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20162026
most citedStrengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations

217 citations · 875 across the 53 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti +3

By benefiting from perceptual losses, recent studies have improved significantly the performance of the super-resolution task, where a high-resolution image is resolved from its lo…

cs.CV2019

Benefiting from Multitask Learning to Improve Single Image Super-Resolution

Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat +4

Despite significant progress toward super resolving more realistic images by deeper convolutional neural networks (CNNs), reconstructing fine and natural textures still remains a c…

cs.CV2019

Exploring Factors for Improving Low Resolution Face Recognition

Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazım Kemal Ekenel +1

State-of-the-art deep face recognition approaches report near perfect performance on popular benchmarks, e.g., Labeled Faces in the Wild. However, their performance deteriorates si…

cs.CV2019

Multimodal Age and Gender Classification Using Ear and Profile Face Images

Dogucan Yaman, Fevziye Irem Eyiokur, Hazım Kemal Ekenel

In this paper, we present multimodal deep neural network frameworks for age and gender classification, which take input a profile face image as well as an ear image. Our main objec…

cs.IR2019

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran

We present a new dataset for form understanding in noisy scanned documents (FUNSD) that aims at extracting and structuring the textual content of forms. The dataset comprises 199 r…

cs.CV2019

Learn to synthesize and synthesize to learn

Behzad Bozorgtabar, Mohammad Saeed Rad, Hazım Kemal Ekenel +1

Attribute guided face image synthesis aims to manipulate attributes on a face image. Most existing methods for image-to-image translation can either perform a fixed translation bet…

cs.CV2019★ 2 cited

The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix

Žiga Emeršič, Aruna Kumar S. V., B. S. Harish +28

This paper presents a summary of the 2019 Unconstrained Ear Recognition Challenge (UERC), the second in a series of group benchmarking efforts centered around the problem of person…