2026
ACL 2026 路 Under Review
CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models
T. Poppi, B. Uzkent, A. Garg, L. Porto, G. Kessler, Y. Yang, M. Cornia, L. Baraldi, R. Cucchiara, F. Schiffers
ECCV 2026 路 Under Review
From Frames to Clips: Efficient Key Clip Selection for Long-Form Video Understanding
G. Sun, A. Singhal, B. Uzkent, M. Shah, C. Chen, G. Kessler
ECCV 2026 路 Under Review
Learning to Rank Caption Chains for Video-Text Alignment
A. Blume, B. Uzkent, S. Chaudhuri, G. Kessler
CVPR Workshop 2026 路 Best Paper Candidate
Narrative Aligned Long Form Video Question Answering
R. Jain, K. Doshi, B. Uzkent, G. Kessler
2024
WACV 2024
A Multimodal Benchmark and Improved Architecture for Zero Shot Learning
K. Doshi, A. Garg, B. Uzkent, X. Wang, M. Omar
WACV 2024
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models
J. Yi, B. Uzkent, O. Ignat, Z. Li, A. Garg, X. Yu, L. Liu
2023
CVPR 2023
Dynamic Inference with Grounding Based Vision and Language Models
B. Uzkent, A. Garg, W. Zhou, K. Doshi, J. Yi, X. Wang, M. Omar
AAAI 2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
M. Yin, B. Uzkent, Y. Shen, H. Jin
ICLR 2023
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models
S. Gao, B. Uzkent, Y. Shen, H. Huang, H. Jin
2022
CVPR Workshop 2022
Efficient Conditional Pre-training for Transfer Learning
S. Chakraborty, B. Uzkent, K. Ayush, E. Sheehan, S. Ermon
CVPR 2022
Lite-MDETR: A Lightweight Multi-Modal Detector
Q. Lu, Y.C. Shu, B. Uzkent, T. Hua, Y. Shen, H. Jin
2021
ICCV 2021
Geography-Aware Self-Supervised Learning
K. Ayush, B. Uzkent, C. Meng, M. Burke, D. Lobell, S. Ermon
ICLR 2021
Negative Data Augmentation
K. Ayush*, A. Sinha*, J. Song, B. Uzkent, H. Jin, S. Ermon
AAAI 2021
Efficient High Resolution Image Processing using Deep Reinforcement Learning
B. Uzkent, K. Ayush, M. Burke, D. Lobell, S. Ermon
AAAI 2021
Predicting Geo-attributes Using Deep Learning and Publicly Available Street-level Images
J. Lee, D. Grosz, B. Uzkent, S. Zheng, M. Burke, D. Lobell, S. Ermon
2020
IJCAI 2020
Generating Interpretable Poverty Maps Using Object Detection in Satellite Images
K. Ayush, B. Uzkent, M. Burke, D. Lobell, S. Ermon
CVPR 2020 路 Oral
Learning When and Where to Zoom Using Deep Reinforcement Learning
B. Uzkent, S. Ermon
CVPR Workshop 2020
Farmland Parcel Delineation using Spatio-temporal Convolutional Networks
H.L. Aung, B. Uzkent, M. Burke, D. Lobell, S. Ermon
WACV 2020
Cloud Removal from Satellite Images Using Spatiotemporal Generator Networks
V. Sarukkai, A. Jain, B. Uzkent, S. Ermon
WACV 2020
Efficient Object Detection in Large Images Using Deep Reinforcement Learning
B. Uzkent, C. Yeh, S. Ermon
2019
IJCAI 2019
Learning How to Interpret Satellite Images using Wikipedia
B. Uzkent, E. Sheehan, C. Meng, Z. Tang, D. Lobell, M. Burke, S. Ermon
KDD 2019
Predicting Economic Development using Geolocated Wikipedia Articles
E. Sheehan, C. Meng, M. Tan, B. Uzkent, N. Jean, D. Lobell, M. Burke, S. Ermon
2018
WACV 2018
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking
B. Uzkent, Y. Seo
2017
CVPR Workshop 2017
Aerial Vehicle Tracking by Adaptive Fusion of Likelihood Maps
B. Uzkent, A. Rangnekar, M. J. Hoffman, A. Vodacek
2016
CVPR Workshop 2016
Real-time Target Detection and Tracking in Aerial Video using Hyperspectral Features
B. Uzkent, M. J. Hoffman, A. Vodacek
2015
ICCS 2015
Spectral Validation of Measurements in a Vehicle Tracking DDDAS
B. Uzkent, M. J. Hoffman, A. Vodacek
SPIE 2015
Background Image Understanding and Adaptive Imaging for Vehicle Tracking
B. Uzkent, M. J. Hoffman, A. Vodacek
SPIE 2015
Efficient Integration of Spectral Features for Vehicle Tracking utilizing an Adaptive Sensor
B. Uzkent, M. J. Hoffman, A. Vodacek
2014
IEEE WNYIPW 2014
3-D MRI Cardiac Segmentation using Graph Cuts
B. Uzkent, M. J. Hoffman, E. Cherry, N. Cahill
2013
ICCS 2013
Feature matching and adaptive prediction models in an object tracking DDDAS
B. Uzkent, M. J. Hoffman, A. Vodacek, J. P. Kerekes, B. Chen
2011
IEEE ITNG 2011
Pitch range-based feature extraction for audio surveillance systems
B. Uzkent, B.D. Barkana
2010
EURO 2010
Performances of the ANN, SVM, and K-means clustering methods recognizing different environmental sounds
B.D. Barkana, I. Saricicek, B. Uzkent
2009
METU 2009
Autonomous parallel parking of non-holonomic vehicles
B. Uzkent, O. Parlaktuna
Earth's Future 路 2023
Safe Shelter: A Case for Prioritizing Housing Quality in Climate Adaptation Policy by Remotely Sensing Roof Tarps in the San Francisco Bay Area
E. Velterop, B. Uzkent, J. Suckale
IEEE TGRS 路 2019
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters
B. Uzkent, A. Rangnekar, M.J. Hoffman
IEEE JSTARS 路 2016
Integrating Hyperspectral Likelihoods in a Multi-dimensional Assignment Algorithm for Aerial Vehicle Tracking
B. Uzkent, M. J. Hoffman, A. Vodacek
IEEE Sensors Journal 路 2015
Feature Matching with an Adaptive Optical Sensor in a Ground Target Tracking System
B. Uzkent, M. J. Hoffman, A. Vodacek, Bin Chen
Procedia Computer Science 路 2013
Feature matching and adaptive prediction models in an object tracking DDDAS
B. Uzkent, M. J. Hoffman, A. Vodacek, J. P. Kerekes, B. Chen
IJICIC 路 2012
Non-speech environmental sound classification using SVMS with a new set of features
B. Uzkent, B.D. Barkana, H. Cevikalp
Advanced Materials Research 路 2012
Normal and abnormal non-speech audio event detection using MFCC and PR-based feature sets
B.D. Barkana, B. Uzkent, I. Saricicek
Applied Acoustics 路 2011
Environmental noise classifier using a new set of feature parameters based on pitch range
B.D. Barkana, B. Uzkent, I. Saricicek
Expert Systems with Applications 路 2011
Automatic environmental noise source classification model using fuzzy logic
B. Uzkent, B.D. Barkana, J. Yang