Vittal Premachandran

According to our database1, Vittal Premachandran authored at least 15 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Deep Residual Learning for Instrument Segmentation in Robotic Surgery.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2017
Empirical Minimum Bayes Risk Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Visual Concepts and Compositional Voting.
CoRR, 2017

PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2015
Discovering Internal Representations from Object-CNNs Using Population Encoding.
CoRR, 2015

PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset.
CoRR, 2015

2014
Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Perceptually motivated shape context which uses shape interiors.
Pattern Recognit., 2013

Rating Image Aesthetics Using a Crowd Sourcing Approach.
Proceedings of the Image and Video Technology - PSIVT 2013 Workshops, 2013

What parts of a shape are discriminative?
Proceedings of the IEEE International Conference on Image Processing, 2013

Can relative skill be determined from a photographic portfolio?
Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Comparing automated and human ratings of photographic aesthetics.
Proceedings of the 19th Color and Imaging Conference, CIC 2011, San Jose, 2011

2010
Measuring the effectiveness of bad pixel detection algorithms using the ROC curve.
IEEE Trans. Consumer Electron., 2010


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