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Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
Ali Pourramezan Fard, Mohammad H. Mahoor
Facial landmark detection is a vital step for numerous facial image analysis applications. Although some deep learning-based methods have achieved good performances in this task, t…
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
Jian Sun, Ali Pourramezan Fard, Mohammad H. Mahoor
Capsule Network is powerful at defining the positional relationship between features in deep neural networks for visual recognition tasks, but it is computationally expensive and n…
Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models
Fahad Alhomayani, Mohammad H. Mahoor
The location fingerprinting method, which typically utilizes supervised learning, has been widely adopted as a viable solution for the indoor positioning problem. Many indoor posit…
RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
Rohola Zandie, Mohammad H. Mahoor, Julia Madsen +1
This paper introduces RyanSpeech, a new speech corpus for research on automated text-to-speech (TTS) systems. Publicly available TTS corpora are often noisy, recorded with multiple…
A Bi-Encoder LSTM Model For Learning Unstructured Dialogs
Danny Brahman, Pooran S. Negi, Mohammad Mahoor
Creating a data-driven model that is trained on a large dataset of unstructured dialogs is a crucial step in developing Retrieval-based Chatbot systems. This paper presents a Long…
Topical Language Generation using Transformers
Rohola Zandie, Mohammad H. Mahoor
Large-scale transformer-based language models (LMs) demonstrate impressive capabilities in open text generation. However, controlling the generated text's properties such as the to…
ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
Ali Pourramezan Fard, Hojjat Abdollahi, Mohammad Mahoor
Active Shape Model (ASM) is a statistical model of object shapes that represents a target structure. ASM can guide machine learning algorithms to fit a set of points representing a…