| Unsupervised multi-target domain adaptation: An information theoretic approach B Gholami, P Sahu, O Rudovic, K Bousmalis, V Pavlovic IEEE Transactions on Image Processing 29, 3993-4002, 2020 | 133 | 2020 |
| PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories B Gholami, O Rudovic, V Pavlovic Computer Vision (ICCV), 2017 IEEE International Conference on, 3601-3610, 2017 | 46 | 2017 |
| Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach M Kim, B Gholami, P Sahu, V Pavlovic Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
| A Bayesian Framework for Sparse Representation-Based 3D Human Pose Estimation B Babagholami-Mohamadabadi, A Jourabloo, A Zarghami, S Kasaei IEEE Signal Processing Letters 21 (3), 297-300, 2014 | 26 | 2014 |
| PSSDL: Probabilistic Semi-supervised Dictionary Learning. B Babagholami-Mohamadabadi, A Zarghami, M Zolfaghari, MS Baghshah ECML/PKDD (3), 192-207, 2013 | 22 | 2013 |
| Decentralized approximate bayesian inference for distributed sensor network B Gholami, S Yoon, V Pavlovic Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 19* | 2016 |
| Probabilistic temporal subspace clustering B Gholami, V Pavlovic Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 16 | 2017 |
| Multi-modal distance metric learning: Abayesian non-parametric approach B Babagholami-Mohamadabadi, SM Roostaiyan, A Zarghami, ... European Conference on Computer Vision Workshops, 63-77, 2014 | 13 | 2014 |
| Task-discriminative domain alignment for unsupervised domain adaptation B Gholami, P Sahu, M Kim, V Pavlovic Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 11 | 2019 |
| Bayesian Supervised Dictionary learning. B Babagholami-Mohamadabadi, A Jourabloo, M Zolfaghari, ... UAI Application Workshops, 11-19, 2013 | 9 | 2013 |
| Kernel auto-encoder for semi-supervised hashing B Gholami, A Hajisami 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016 | 8 | 2016 |
| Digital Video Stabilization Using Radon Transform B Babagholami-Mohamadabadi, A Bagheri-Khaligh, R Hassanpour Digital Image Computing Techniques and Applications (DICTA), 2012 …, 2012 | 7 | 2012 |
| Supervised dictionary learning using distance dependent indian buffet process B Babagholami-Mohamadabadi, A Jourabloo, A Zarghami, MS Baghshah 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013 | 6 | 2013 |
| Probabilistic Semi-Supervised Multi-Modal Hashing B Gholami, A Hajisami British Machine Vision Conference (BMVC), 2016 | 4 | 2016 |
| Mean field variational inference using bregman ADMM for distributed camera network B Babagholami-Mohamadabadi, S Yoon, V Pavlovic Proceedings of the 9th International Conference on Distributed Smart Cameras …, 2015 | 3 | 2015 |
| Probabilistic non-linear distance metric learning for constrained clustering B Babagholami-Mohamadabadi, A Zarghami, HA Pourhaghighi, ... Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi …, 2013 | 3 | 2013 |
| A robust global motion estimation for digital video stabilization B Babagholami-Mohamadabadi, A Jourabloo, MT Manzuri-Shalmani AI 2012: Advances in Artificial Intelligence: 25th Australasian Joint …, 2012 | 2 | 2012 |
| Visual tracking by dictionary learning and motion estimation A Jourabloo, B Babagholami-Mohamadabadi, AH Feghahati, ... 2012 IEEE International Symposium on Signal Processing and Information …, 2012 | 1 | 2012 |
| Multiexpert Adversarial Regularization for Robust and Data-Efficient Deep Supervised Learning B Gholami, Q Liu, M El-Khamy, J Lee IEEE Access 10, 85080-85094, 2022 | | 2022 |
pritish sahuRutgers UniversityVerified email at rutgers.edu
