkent, C. Yeh, S. Ermon
   “Efficient Object Detection in Large Images Using Deep Reinforcement Learning”
   IEEE Winter Conference on Applications of Computer Vision (WACV), March 2020
   [arXiv] | [PDF] | [Code]

2019

1. B. Uzkent, E. Sheehan, C. Meng, Z. Tang, D. Lobell, M. Burke, S. Ermon
   “Learning How to Interpret Satellite Images using Wikipedia”
   International Joint Conference on Artificial Intelligence (IJCAI), 2019
   [arXiv] | [PDF] | [Code]

2. E. Sheehan, C. Meng, M. Tan, B. Uzkent, N. Jean, D. Lobell, M. Burke, S. Ermon
   “Predicting Economic Development using Geolocated Wikipedia Articles”
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
   [PDF] | [Code]

2018

1. B. Uzkent, Y. Seo
   “EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking”
   IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1133-1141, March 2018
   [PDF] | [Code]

2017

1. B. Uzkent, A. Rangnekar, M. J. Hoffman, A. Vodacek
   “Aerial Vehicle Tracking by Adaptive Fusion of Likelihood Maps”
   IEEE Workshop on Perception Beyond the Visible Spectrum (CVPR Workshop), 2017
   [PDF] | [Code]

2016

1. B. Uzkent, M. J. Hoffman, A. Vodacek
   “Real-time Target Detection and Tracking in Aerial Video using Hyperspectral Features”
   IEEE Workshop on Moving Cameras Meet Video Surveillance (CVPR Workshop), pp. 36–44, June 2016
   [PDF] | [Code]

2015

1. B. Uzkent, M. J. Hoffman, A. Vodacek
   “Spectral Validation of Measurements in a Vehicle Tracking DDDAS”
   International Conference on Computational Science, Volume 51, pp. 2493–2502, June 2015
   [PDF]

2. B. Uzkent, M. J. Hoffman, A. Vodacek
   “Background Image Understanding and Adaptive Imaging for Vehicle Tracking”
   SPIE Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII, April 2015
   [PDF]

3. B. Uzkent, M. J. Hoffman, A. Vodacek
   “Efficient Integration of Spectral Features for Vehicle Tracking utilizing an Adaptive Sensor”
   SPIE Video Surveillance and Transportation Imaging Applications, pp. 940707, February 2015
   [PDF]

2014

1. B. Uzkent, M. J. Hoffman, E. Cherry, N. Cahill
   “3-D MRI Cardiac Segmentation using Graph Cuts”
   IEEE Western NY Image Processing Workshop, pp. 47–51, Rochester, NY, November 2014
   [PDF] | [Code]

2013

1. B. Uzkent, M. J. Hoffman, A. Vodacek, J. P. Kerekes, B. Chen
   “Feature matching and adaptive prediction models in an object tracking DDDAS”
   Procedia Computer Science, Volume 18, pp. 1939-1948, 2013
   [PDF]

2011

1. B. Uzkent, B.D. Barkana
   “Pitch range-based feature extraction for audio surveillance systems”
   IEEE International Conference on Information Technology: New Generations (ITNG), pp. 476–480, April 2011
   [PDF]

2010

1. B.D. Barkana, I. Saricicek, B. Uzkent
   “Performances of the ANN, SVM, and K-means clustering methods recognizing different environmental sounds”
   24th European Conference on Operational Research, Lisbon, Portugal, July 2010

2009

1. B. Uzkent, O. Parlaktuna
   “Autonomous parallel parking of non-holonomic vehicles”
   13th National Conference in Middle East Technical University, Ankara, Turkey, 2009

📝 Preprints & Technical Reports

1. T. Poppi, B. Uzkent, A. Garg, L. Porto, G. Kessler, Y. Yang, M. Cornia, L. Baraldi, R. Cucchiara, F. Schiffers
   “CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models”
   arXiv preprint, 2025
   [arXiv]

2. G. Sun, A. Singhal, B. Uzkent, M. Shah, C. Chen, G. Kessler
   “From Frames to Clips: Efficient Key Clip Selection for Long-Form Video Understanding”
   arXiv preprint, 2025
   [arXiv][Project]

3. B. Uzkent, S. Ermon
   “Domain Adaptation Using Adversarial Learning for Studying Low Resolution Images”
   [arXiv]

4. B. Uzkent, E. Sheehan, C. Meng, Z. Tang, M. Burke, D. Lobell, S. Ermon
   “Learning to Interpret Satellite Images in Global Scale Using Wikipedia”
   [arXiv]

5. E. Sheehan, B. Uzkent, C. Meng, Z. Tang, M. Burke, D. Lobell, S. Ermon
   “Learning to interpret satellite images using wikipedia”
   [arXiv]

📊 Summary: 8 Journal Papers • 29 Conference Papers • 5 Preprints

* denotes equal contribution