67 citations · 238 across the 29 of their papers we have counts for
6 papers · 1 filter
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch +2
There is tremendous scope for improving the energy efficiency of embedded vision systems by incorporating programmable region-of-interest (ROI) readout in the image sensor design.…
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan +2
Exploiting known semantic relationships between fine-grained tasks is critical to the success of recent model agnostic approaches. These approaches often rely on meta-optimization…
Kernel Sparse Models for Automated Tumor Segmentation
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan +3
In this paper, we propose sparse coding-based approaches for segmentation of tumor regions from MR images. Sparse coding with data-adapted dictionaries has been successfully employ…
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
In complex visual recognition tasks it is typical to adopt multiple descriptors, that describe different aspects of the images, for obtaining an improved recognition performance. D…
Learning Stable Multilevel Dictionaries for Sparse Representations
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
Sparse representations using learned dictionaries are being increasingly used with success in several data processing and machine learning applications. The availability of abundan…
Ensemble Sparse Models for Image Analysis
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri +1
Sparse representations with learned dictionaries have been successful in several image analysis applications. In this paper, we propose and analyze the framework of ensemble sparse…