Vijay Mahadevan
Vijay Mahadevan
Amazon AWS AI
Verified email at amazon.com
Title
Cited by
Cited by
Year
Anomaly detection in crowded scenes
V Mahadevan, W Li, V Bhalodia, N Vasconcelos
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
9632010
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
5312013
Spatiotemporal saliency in dynamic scenes
V Mahadevan, N Vasconcelos
IEEE transactions on pattern analysis and machine intelligence 32 (1), 171-177, 2009
4232009
On the plausibility of the discriminant center-surround hypothesis for visual saliency
D Gao, V Mahadevan, N Vasconcelos
Journal of vision 8 (7), 13-13, 2008
3222008
The discriminant center-surround hypothesis for bottom-up saliency
D Gao, V Mahadevan, N Vasconcelos
Advances in neural information processing systems, 497-504, 2008
2132008
Saliency-based discriminant tracking
V Mahadevan, N Vasconcelos
2009 IEEE conference on computer vision and pattern recognition, 1007-1013, 2009
2012009
Background subtraction in highly dynamic scenes
V Mahadevan, N Vasconcelos
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2008
1362008
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
1312014
Cluster canonical correlation analysis
N Rasiwasia, D Mahajan, V Mahadevan, G Aggarwal
Artificial intelligence and statistics, 823-831, 2014
1162014
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
1112012
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
1002004
Generalized Stauffer–Grimson background subtraction for dynamic scenes
AB Chan, V Mahadevan, N Vasconcelos
Machine Vision and Applications 22 (5), 751-766, 2011
832011
Decoder-side region of interest video processing
KH El-Maleh, V Mahadevan, H Wang
US Patent 8,315,466, 2012
802012
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
682010
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
572010
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
542016
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
462008
Maximum covariance unfolding: Manifold learning for bimodal data
V Mahadevan, CW Wong, JC Pereira, T Liu, N Vasconcelos, LK Saul
Advances in Neural Information Processing Systems, 918-926, 2011
342011
A 2-D/3-D model-based method to quantify the complexity of microvasculature imaged by in vivo multiphoton microscopy
JA Tyrrell, V Mahadevan, RT Tong, EB Brown, RK Jain, B Roysam
Microvascular Research 70 (3), 165-178, 2005
342005
On the connections between saliency and tracking
V Mahadevan, N Vasconcelos
Advances in Neural Information Processing Systems, 1664-1672, 2012
222012
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Articles 1–20