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20162022
most citedUPSET and ANGRI : Breaking High Performance Image Classifiers

91 citations · 296 across the 23 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

cs.CV201721 cited

A Deep Cascade Network for Unaligned Face Attribute Classification

Hui Ding, Hao Zhou, Shaohua Kevin Zhou +1

Humans focus attention on different face regions when recognizing face attributes. Most existing face attribute classification methods use the whole image as input. Moreover, some…

cs.CV201783 cited

ExprGAN: Facial Expression Editing with Controllable Expression Intensity

Hui Ding, Kumar Sricharan, Rama Chellappa

Facial expression editing is a challenging task as it needs a high-level semantic understanding of the input face image. In conventional methods, either paired training data is req…

cs.CV2017

SSH: Single Stage Headless Face Detector

Mahyar Najibi, Pouya Samangouei, Rama Chellappa +1

We introduce the Single Stage Headless (SSH) face detector. Unlike two stage proposal-classification detectors, SSH detects faces in a single stage directly from the early convolut…

cs.CV201716 cited

Synthesis-based Robust Low Resolution Face Recognition

Sumit Shekhar, Vishal M. Patel, Rama Chellappa

Recognition of low resolution face images is a challenging problem in many practical face recognition systems. Methods have been proposed in the face recognition literature for the…

cs.CV201791 cited

UPSET and ANGRI : Breaking High Performance Image Classifiers

Sayantan Sarkar, Ankan Bansal, Upal Mahbub +1

In this paper, targeted fooling of high performance image classifiers is achieved by developing two novel attack methods. The first method generates universal perturbations for tar…

cs.CV2017

A Proximity-Aware Hierarchical Clustering of Faces

Wei-An Lin, Jun-Cheng Chen, Rama Chellappa

In this paper, we propose an unsupervised face clustering algorithm called "Proximity-Aware Hierarchical Clustering" (PAHC) that exploits the local structure of deep representation…