4 papers
Robust Representation Learning in Masked Autoencoders
Anika Shrivastava, Renu Rameshan, Samar Agnihotri
Masked Autoencoders (MAEs) achieve impressive performance in image classification tasks, yet the internal representations they learn remain less understood. This work started as an…
Latent Space Characterization of Autoencoder Variants
Anika Shrivastava, Renu Rameshan, Samar Agnihotri
Understanding the latent spaces learned by deep learning models is crucial in exploring how they represent and generate complex data. Autoencoders (AEs) have played a key role in t…
Lossless Image Compression Using Multi-level Dictionaries: Binary Images
Samar Agnihotri, Renu Rameshan, Ritwik Ghosal
Lossless image compression is required in various applications to reduce storage or transmission costs of images, while requiring the reconstructed images to have zero information…
Simulation of a Vision Correction Display System
Vidya Sunil, Renu M Rameshan
Eyes serve as our primary sensory organs, responsible for processing up to 80\% of our sensory input. However, common visual aberrations like myopia and hyperopia affect a signific…