| A deep learning approach to universal image manipulation detection using a new convolutional layer B Bayar, MC Stamm The 2016 ACM Workshop on Information Hiding and Multimedia Security, 2016 | 876 | 2016 |
| Constrained convolutional neural networks: a new approach towards general purpose image manipulation detection B Bayar, MC Stamm IEEE Transactions on Information Forensics and Security, 2018 | 554 | 2018 |
| Design principles of convolutional neural networks for multimedia forensics B Bayar, MC Stamm The 2017 IS&T International Symposium on Electronic Imaging: Media …, 2017 | 146 | 2017 |
| On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection B Bayar, MC Stamm The 42nd IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 101 | 2017 |
| Augmented convolutional feature maps for robust cnn-based camera model identification B Bayar, MC Stamm The 2017 IEEE International Conference on Image Processing (ICIP'17), 2017 | 78 | 2017 |
| Towards open set camera model identification using a deep learning framework B Bayar, MC Stamm The 43rd IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 74 | 2018 |
| Learning unified deep-features for multiple forensic tasks O Mayer, B Bayar, MC Stamm The 2018 ACM Workshop on Information Hiding and Multimedia Security, 2018 | 55 | 2018 |
| Video camera model identification system using deep learning and fusion B Hosler, O Mayer, B Bayar, X Zhao, C Chen, J Shackleford, MC Stamm The 44th IEEE International Conference on Acoustics, Speech and Signal …, 2019 | 50 | 2019 |
| A generic approach towards image manipulation parameter estimation using convolutional neural networks B Bayar, MC Stamm The 2017 ACM Workshop on Information Hiding and Multimedia Security, 2017 | 46 | 2017 |
| Probabilistic non-negative matrix factorization: theory and application to microarray data analysis B Bayar, N Bouaynaya, R Shterenberg Journal of bioinformatics and computational biology 12 (01), 1450001, 2014 | 38 | 2014 |
| Towards order of processing operations detection in jpeg-compressed images with convolutional neural networks B Bayar, MC Stamm The 2018 IS&T International Symposium on Electronic Imaging: Media …, 2018 | 28 | 2018 |
| SMURC: High-Dimension Small-Sample Multivariate Regression with Covariance Estimation B Bayar, N Bouaynaya, R Shterenberg IEEE Journal of Biomedical and Health Informatics, 2017 | 12 | 2017 |
| Kernel Reconstruction: an Exact Greedy Algorithm for Compressive Sensing B Bayar, N Bouaynaya, R Shterenberg The 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014 | 8 | 2014 |
| Distantly Supervised Transformers For E-Commerce Product QA H Mittal, A Chakrabarti, B Bayar, AA Sharma, N Rasiwasia The 2021 Annual Conference of the North American Chapter of the Asso …, 2021 | 5 | 2021 |
| Inference of genetic regulatory networks with unknown covariance structure B Bayar, N Bouaynaya, R Shterenberg The 2013 IEEE International Workshop on Genomic Signal Processing and …, 2013 | 1 | 2013 |
| LLM-based Weak Supervision Framework for Query Intent Classification in Video Search F Javadi, P Gampa, A Woo, X Geng, H Zhang, J Sepulveda, B Bayar, ... arXiv preprint arXiv:2409.08931, 2024 | | 2024 |
| Multi-task learning for reduced popularity bias in multi-territory video recommendations P Gampa, F Javadi, B Bayar, A Yessenalina RecSys 2023 Workshop on Context-Aware Recommender Systems, 2023 | | 2023 |
| Design principles of robust multi-armed bandit framework in video recommendations B Bayar, P Gampa, A Yessenalina, Z Wen RecSys 2023 Workshop on Context-Aware Recommender Systems, 2023 | | 2023 |
| Deep Learning Techniques for Multimedia Forensics B Bayar Drexel University, 2018 | | 2018 |
| Optimization algorithms for inference and classification of genetic profiles from undersampled measurements B Bayar Rowan University, 2014 | | 2014 |
Matthew C. StammAssociate Professor, Drexel UniversityVerified email at drexel.edu
