40 citations · 59 across the 12 of their papers we have counts for
7 papers · 1 filter
Recognizing Disguised Faces in the Wild
Maneet Singh, Richa Singh, Mayank Vatsa +2
Research in face recognition has seen tremendous growth over the past couple of decades. Beginning from algorithms capable of performing recognition in constrained environments, th…
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…
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…
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…
Residual Codean Autoencoder for Facial Attribute Analysis
Akshay Sethi, Maneet Singh, Richa Singh +1
Facial attributes can provide rich ancillary information which can be utilized for different applications such as targeted marketing, human computer interaction, and law enforcemen…
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…