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Ibrahim Radwan
Ibrahim Radwan
Associate Professor, University of Canberra
Verified email at canberra.edu.au
Title
Cited by
Cited by
Year
Outlier dirichlet mixture mechanism: Adversarial statistical learning for anomaly detection in the fog
N Moustafa, KKR Choo, I Radwan, S Camtepe
IEEE Transactions on Information Forensics and Security 14 (8), 1975-1987, 2019
1202019
Monocular image 3D human pose estimation under self-occlusion
I Radwan, A Dhall, R Goecke
Proceedings of the IEEE International Conference on Computer Vision, 1888-1895, 2013
862013
Visual attention methods in deep learning: An in-depth survey
M Hassanin, S Anwar, I Radwan, FS Khan, A Mian
Information Fusion 108, 102417, 2024
832024
Finding happiest moments in a social context
A Dhall, J Joshi, I Radwan, R Goecke
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
552013
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
M Hassanin, A Khamiss, M Bennamoun, F Boussaid, I Radwan
arXiv preprint arXiv:2203.13387, 2022
252022
Learning discriminative representations for multi-label image recognition
M Hassanin, I Radwan, S Khan, M Tahtali
Journal of Visual Communication and Image Representation 83, 103448, 2022
242022
Metabolomic identification of anticancer metabolites of Australian propolis and proteomic elucidation of its synergistic mechanisms with doxorubicin in the MCF7 cells
MA Alsherbiny, DJ Bhuyan, I Radwan, D Chang, CG Li
International Journal of Molecular Sciences 22 (15), 7840, 2021
242021
Regression based pose estimation with automatic occlusion detection and rectification
I Radwan, A Dhall, J Joshi, R Goecke
2012 IEEE International Conference on Multimedia and Expo, 121-127, 2012
162012
New 3D Approach for Fault Identification within Power Transformers using Frequency Response
A Abu-Siada, I Radwan, A Abdou
IET Science, Measurement & Technology, 2019
152019
Visual attention methods in deep learning: An in-depth survey. arXiv 2022
M Hassanin, S Anwar, I Radwan, FS Khan, A Mian
arXiv preprint arXiv:2204.07756, 0
10
Patterns of pre-crash behaviour in railway suicides and the effect of corridor fencing: a natural experiment in New South Wales
S Gregor, G Beavan, A Culbert, P Kan John, NV Ngo, B Keating, R Sun, ...
International journal of injury control and safety promotion 26 (4), 423-430, 2019
92019
Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations
MA Alsherbiny, I Radwan, N Moustafa, DJ Bhuyan, M El-Waisi, D Chang, ...
IEEE Journal of Biomedical and Health Informatics 27 (4), 1691-1700, 2021
72021
Dense body part trajectories for human action recognition
OVR Murthy, I Radwan, R Goecke
2014 IEEE International Conference on Image Processing (ICIP), 1465-1469, 2014
72014
Mitigating the impact of adversarial attacks in very deep networks
M Hassanin, I Radwan, N Moustafa, M Tahtali, N Kumar
Applied Soft Computing 105, 107231, 2021
62021
Hierarchical adversarial network for human pose estimation
I Radwan, N Moustafa, B Keating, KKR Choo, R Goecke
IEEE Access 7, 103619-103628, 2019
52019
Efficient labelling of affective video datasets via few-shot & multi-task contrastive learning
R Parameshwara, I Radwan, A Asthana, I Abbasnejad, R Subramanian, ...
Proceedings of the 31st ACM International Conference on Multimedia, 6161-6170, 2023
42023
Examining Subject-Dependent and Subject-Independent Human Affect Inference from Limited Video Data
R Parameshwara, I Radwan, R Subramanian, R Goecke
2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023
42023
To improve is to change: Towards improving mood prediction by learning changes in emotion
S Narayana, R Subramanian, I Radwan, R Goecke
Companion Publication of the 2022 International Conference on Multimodal …, 2022
42022
A weakly supervised approach to emotion-change prediction and improved mood inference
S Narayana, I Radwan, R Parameshwara, I Abbasnejad, A Asthana, ...
2023 11th International Conference on Affective Computing and Intelligent …, 2023
32023
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals
R Parameshwara, S Narayana, M Murugappan, R Subramanian, ...
arXiv preprint arXiv:2202.12936, 2022
32022
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