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ORCIDVittal Premachandran
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2010 – 2019
- 2019
[c11]Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab:
Deep Residual Learning for Instrument Segmentation in Robotic Surgery. MLMI@MICCAI 2019: 566-573- 2017
- [j3]Vittal Premachandran, Daniel Tarlow, Alan L. Yuille
, Dhruv Batra:
Empirical Minimum Bayes Risk Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 75-86 (2017) - [c10]Vittal Premachandran, Boyan Bonev, Xiaochen Lian, Alan L. Yuille:
PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector. WACV 2017: 73-81 - [i5]Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab:
Deep Residual Learning for Instrument Segmentation in Robotic Surgery. CoRR abs/1703.08580 (2017) - [i4]Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan L. Yuille:
Visual Concepts and Compositional Voting. CoRR abs/1711.04451 (2017) - 2015
- [i3]Jianyu Wang, Zhishuai Zhang, Vittal Premachandran, Alan L. Yuille:
Discovering Internal Representations from Object-CNNs Using Population Encoding. CoRR abs/1511.06855 (2015) - [i2]Vittal Premachandran, Boyan Bonev, Alan L. Yuille:
PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset. CoRR abs/1511.07951 (2015) - 2014
- [b1]Vittal Premachandran:
Exploiting shape properties for improved retrieval, discrimination and recognition. Nanyang Technological University, Singapore, 2014 - [c9]Vittal Premachandran, Daniel Tarlow, Dhruv Batra:
Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters. CVPR 2014: 1043-1050 - 2013
- [j2]Vittal Premachandran, Ramakrishna Kakarala:
Perceptually motivated shape context which uses shape interiors. Pattern Recognit. 46(8): 2092-2102 (2013) - [c8]Ramakrishna Kakarala, Prabhu Kaliamoorthi, Vittal Premachandran:
Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain. CVPR 2013: 249-256 - [c7]Vittal Premachandran, Ramakrishna Kakarala:
Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds. CVPR 2013: 1594-1601 - [c6]Vittal Premachandran, Ramakrishna Kakarala:
Dense sampling of shape interiors for improved representation. Image Processing: Machine Vision Applications 2013: 866109 - [c5]Vittal Premachandran, Ramakrishna Kakarala:
Improving shape context using geodesic information and reflection invariance. Intelligent Robots and Computer Vision: Algorithms and Techniques 2013: 86620E - [c4]Abhishek Agrawal, Vittal Premachandran, Rajesh Somavarapu, Ramakrishna Kakarala:
Can relative skill be determined from a photographic portfolio? Human Vision and Electronic Imaging 2013: 86510X - [c3]Vittal Premachandran, Ramakrishna Kakarala:
What parts of a shape are discriminative? ICIP 2013: 2857-2861 - [c2]Abhishek Agrawal, Vittal Premachandran, Ramakrishna Kakarala:
Rating Image Aesthetics Using a Crowd Sourcing Approach. PSIVT Workshops 2013: 24-32 - 2012
- [i1]Vittal Premachandran, Ramakrishna Kakarala:
Perceptually Motivated Shape Context Which Uses Shape Interiors. CoRR abs/1212.4608 (2012) - 2011
- [c1]Ramakrishna Kakarala, Todd S. Sachs, Vittal Premachandran:
Comparing automated and human ratings of photographic aesthetics. CIC 2011: 217-222 - 2010
- [j1]Vittal Premachandran, Ramakrishna Kakarala:
Measuring the effectiveness of bad pixel detection algorithms using the ROC curve. IEEE Trans. Consumer Electron. 56(4): 2511-2519 (2010)
Coauthor Index
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