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20152026
most citedReal-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder

13 citations · 49 across the 57 of their papers we have counts for

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10 papers · 1 filter

cs.CV20231 cited

Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition

Davide Cozzolino, Koki Nagano, Lucas Thomaz +2

The Video and Image Processing (VIP) Cup is a student competition that takes place each year at the IEEE International Conference on Image Processing. The 2022 IEEE VIP Cup asked u…

cs.CV2019

Discriminative Autoencoder for Feature Extraction: Application to Character Recognition

Anupriya Gogna, Angshul Majumdar

Conventionally, autoencoders are unsupervised representation learning tools. In this work, we propose a novel discriminative autoencoder. Use of supervised discriminative learning…

cs.CV2019

Kernel Transform Learning

Jyoti Maggu, Angshul Majumdar

This work proposes kernel transform learning. The idea of dictionary learning is well known; it is a synthesis formulation where a basis is learnt along with the coefficients so as…

cs.CV20185 cited

Motion Blur removal via Coupled Autoencoder

Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar

In this paper a joint optimization technique has been proposed for coupled autoencoder which learns the autoencoder weights and coupling map (between source and target) simultaneou…

cs.CV20182 cited

Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals

Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar

This work addresses the problem of reconstructing biomedical signals from their lower dimensional projections. Traditionally Compressed Sensing (CS) based techniques have been empl…

cs.CV2018

Hierarchical Representation Learning for Kinship Verification

Naman Kohli, Mayank Vatsa, Richa Singh +2

Kinship verification has a number of applications such as organizing large collections of images and recognizing resemblances among humans. In this research, first, a human study i…