Latest Publications
A Hybrid GPU-FPGA-based Computing Platform for Machine Learning
We present a hybrid GPU-FPGA based computing platform to tackle the high-density computing problem of machine learning. In our platform, the training part of a machine learning application is implemented on GPU and the inferencing part is implemented on FPGA. […]
A Two-Stage Unsupervised Deep Learning Framework for Degradation Removal in Ancient Documents
Processing historical documents is a complicated task in computer vision due to the presence of degradation, which decreases the performance of Machine Learning models. Recently, Deep Learning (DL) models have achieved state-of-the-art accomplishments in processing historical documents. However, these performances […]
Simultaneous Detection of Regular Patterns in Ancient Manuscripts Using GAN-Based Deep Unsupervised Segmentation
Document Information Retrieval has attracted researchers’ attention when discovering secrets behind ancient manuscripts. To understand such documents, analyzing their layouts and segmenting their relevant features are fundamental tasks. Recent efforts represent unsupervised document segmentation, and its importance in ancient manuscripts […]
Federated Imitation Learning: A Cross-Domain Knowledge Sharing Framework for Traffic Scheduling in 6G Ubiquitous IoT
The ubiquitous Internet of Things (IoT) system is a key component of future 6G networks to realize a fully connected world. Extensive efforts have been made to provide on-demand traffic scheduling in IoT networks through machine learning algorithms. However, the […]
