Finding Happiest Moments in a Social Context. - Abhinav Dhall; Jyoti Joshi; Ibrahim Radwan; Roland Goecke (ACCV (2), 2012)

Regression Based Pose Estimation with Automatic Occlusion Detection and Rectification. - Ibrahim Radwan; Abhinav Dhall; Jyoti Joshi; Roland Goecke (ICME, 2012)

Correcting pose estimation with implicit occlusion detection and rectification. - Ibrahim Radwan; Abhinav Dhall; Roland Goecke (ICPR, 2012)

On the Effect of Human Body Parts in Large Scale Human Behaviour Recognition. - O. V. Ramana Murthy; Ibrahim Radwan; Abhinav Dhall; Roland Goecke (DICTA, 2013)

Monocular Image 3D Human Pose Estimation under Self-Occlusion. - Ibrahim Radwan; Abhinav Dhall; Roland Goecke (ICCV, 2013)

Dense body part trajectories for human action recognition. - O. V. Ramana Murthy; Ibrahim Radwan; Roland Goecke (ICIP, 2014)

Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees. - Ibrahim Radwan; Abhinav Dhall; Roland Goecke (CoRR, 2015)

Human Postural Sway Estimation from Noisy Observations. - Hafsa Ismail; Ibrahim Radwan; Hanna Suominen; Gordon Waddington; Roland Goecke (FG, 2017)

Gait Estimation and Analysis from Noisy Observations. - Hafsa Ismail; Ibrahim Radwan; Hanna Suominen; Roland Goecke (EMBC, 2019)

Sway Risk Analysis Based on Age Group Classification. - Hafsa Ismail; Ibrahim Radwan; Hanna Suominen; Gordon Waddington; Roland Goecke (EMBC, 2019)

Estimation of Missing Human Body Parts Via Bidirectional LSTM. - Ibrahim Radwan; Akshay Asthana; Hafsa Ismail; Byron W. Keating; Roland Goecke (FG, 2019)

Hierarchical Adversarial Network for Human Pose Estimation. - Ibrahim Radwan; Nour Moustafa; Byron W. Keating; Kim-Kwang Raymond Choo; Roland Goecke (IEEE Access, 2019)

Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog. - Nour Moustafa; Kim-Kwang Raymond Choo; Ibrahim Radwan; Seyit Camtepe (IEEE Trans. Inf. Forensics Secur., 2019)

Mitigating the impact of adversarial attacks in very deep networks. - Mohammed Hassanin; Ibrahim Radwan; Nour Moustafa; Murat Tahtali; Neeraj Kumar 001 (Appl. Soft Comput., 2021)

To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion. - Soujanya Narayana; Ramanathan Subramanian; Ibrahim Radwan; Roland Goecke (ICMI Companion, 2022)

Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals. - Ravikiran Parameshwara; Soujanya Narayana; Murugappan Murugappan; Ramanathan Subramanian; Ibrahim Radwan; Roland Goecke (CoRR, 2022)

CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation. - Mohammed Hassanin; Abdelwahed Khamis; Mohammed Bennamoun; Farid Boussaïd; Ibrahim Radwan (CoRR, 2022)

Learning discriminative representations for multi-label image recognition. - Mohammed Hassanin; Ibrahim Radwan; Salman H. Khan 001; Murat Tahtali (J. Vis. Commun. Image Represent., 2022)

Prediction of Anticancer Synergistic Combinations using Multi-Modal Deep Neural Network; SynPredict. - Muhammad Alsherbiny; Ibrahim Radwan (IEEE DataPort, 2022)

A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference. - Soujanya Narayana; Ibrahim Radwan; Ravikiran Parameshwara; Iman Abbasnejad; Akshay Asthana; Ramanathan Subramanian; Roland Goecke (ACII, 2023)

Examining Subject-Dependent and Subject-Independent Human Affect Inference from Limited Video Data. - Ravikiran Parameshwara; Ibrahim Radwan; Ramanathan Subramanian; Roland Goecke (FG, 2023)

Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning. - Ravikiran Parameshwara; Ibrahim Radwan; Akshay Asthana; Iman Abbasnejad; Ramanathan Subramanian; Roland Goecke (ACM Multimedia, 2023)

Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention. - Soujanya Narayana; Ramanathan Subramanian; Ibrahim Radwan; Roland Goecke (CoRR, 2023)

Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations. - Muhammad Alsherbiny; Ibrahim Radwan; Nour Moustafa; Deep Jyoti Bhuyan; Muath El-Waisi; Dennis Chang; Chunguang Li (IEEE J. Biomed. Health Informatics, 2023)

Mood as a Contextual Cue for Improved Emotion Inference. - Soujanya Narayana; Ibrahim Radwan; Ramanathan Subramanian; Roland Goecke (CoRR, 2024)

Bird's-Eye View to Street-View: A Survey. - Khawlah Bajbaa; Muhammad Usman 011; Saeed Anwar; Ibrahim Radwan; Abdul Bais (CoRR, 2024)

Visual attention methods in deep learning: An in-depth survey. - Mohammed Hassanin; Saeed Anwar; Ibrahim Radwan; Fahad Shahbaz Khan; Ajmal Mian (Inf. Fusion, 2024)

Intelligent Joint Optimization of Deployment and Task Scheduling for Mobile Users in Multi-UAV-Assisted MEC System. - Mohamed Abdel-Basset; Reda Mohamed; Amira Salam; Karam M. Sallam; Ibrahim M. Hezam; Ibrahim Radwan (Int. J. Intell. Syst., 2025)

End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems. - Nguyen Quang Hieu; Dinh Thai Hoang; Diep N. Nguyen; Mohammad Abu Alsheikh; Carlos C. N. Kuhn; Yibeltal F. Alem; Ibrahim Radwan (CoRR, 2025)

Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers. - Mohammed Hassanin; Mohammad Abu Alsheikh; Carlos C. N. Kuhn; Damith Herath; Dinh Thai Hoang; Ibrahim Radwan (CoRR, 2025)

Crossformer3D: cross spatio-temporal transformer for 3D human pose estimation. - Mohammed Hassanin; Abdelwahed Khamis; Mohammed Bennamoun; Farid Boussaïd; Ibrahim Radwan (Signal Image Video Process., 2025)