| Deep residual learning for instrument segmentation in robotic surgery D Pakhomov, V Premachandran, M Allan, M Azizian, N Navab International Workshop on Machine Learning in Medical Imaging, 566-573, 2019 | 71 | 2019 |
| Discovering internal representations from object-cnns using population encoding J Wang, Z Zhang, V Premachandran, A Yuille arXiv preprint arXiv:1511.06855 2, 2015 | 44* | 2015 |
| 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 | 43 | 2013 |
| Perceptually motivated shape context which uses shape interiors V Premachandran, R Kakarala Pattern recognition 46 (8), 2092-2102, 2013 | 41 | 2013 |
| 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 | 32 | 2014 |
| 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 | 21 | 2017 |
| 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 | 17 | 2013 |
| Unsupervised learning using generative adversarial training and clustering V Premachandran, AL Yuille | 15 | 2016 |
| 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 | 12* | 2017 |
| 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 | 10 | 2010 |
| 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 | 6 | 2013 |
| What parts of a shape are discriminative? V Premachandran, R Kakarala 2013 IEEE International Conference on Image Processing, 2857-2861, 2013 | 3 | 2013 |
| 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 | 2 | 2013 |
| Comparing automated and human ratings of photographic aesthetics R Kakarala, TS Sachs, V Premachandran Color and Imaging Conference 2011 (1), 217-222, 2011 | 2 | 2011 |
| 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, 2016 | 1 | 2016 |
| Dense sampling of shape interiors for improved representation V Premachandran, R Kakarala Image Processing: Machine Vision Applications VI 8661, 866109, 2013 | 1 | 2013 |
| Exploiting Shape Properties for Improved Retrieval, Discrimination and Recognition V Premachandran Nanyang Technological University, 2014 | | 2014 |
| 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 |
Ramakrishna KakaralaCo-Founder and President, Picartio IncVerified email at phasedoma.in
