32 citations · 60 across the 10 of their papers we have counts for
10 papers
A Review of Deep Learning for Video Captioning
Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi +8
Video captioning (VC) is a fast-moving, cross-disciplinary area of research that bridges work in the fields of computer vision, natural language processing (NLP), linguistics, and…
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
Abduallah Mohamed, Jundi Liu, Linda Ng Boyle +1
An ego vehicle following a virtual lead vehicle planned route is an essential component when autonomous and non-autonomous vehicles interact. Yet, there is a question about the dri…
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data
Abduallah Mohamed, Fernando Lejarza, Stephanie Cahail +2
The problem of human activity recognition from mobile sensor data applies to multiple domains, such as health monitoring, personal fitness, daily life logging, and senior care. A c…
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
Abduallah Mohamed, Deyao Zhu, Warren Vu +2
Best-of-N (BoN) Average Displacement Error (ADE)/ Final Displacement Error (FDE) is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify…
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs
Abduallah Mohamed, Huancheng Chen, Zhangyang Wang +1
Several applications such as autonomous driving, augmented reality and virtual reality require a precise prediction of the 3D human pose. Recently, a new problem was introduced in…
Inner Ensemble Networks: Average Ensemble as an Effective Regularizer
Abduallah Mohamed, Muhammed Mohaimin Sadiq, Ehab AlBadawy +2
We introduce Inner Ensemble Networks (IENs) which reduce the variance within the neural network itself without an increase in the model complexity. IENs utilize ensemble parameters…
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny +1
Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans. Pedestrian trajectories…
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development
Kun Qian, Abduallah Mohamed, Christian Claudel
Flash floods in urban areas occur with increasing frequency. Detecting these floods would greatlyhelp alleviate human and economic losses. However, current flood prediction methods…
IEA: Inner Ensemble Average within a convolutional neural network
Abduallah Mohamed, Xinrui Hua, Xianda Zhou +1
Ensemble learning is a method of combining multiple trained models to improve model accuracy. We propose the usage of such methods, specifically ensemble average, inside Convolutio…
MCRM: Mother Compact Recurrent Memory
Abduallah A. Mohamed, Christian Claudel
LSTMs and GRUs are the most common recurrent neural network architectures used to solve temporal sequence problems. The two architectures have differing data flows dealing with a c…