Publications by Vittal Premachandran

Publications by authors named "Vittal Premachandran"

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Empirical Minimum Bayes Risk Prediction.

Vittal Premachandran Daniel Tarlow Alan L Yuille Dhruv Batra

IEEE Trans Pattern Anal Mach Intell

January 2017

When building vision systems that predict structured objects such as image segmentations or human poses, a crucial concern is performance under task-specific evaluation measures (e.g., Jaccard Index or Average Precision).

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- Vittal Premachandran's research focuses on enhancing the performance of vision systems, particularly in predicting structured objects like image segmentations and human poses, while ensuring effectiveness under task-specific evaluation measures.
- His 2017 article, "Empirical Minimum Bayes Risk Prediction," explores the importance of performance metrics such as Jaccard Index and Average Precision in the context of visual object prediction.
- The findings highlight the significance of aligning predictive models with specific evaluation criteria to improve the accuracy and reliability of vision-based applications in machine intelligence.

Publications by authors named "Vittal Premachandran"

Empirical Minimum Bayes Risk Prediction.

Synopsis of recent research by authors named "Vittal Premachandran"