3 citations · 4 across the 8 of their papers we have counts for
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eess.IV2021
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model
Mohana Singh, Renu M. Rameshan
Light field technology has increasingly attracted the attention of the research community with its many possible applications. The lenslet array in commercial plenoptic cameras hel…
cs.CV2021
Learning optimally separated class-specific subspace representations using convolutional autoencoder
Krishan Sharma, Shikha Gupta, Renu Rameshan
In this work, we propose a novel convolutional autoencoder based architecture to generate subspace specific feature representations that are best suited for classification task. Th…
cs.CV2021★ 3 cited
MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking
Amit Satish Unde, Renu M. Rameshan
One of the central tasks of multi-object tracking involves learning a distance metric that is consistent with the semantic similarities of objects. The design of an appropriate los…