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20162026
most citedHierarchical Representation Learning for Kinship Verification

81 citations · 275 across the 51 of their papers we have counts for

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Showing 2020 · cs.CVShow all

10 papers · 2 filters

cs.CV2020

Age Gap Reducer-GAN for Recognizing Age-Separated Faces

Daksha Yadav, Naman Kohli, Mayank Vatsa +2

In this paper, we propose a novel algorithm for matching faces with temporal variations caused due to age progression. The proposed generative adversarial network algorithm is a un…

cs.CV2020

WaveTransform: Crafting Adversarial Examples via Input Decomposition

Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa +1

Frequency spectrum has played a significant role in learning unique and discriminating features for object recognition. Both low and high frequency information present in images ha…

cs.CV2020

Attack Agnostic Adversarial Defense via Visual Imperceptible Bound

Saheb Chhabra, Akshay Agarwal, Richa Singh +1

The high susceptibility of deep learning algorithms against structured and unstructured perturbations has motivated the development of efficient adversarial defense algorithms. How…

cs.CV2020

MixNet for Generalized Face Presentation Attack Detection

Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal +2

The non-intrusive nature and high accuracy of face recognition algorithms have led to their successful deployment across multiple applications ranging from border access to mobile…

cs.CV2020

Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings

Mehak Gupta, Vishal Singh, Akshay Agarwal +2

Presentation attacks are posing major challenges to most of the biometric modalities. Iris recognition, which is considered as one of the most accurate biometric modality for perso…

cs.CV2020

Unravelling Small Sample Size Problems in the Deep Learning World

Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra +2

The growth and success of deep learning approaches can be attributed to two major factors: availability of hardware resources and availability of large number of training samples.…

cs.CV2020

Subclass Contrastive Loss for Injured Face Recognition

Puspita Majumdar, Saheb Chhabra, Richa Singh +1

Deaths and injuries are common in road accidents, violence, and natural disaster. In such cases, one of the main tasks of responders is to retrieve the identity of the victims to r…

cs.CV2020

Generalized Zero-Shot Learning Via Over-Complete Distribution

Rohit Keshari, Richa Singh, Mayank Vatsa

A well trained and generalized deep neural network (DNN) should be robust to both seen and unseen classes. However, the performance of most of the existing supervised DNN algorithm…

cs.CV2020★ 1 cited

On the Robustness of Face Recognition Algorithms Against Attacks and Bias

Richa Singh, Akshay Agarwal, Maneet Singh +2

Face recognition algorithms have demonstrated very high recognition performance, suggesting suitability for real world applications. Despite the enhanced accuracies, robustness of…

cs.CV2020

Detecting Face2Face Facial Reenactment in Videos

Prabhat Kumar, Mayank Vatsa, Richa Singh

Visual content has become the primary source of information, as evident in the billions of images and videos, shared and uploaded on the Internet every single day. This has led to…