1 citations · 1 across the 1 of their papers we have counts for
5 papers
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…
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…
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods
Ozge Mercanoglu Sincan, Hacer Yalim Keles
Sign language recognition is a challenging problem where signs are identified by simultaneous local and global articulations of multiple sources, i.e. hand shape and orientation, h…
Semi-supervised Image Attribute Editing using Generative Adversarial Networks
Yahya Dogan, Hacer Yalim Keles
Image attribute editing is a challenging problem that has been recently studied by many researchers using generative networks. The challenge is in the manipulation of selected attr…
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim, Hacer Yalim Keles
Foreground segmentation algorithms aim segmenting moving objects from the background in a robust way under various challenging scenarios. Encoder-decoder type deep neural networks…