activity
20172026
most citedDeep Learning for Face Recognition: Pride or Prejudiced?

40 citations · 49 across the 9 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 5 cited

Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!

Maneet Singh, Shruti Nagpal, Mayank Vatsa +2

Autoencoders are unsupervised deep learning models used for learning representations. In literature, autoencoders have shown to perform well on a variety of tasks spread across mul…

cs.CV2018★ 2 cited

Learning A Shared Transform Model for Skull to Digital Face Image Matching

Maneet Singh, Shruti Nagpal, Richa Singh +2

Human skull identification is an arduous task, traditionally requiring the expertise of forensic artists and anthropologists. This paper is an effort to automate the process of mat…

cs.CV2018

Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification

Maneet Singh, Shruti Nagpal, Richa Singh +1

Gender is one of the most common attributes used to describe an individual. It is used in multiple domains such as human computer interaction, marketing, security, and demographic…

cs.CV2018

Are you eligible? Predicting adulthood from face images via class specific mean autoencoder

Maneet Singh, Shruti Nagpal, Mayank Vatsa +1

Predicting if a person is an adult or a minor has several applications such as inspecting underage driving, preventing purchase of alcohol and tobacco by minors, and granting restr…

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…