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20182026
most citedForeground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding

308 citations · 856 across the 20 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 67 cited

Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition

Ozge Mercanoglu Sincan, Hacer Yalim Keles

Sign language recognition using computational models is a challenging problem that requires simultaneous spatio-temporal modeling of the multiple sources, i.e. faces, hands, body,…

eess.IV2021★ 1 cited

Towards disease-aware image editing of chest X-rays

Aakash Saboo, Sai Niranjan Ramachandran, Kai Dierkes +1

Disease-aware image editing by means of generative adversarial networks (GANs) constitutes a promising avenue for advancing the use of AI in the healthcare sector. Here, we present…

cs.CV2021★ 1 cited

ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research

Ozge Mercanoglu Sincan, Julio C. S. Jacques Junior, Sergio Escalera +1

The performances of Sign Language Recognition (SLR) systems have improved considerably in recent years. However, several open challenges still need to be solved to allow SLR to be…

cs.CV2021★ 2 cited

A Hierarchical Approach to Remote Sensing Scene Classification

Ozlem Sen, Hacer Yalim Keles

Remote sensing scene classification deals with the problem of classifying land use/cover of a region from images. To predict the development and socioeconomic structures of cities,…

eess.IV2021

Iterative Facial Image Inpainting Based on an Encoder-Generator Architecture

Yahya Dogan, Hacer Yalim Keles

Facial image inpainting is a challenging problem as it requires generating new pixels that include semantic information for masked key components in a face, e.g., eyes and nose. Re…