Vittal Premachandran
Vittal Premachandran
Applied Scientist, Amazon Search
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TitleCited byYear
Consensus of k-nns for robust neighborhood selection on graph-based manifolds
V Premachandran, R Kakarala
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
302013
Empirical minimum bayes risk prediction: How to extract an extra few% performance from vision models with just three more parameters
V Premachandran, D Tarlow, D Batra
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
292014
Perceptually motivated shape context which uses shape interiors
V Premachandran, R Kakarala
Pattern Recognition 46 (8), 2092-2102, 2013
292013
Discovering internal representations from object-cnns using population encoding
J Wang, Z Zhang, V Premachandran, A Yuille
arXiv preprint arXiv:1511.06855 2, 2015
25*2015
Deep residual learning for instrument segmentation in robotic surgery
D Pakhomov, V Premachandran, M Allan, M Azizian, N Navab
arXiv preprint arXiv:1703.08580, 2017
242017
Measuring the effectiveness of bad pixel detection algorithms using the ROC curve
V Premachandran, R Kakarala
IEEE Transactions on Consumer Electronics 56 (4), 2511-2519, 2010
102010
Three-dimensional bilateral symmetry plane estimation in the phase domain
R Kakarala, P Kaliamoorthi, V Premachandran
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
92013
Pascal boundaries: A semantic boundary dataset with a deep semantic boundary detector
V Premachandran, B Bonev, X Lian, A Yuille
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 73-81, 2017
8*2017
Visual concepts and compositional voting
J Wang, Z Zhang, C Xie, Y Zhou, V Premachandran, J Zhu, L Xie, A Yuille
arXiv preprint arXiv:1711.04451, 2017
62017
Rating image aesthetics using a crowd sourcing approach
A Agrawal, V Premachandran, R Kakarala
Pacific-Rim Symposium on Image and Video Technology, 24-32, 2013
62013
Unsupervised learning using generative adversarial training and clustering
V Premachandran, AL Yuille
42016
What parts of a shape are discriminative?
V Premachandran, R Kakarala
2013 IEEE International Conference on Image Processing, 2857-2861, 2013
22013
Can relative skill be determined from a photographic portfolio?
A Agrawal, V Premachandran, R Somavarapu, R Kakarala
Human Vision and Electronic Imaging XVIII 8651, 86510X, 2013
22013
Comparing automated and human ratings of photographic aesthetics
R Kakarala, TS Sachs, V Premachandran
Color and Imaging Conference 2011 (1), 217-222, 2011
22011
Empirical minimum Bayes risk prediction
V Premachandran, D Tarlow, AL Yuille, D Batra
IEEE transactions on pattern analysis and machine intelligence 39 (1), 75-86, 2017
12017
Annals of Mathematical Sciences and Applications
TY Hou, TL Lai, WW Lin, J Liu, CW Shu, ST Yau, L Ying, TWH Sheu, ...
Annals of Mathematical Sciences and Applications 3 (2), 2018
2018
Exploiting shape properties for improved retrieval, discrimination and recognition
V Premachandran
2014
Dense sampling of shape interiors for improved representation
V Premachandran, R Kakarala
Image Processing: Machine Vision Applications VI 8661, 866109, 2013
2013
Improving shape context using geodesic information and reflection invariance
V Premachandran, R Kakarala
Intelligent Robots and Computer Vision XXX: Algorithms and Techniques 8662 …, 2013
2013
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