22 citations · 82 across the 13 of their papers we have counts for
13 papers
Human-Centric Anomaly Detection in Surveillance Videos Using YOLO-World and Spatio-Temporal Deep Learning
Mohammad Ali Etemadi Naeen, Hoda Mohammadzade, Saeed Bagheri Shouraki
Anomaly detection in surveillance videos remains a challenging task due to the diversity of abnormal events, class imbalance, and scene-dependent visual clutter. To address these i…
Deep Time Warping for Multiple Time Series Alignment
Alireza Nourbakhsh, Hoda Mohammadzade
Time Series Alignment is a critical task in signal processing with numerous real-world applications. In practice, signals often exhibit temporal shifts and scaling, making classifi…
Dynamic Changes of Brain Network during Epileptic Seizure
Atefeh Khoshkhahtinat, Hoda Mohammadzade
Epilepsy is a neurological disorder identified by sudden and recurrent seizures, which are believed to be accompanied by distinct changes in brain dynamics. Exploring the dynamic c…
Video alignment using unsupervised learning of local and global features
Niloufar Fakhfour, Mohammad ShahverdiKondori, Sajjad Hashembeiki +2
In this paper, we tackle the problem of video alignment, the process of matching the frames of a pair of videos containing similar actions. The main challenge in video alignment is…
Face: Fast, Accurate and Context-Aware Audio Annotation and Classification
M. Mehrdad Morsali, Hoda Mohammadzade, Saeed Bagheri Shouraki
This paper presents a context-aware framework for feature selection and classification procedures to realize a fast and accurate audio event annotation and classification. The cont…
Elderly Fall Detection Using CCTV Cameras under Partial Occlusion of the Subjects Body
Sara Khalili, Hoda Mohammadzade, Mohammad Mahdi Ahmadi
One of the possible dangers that older people face in their daily lives is falling. Occlusion is one of the biggest challenges of vision-based fall detection systems and degrades t…
Temporal Action Localization Using Gated Recurrent Units
Hassan Keshvarikhojasteh, Hoda Mohammadzade, Hamid Behroozi
Temporal Action Localization (TAL) task which is to predict the start and end of each action in a video along with the class label of the action has numerous applications in the re…
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification
Mohammad Akyash, Hoda Mohammadzade, Hamid Behroozi
In recent years, neural networks achieved much success in various applications. The main challenge in training deep neural networks is the lack of sufficient data to improve the mo…
Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization
Benyamin Ghojogh, Saeed Sharifian, Hoda Mohammadzade
Designing search algorithms for finding global optima is one of the most active research fields, recently. These algorithms consist of two main categories, i.e., classic mathematic…
Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches
Hoda Mohammadzade, Amirhossein Sayyafan, Benyamin Ghojogh
The variation of pose, illumination and expression makes face recognition still a challenging problem. As a pre-processing in holistic approaches, faces are usually aligned by eyes…
A Fusion-based Gender Recognition Method Using Facial Images
Benyamin Ghojogh, Saeed Bagheri Shouraki, Hoda Mohammadzade +1
This paper proposes a fusion-based gender recognition method which uses facial images as input. Firstly, this paper utilizes pre-processing and a landmark detection method in order…
Simultaneous Joint and Object Trajectory Templates for Human Activity Recognition from 3-D Data
Saeed Ghodsi, Hoda Mohammadzade, Erfan Korki
The availability of low-cost range sensors and the development of relatively robust algorithms for the extraction of skeleton joint locations have inspired many researchers to deve…
Recognizing Involuntary Actions from 3D Skeleton Data Using Body States
Mozhgan Mokari, Hoda Mohammadzade, Benyamin Ghojogh
Human action recognition has been one of the most active fields of research in computer vision for last years. Two dimensional action recognition methods are facing serious challen…