445 citations · 1.1k across the 12 of their papers we have counts for
5 papers · 1 filter
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md Zahangir Alom, Mahmudul Hasan, Chris Yakopcic +2
Machine learning and computer vision have driven many of the greatest advances in the modeling of Deep Convolutional Neural Networks (DCNNs). Nowadays, most of the research has bee…
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks
Md Zahangir Alom, Peheding Sidike, Mahmudul Hasan +2
In spite of advances in object recognition technology, Handwritten Bangla Character Recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten ch…
Handwritten Bangla Digit Recognition Using Deep Learning
Md Zahangir Alom, Paheding Sidike, Tarek M. Taha +1
In spite of the advances in pattern recognition technology, Handwritten Bangla Character Recognition (HBCR) (such as alpha-numeric and special characters) remains largely unsolved…
Inception Recurrent Convolutional Neural Network for Object Recognition
Md Zahangir Alom, Mahmudul Hasan, Chris Yakopcic +1
Deep convolutional neural networks (DCNNs) are an influential tool for solving various problems in the machine learning and computer vision fields. In this paper, we introduce a ne…
Robust Multi-view Pedestrian Tracking Using Neural Networks
Md Zahangir Alom, Tarek M. Taha
In this paper, we present a real-time robust multi-view pedestrian detection and tracking system for video surveillance using neural networks which can be used in dynamic environme…