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20162024
most citedUPSET and ANGRI : Breaking High Performance Image Classifiers

91 citations · 358 across the 31 of their papers we have counts for

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Showing 2017 · cs.CVShow all

20 papers · 2 filters

cs.CV2017

Deep Regionlets for Object Detection

Hongyu Xu, Xutao Lv, Xiaoyu Wang +3

In this paper, we propose a novel object detection framework named "Deep Regionlets" by establishing a bridge between deep neural networks and conventional detection schema for acc…

cs.CV2017

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain +2

Visual Domain Adaptation is a problem of immense importance in computer vision. Previous approaches showcase the inability of even deep neural networks to learn informative represe…

cs.CV2017★ 21 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.CV2017★ 83 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.CV2017★ 16 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…