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Face recognition: A literature survey
This paper provides an up-to-date critical survey of still- and video-based face recognition research, and categorizes existing recognition techniques but also presents detailed descriptions of representative methods within each category. Expand
Entropy rate superpixel segmentation
An efficient greedy algorithm for superpixel segmentation is developed by exploiting submodular and mono-tonic properties of the objective function and proving an approximation bound of ½ for the optimality of the solution. Expand
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group
A new skeletal representation that explicitly models the 3D geometric relationships between various body parts using rotations and translations in 3D space is proposed and outperforms various state-of-the-art skeleton-based human action recognition approaches. Expand
Soft-NMS — Improving Object Detection with One Line of Code
Soft-NMS is proposed, an algorithm which decays the detection scores of all other objects as a continuous function of their overlap with M and improves state-of-the-art in object detection from 39.8% to 40.9% with a single model. Expand
Domain adaptation for object recognition: An unsupervised approach
This paper presents one of the first studies on unsupervised domain adaptation in the context of object recognition, where data has been labeled only from the source domain (and therefore do not have correspondences between object categories across domains). Expand
Frontal to profile face verification in the wild
The aim of this data set is to isolate the factor of pose variation in terms of extreme poses like profile, where many features are occluded, along with other `in the wild' variations to suggest that there is a gap between human performance and automatic face recognition methods for large pose variations in unconstrained images. Expand
A Method for Enforcing Integrability in Shape from Shading Algorithms
An approach for enforcing integrability, a particular implementation of the approach, an example of its application to extending an existing shape-from-shading algorithm, and experimental resultsExpand
Discriminant Analysis for Recognition of Human Face Images (Invited Paper)
The discriminatory power of various human facial features is studied and a new scheme for Automatic Face Recognition (AFR) is proposed and an efficient projection-based feature extraction and classification scheme for AFR is proposed. Expand
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
The proposed Defense-GAN, a new framework leveraging the expressive capability of generative models to defend deep neural networks against adversarial perturbations, is empirically shown to be consistently effective against different attack methods and improves on existing defense strategies. Expand
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
The proposed method, HyperFace, fuses the intermediate layers of a deep CNN using a separate CNN followed by a multi-task learning algorithm that operates on the fused features to exploit the synergy among the tasks which boosts up their individual performances. Expand