Vittal Premachandran

According to our database, Vittal Premachandran authored at least 18 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Deep Residual Learning for Instrument Segmentation in Robotic Surgery.

Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2017

Empirical Minimum Bayes Risk Prediction.

Vittal Premachandran, Daniel Tarlow, Alan L. Yuille, Dhruv Batra

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Visual Concepts and Compositional Voting.

Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan L. Yuille

CoRR, 2017

PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector.

Vittal Premachandran, Boyan Bonev, Xiaochen Lian, Alan L. Yuille

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2015

Discovering Internal Representations from Object-CNNs Using Population Encoding.

Jianyu Wang, Zhishuai Zhang, Vittal Premachandran, Alan L. Yuille

CoRR, 2015

PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset.

Vittal Premachandran, Boyan Bonev, Alan L. Yuille

CoRR, 2015

2014

Exploiting shape properties for improved retrieval, discrimination and recognition

Vittal Premachandran

PhD thesis, 2014

Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters.

Vittal Premachandran, Daniel Tarlow, Dhruv Batra

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Perceptually motivated shape context which uses shape interiors.

Vittal Premachandran, Ramakrishna Kakarala

Pattern Recognit., 2013

Rating Image Aesthetics Using a Crowd Sourcing Approach.

Abhishek Agrawal, Vittal Premachandran, Ramakrishna Kakarala

Proceedings of the Image and Video Technology - PSIVT 2013 Workshops, 2013

What parts of a shape are discriminative?

Vittal Premachandran, Ramakrishna Kakarala

Proceedings of the IEEE International Conference on Image Processing, 2013

Can relative skill be determined from a photographic portfolio?

Abhishek Agrawal, Vittal Premachandran, Rajesh Somavarapu, Ramakrishna Kakarala

Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

Improving shape context using geodesic information and reflection invariance.

Vittal Premachandran, Ramakrishna Kakarala

Proceedings of the Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 2013

Dense sampling of shape interiors for improved representation.

Vittal Premachandran, Ramakrishna Kakarala

Proceedings of the Image Processing: Machine Vision Applications VI, 2013

Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds.

Vittal Premachandran, Ramakrishna Kakarala

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain.

Ramakrishna Kakarala, Prabhu Kaliamoorthi, Vittal Premachandran

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Comparing automated and human ratings of photographic aesthetics.

Ramakrishna Kakarala, Todd S. Sachs, Vittal Premachandran

Proceedings of the 19th Color and Imaging Conference, 2011

2010

Measuring the effectiveness of bad pixel detection algorithms using the ROC curve.

Vittal Premachandran, Ramakrishna Kakarala

IEEE Trans. Consumer Electron., 2010