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Found 10 papers, 0 papers with code
Age Gap Reducer-GAN for Recognizing Age-Separated Faces
In this paper, we propose a novel algorithm for matching faces with temporal variations caused due to age progression.
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!
In this paper, we propose a novel Supervised COSMOS Autoencoder which utilizes a multi-objective loss function to learn representations that simultaneously encode the (i) "similarity" between the input and reconstructed vectors in terms of their direction, (ii) "distribution" of pixel values of the reconstruction with respect to the input sample, while also incorporating (iii) "discriminability" in the feature learning pipeline.
Learning A Shared Transform Model for Skull to Digital Face Image Matching
Human skull identification is an arduous task, traditionally requiring the expertise of forensic artists and anthropologists.
Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos
In this research, we propose a new deep learning framework for kinship verification in unconstrained videos using a novel Supervised Mixed Norm regularization Autoencoder (SMNAE).
Hierarchical Representation Learning for Kinship Verification
Utilizing the information obtained from the human study, a hierarchical Kinship Verification via Representation Learning (KVRL) framework is utilized to learn the representation of different face regions in an unsupervised manner.
Learning Structure and Strength of CNN Filters for Small Sample Size Training
The architecture provides the flexibility of training with both small and large training databases and yields good accuracies even with small size training data.
Synthetic Iris Presentation Attack using iDCGAN
We demonstrate the effect of these synthetically generated iris images as presentation attack on iris recognition by using a commercial system.
Face Sketch Matching via Coupled Deep Transform Learning
The performance of the proposed models is evaluated on a novel application of sketch-to-sketch matching, along with sketch-to-digital photo matching.
On Matching Skulls to Digital Face Images: A Preliminary Approach
Forensic application of automatically matching skull with face images is an important research area linking biometrics with practical applications in forensics.
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder
Soft biometric modalities have shown their utility in different applications including reducing the search space significantly.
