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20182023
most citedPhysics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development

32 citations · 60 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 9 cited

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…

cs.CV2022★ 12 cited

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…

cs.CV2022★ 3 cited

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…

cs.CV2021★ 1 cited

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…

cs.CV2020★ 1 cited

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…