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20132026
most citedHierarchical Representation Learning for Kinship Verification

81 citations · 168 across the 67 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 5 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.CV2018★ 2 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★ 81 cited

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…

cs.CV2018★ 1 cited

MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis

Maneet Singh, Shruti Nagpal, Richa Singh +2

Enhancing low resolution images via super-resolution or image synthesis for cross-resolution face recognition has been well studied. Several image processing and machine learning p…

cs.IR2018★ 4 cited

Indian Regional Movie Dataset for Recommender Systems

Prerna Agarwal, Richa Verma, Angshul Majumdar

Indian regional movie dataset is the first database of regional Indian movies, users and their ratings. It consists of movies belonging to 18 different Indian regional languages an…