Vignesh Jagadeesh — accepted AI-conference papers

2015

ConceptLearner: Discovering Visual Concepts From Weakly Labeled Image Collections

Bolei Zhou, Vignesh Jagadeesh, Robinson Piramuthu

CVPR 2015poster

Discovering visual knowledge from weakly labeled data is crucial to scale up computer vision recognition systems, since it is expensive to obtain fully labeled data for a large number of concept categories. In this paper, we propose ConceptLearner, which is a scalable approach to discover visual con…

Cited by 54 Source ↗PDF ↗Scholar ↗

2015

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition

Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di +1

ICCV 2015poster

In image classification, visual separability between different object categories is highly uneven, and some categories are more difficult to distinguish than others. Such difficult categories demand more dedicated classifiers. However, existing deep convolutional neural networks (CNN) are trained as…

Cited by 520 PDF ↗code ↗Scholar ↗