| Anomaly detection and localization in crowded scenes W Li, V Mahadevan, N Vasconcelos IEEE transactions on pattern analysis and machine intelligence 36 (1), 18-32, 2013 | 1242 | 2013 |
| The discriminant center-surround hypothesis for bottom-up saliency D Gao, V Mahadevan, N Vasconcelos Advances in neural information processing systems 20, 2007 | 576 | 2007 |
| Spatiotemporal saliency in dynamic scenes V Mahadevan, N Vasconcelos IEEE transactions on pattern analysis and machine intelligence 32 (1), 171-177, 2009 | 503 | 2009 |
| Saliency-based discriminant tracking V Mahadevan, N Vasconcelos 2009 IEEE conference on computer vision and pattern recognition, 1007-1013, 2009 | 302 | 2009 |
| Cluster canonical correlation analysis N Rasiwasia, D Mahajan, V Mahadevan, G Aggarwal Artificial intelligence and statistics, 823-831, 2014 | 190 | 2014 |
| Biologically inspired object tracking using center-surround saliency mechanisms V Mahadevan, N Vasconcelos IEEE transactions on pattern analysis and machine intelligence 35 (3), 541-554, 2012 | 172 | 2012 |
| Layouttransformer: Layout generation and completion with self-attention K Gupta, J Lazarow, A Achille, LS Davis, V Mahadevan, A Shrivastava Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 165 | 2021 |
| Learning optimal seeds for diffusion-based salient object detection S Lu, V Mahadevan, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 154 | 2014 |
| Background subtraction in highly dynamic scenes V Mahadevan, N Vasconcelos 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2008 | 153 | 2008 |
| Polyformer: Referring image segmentation as sequential polygon generation J Liu, H Ding, Z Cai, Y Zhang, RK Satzoda, V Mahadevan, R Manmatha Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 126 | 2023 |
| Robust model-based vasculature detection in noisy biomedical images V Mahadevan, H Narasimha-Iyer, B Roysam, HL Tanenbaum IEEE Transactions on Information Technology in Biomedicine 8 (3), 360-376, 2004 | 114 | 2004 |
| Vlad3: Encoding dynamics of deep features for action recognition Y Li, W Li, V Mahadevan, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 110 | 2016 |
| Toward understanding catastrophic forgetting in continual learning CV Nguyen, A Achille, M Lam, T Hassner, V Mahadevan, S Soatto arXiv preprint arXiv:1908.01091, 2019 | 103 | 2019 |
| Decoder-side region of interest video processing KH El-Maleh, V Mahadevan, H Wang US Patent 8,315,466, 2012 | 98 | 2012 |
| Generalized Stauffer–Grimson background subtraction for dynamic scenes AB Chan, V Mahadevan, N Vasconcelos Machine Vision and Applications 22, 751-766, 2011 | 95 | 2011 |
| On the design of robust classifiers for computer vision H Masnadi-Shirazi, V Mahadevan, N Vasconcelos 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 94 | 2010 |
| Deep convolutional neural networks for eigenvalue problems in mechanics D Finol, Y Lu, V Mahadevan, A Srivastava International Journal for Numerical Methods in Engineering 118 (5), 258-275, 2019 | 82 | 2019 |
| A novel approach to FRUC using discriminant saliency and frame segmentation N Jacobson, YL Lee, V Mahadevan, N Vasconcelos, TQ Nguyen IEEE Transactions on Image Processing 19 (11), 2924-2934, 2010 | 69 | 2010 |
| Improved detection of the central reflex in retinal vessels using a generalized dual-Gaussian model and robust hypothesis testing H Narasimha-Iyer, V Mahadevan, JM Beach, B Roysam IEEE Transactions on Information Technology in Biomedicine 12 (3), 406-410, 2008 | 55 | 2008 |
| Visual relationship detection using part-and-sum transformers with composite queries Q Dong, Z Tu, H Liao, Y Zhang, V Mahadevan, S Soatto Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 46 | 2021 |
