activity
20162018
most citedUPSET and ANGRI : Breaking High Performance Image Classifiers

91 citations · 229 across the 7 of their papers we have counts for

collaborators

16 papers

cs.CV2018

Semi-supervised FusedGAN for Conditional Image Generation

Navaneeth Bodla, Gang Hua, Rama Chellappa

We present FusedGAN, a deep network for conditional image synthesis with controllable sampling of diverse images. Fidelity, diversity and controllable sampling are the main quality…

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…