2.3k citations · 4.5k across the 29 of their papers we have counts for
32 papers
Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations
Muath Alsuhaibani, Hiroko H. Dodge, Mohammad H. Mahoor
Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia. Deep Learning (DL) algorithms could help achieve ear…
MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos
Jian Sun, Hiroko H. Dodge, Mohammad H. Mahoor
Deep machine learning models including Convolutional Neural Networks (CNN) have been successful in the detection of Mild Cognitive Impairment (MCI) using medical images, questionna…
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis
Ali Pourramezan Fard, Mohammad H. Mahoor, Sarah Ariel Lamer +1
Generative Adversarial Networks (GANs) are capable of synthesizing high-quality facial images. Despite their success, GANs do not provide any information about the relationship bet…
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review
Fahad Alhomayani, Mohammad H. Mahoor
Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location finger…
OutFin, a multi-device and multi-modal dataset for outdoor localization based on the fingerprinting approach
Fahad Alhomayani, Mohammad H. Mahoor
In recent years, fingerprint-based positioning has gained researchers attention since it is a promising alternative to the Global Navigation Satellite System and cellular network-b…
A Music-Therapy Robotic Platform for Children with Autism: A Pilot Study
Huanghao Fengr, Mohammad H. Mahoor, Francesca Dino
Children with Autism Spectrum Disorder (ASD) experience deficits in verbal and nonverbal communication skills including motor control, turn-taking, and emotion recognition. Innovat…
Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study
Hojjat Abdollahi, Mohammad H. Mahoor, Rohola Zandie +2
This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ry…
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…
Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB
Fahad Alhomayani, Mohammad Mahoor
This paper presents a novel indoor positioning method designed for residential apartments. The proposed method makes use of cellular signals emitting from a serving eNodeB which el…
BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
Behzad Hasani, Pooran Singh Negi, Mohammad H. Mahoor
This paper introduces BReG-NeXt, a residual-based network architecture using a function wtih bounded derivative instead of a simple shortcut path (a.k.a. identity mapping) in the r…
EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems
Rohola Zandie, Mohammad H. Mahoor
Understanding emotions and responding accordingly is one of the biggest challenges of dialog systems. This paper presents EmpTransfo, a multi-head Transformer architecture for crea…
Delivering Cognitive Behavioral Therapy Using A Conversational SocialRobot
Francesca Dino, Rohola Zandie, Hojjat Abdollahi +2
Social robots are becoming an integrated part of our daily life due to their ability to provide companionship and entertainment. A subfield of robotics, Socially Assistive Robotics…
Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing
Behzad Hasani, Pooran Singh Negi, Mohammad H. Mahoor
Residual-based neural networks have shown remarkable results in various visual recognition tasks including Facial Expression Recognition (FER). Despite the tremendous efforts have…
Leveraging Class Similarity to Improve Deep Neural Network Robustness
Pooran Singh Negi, David chan, Mohammad Mahoor
Traditionally artificial neural networks (ANNs) are trained by minimizing the cross-entropy between a provided groundtruth delta distribution (encoded as one-hot vector) and the AN…
Studying the Effects of Deep Brain Stimulation and Medication on the Dynamics of STN-LFP Signals for Human Behavior Analysis
Hosein M. Golshan, Adam O. Hebb, Joshua Nedrud +1
This paper presents the results of our recent work on studying the effects of deep brain stimulation (DBS) and medication on the dynamics of brain local field potential (LFP) signa…
A Pilot Study on Using an Intelligent Life-like Robot as a Companion for Elderly Individuals with Dementia and Depression
Hojjat Abdollahi, Ali Mollahosseini, Josh T. Lane +1
This paper presents the design, development, methodology, and the results of a pilot study on using an intelligent, emotive and perceptive social robot (aka Companionbot) for impro…
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
Ali Mollahosseini, Behzad Hasani, Mohammad H. Mahoor
Automated affective computing in the wild setting is a challenging problem in computer vision. Existing annotated databases of facial expressions in the wild are small and mostly c…
Facial Affect Estimation in the Wild Using Deep Residual and Convolutional Networks
Behzad Hasani, Mohammad H. Mahoor
Automated affective computing in the wild is a challenging task in the field of computer vision. This paper presents three neural network-based methods proposed for the task of fac…