default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMohammed Bennamoun
Person information
- affiliation: University of Western Australia, School of Computer Science and Software Engineering, Perth, WA, USA
- affiliation (PhD 1996): Queensland University of Technology, Space Centre for Satellite Navigation, Brisbane, QLD, Australia
- affiliation (former): Queen's University, Kingston, ON, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j202]Nuoye Xiong
, Ning Wang, Hongsheng Li, Guangming Zhu, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun:
Enhancing object recognition: The role of object knowledge decomposition and component-labeled datasets. Neurocomputing 617: 128969 (2025)- 2024
- [j201]Mohamad Alansari, Abdelfatah Hassan Ahmed, Khaled Alnuaimi, Divya Velayudhan, Taimur Hassan, Sajid Javed, Mohammed Bennamoun, Naoufel Werghi:
Multi-Scale Hierarchical Contour Framework for Detecting Cluttered Threats in Baggage Security. IEEE Access 12: 77454-77467 (2024) - [j200]Yulan Guo, Hanyun Wang, Longguang Wang, Yinjie Lei, Li Liu, Mohammed Bennamoun:
3D Face Recognition: Two Decades of Progress and Prospects. ACM Comput. Surv. 56(3): 54:1-54:39 (2024) - [j199]Johann Li, Guangming Zhu, Cong Hua, Mingtao Feng, Basheer Bennamoun, Ping Li, Xiaoyuan Lu, Juan Song, Peiyi Shen, Xu Xu, Lin Mei, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun:
A Systematic Collection of Medical Image Datasets for Deep Learning. ACM Comput. Surv. 56(5): 116:1-116:51 (2024) - [j198]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun:
3D Brain and Heart Volume Generative Models: A Survey. ACM Comput. Surv. 56(6): 137:1-137:37 (2024) - [j197]Uchitha Rajapaksha, Ferdous Sohel, Hamid Laga, Dean Diepeveen, Mohammed Bennamoun:
Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey. ACM Comput. Surv. 56(12): 315:1-315:51 (2024) - [j196]Abdelfatah Hassan Ahmed, Divya Velayudhan, Taimur Hassan, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation. Eng. Appl. Artif. Intell. 130: 107639 (2024) - [j195]Hongsheng Li, Guangming Zhu, Liang Zhang, Youliang Jiang, Yixuan Dang, Haoran Hou, Peiyi Shen, Xia Zhao, Syed Afaq Ali Shah, Mohammed Bennamoun:
Scene Graph Generation: A comprehensive survey. Neurocomputing 566: 127052 (2024) - [j194]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Hamid Laga, Wanli Ouyang, Dan Xu:
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8380-8395 (2024) - [j193]Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang:
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. Pattern Recognit. 145: 109902 (2024) - [j192]Michael Mckay, Monica F. Danilevicz, Michael B. Ashworth, Roberto Lujan Rocha, Shriprabha R. Upadhyaya, Mohammed Bennamoun, David Edwards:
Focus on the Crop Not the Weed: Canola Identification for Precision Weed Management Using Deep Learning. Remote. Sens. 16(11): 2041 (2024) - [j191]Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Mubarak Shah, Ajmal Mian:
Temporally Consistent Referring Video Object Segmentation With Hybrid Memory. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11373-11385 (2024) - [j190]Divya Velayudhan, Abdelfatah Hassan Ahmed, Taimur Hassan, Neha Gour, Muhammad Owais, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
Autonomous Localization of X-Ray Baggage Threats via Weakly Supervised Learning. IEEE Trans. Ind. Informatics 20(4): 6563-6572 (2024) - [j189]Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian:
Region Aware Video Object Segmentation With Deep Motion Modeling. IEEE Trans. Image Process. 33: 2639-2651 (2024) - [j188]Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6628-6642 (2024) - [j187]Renfei Sun, Kun Hu, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Simon J. G. Lewis, Zhiyong Wang:
Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12746-12759 (2024) - [j186]Divya Velayudhan, Abdelfatah Hassan Ahmed, Taimur Hassan, Muhammad Owais, Neha Gour, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items. Vis. Comput. Ind. Biomed. Art 7(1): 30 (2024) - [c192]Sajid Javed, Arif Mahmood, Iyyakutti Iyappan Ganapathi, Fayaz Ali Dharejo, Naoufel Werghi, Mohammed Bennamoun:
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment. CVPR 2024: 11450-11459 - [c191]Ning Wang, Guangming Zhu, HS Li, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun:
Language Model Guided Interpretable Video Action Reasoning. CVPR 2024: 18878-18887 - [c190]Qi Wang, Zhou Xu, Yuming Lin, Jingtao Ye, Hongsheng Li, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang:
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition. ECCV (84) 2024: 55-72 - [c189]Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun:
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion. ECCV (11) 2024: 127-143 - [c188]Tahmina Khanam, Hamid Laga, Mohammed Bennamoun, Guanjin Wang, Ferdous Sohel, Farid Boussaïd, Guan Wang, Anuj Srivastava:
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-Shaped Structures. ECCV (67) 2024: 326-341 - [c187]Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson:
Supervised Radio Frequency Interference Detection with SNNs. ICONS 2024: 102-109 - [c186]Qiang Han, Farid Boussaïd, Mohammed Bennamoun:
Model Predictive Control-Based Reinforcement Learning. ISCAS 2024: 1-5 - [c185]Mehraan Chowdhury, Mohammed Bennamoun, Farid Boussaïd, Syed Mohammed Shamsul Islam:
Automatic Detection of Peripheral Facial Landmarks Using 3D Facial Data. IVCNZ 2024: 1-6 - [c184]Mohammed Bennamoun:
Seeing in 3D: Assistive Robotics with Advanced Computer Vision. MRAC@MM 2024: 8-9 - [i114]Huanyu Liu, Jianfeng Cai, Tingjia Zhang, Hongsheng Li, Siyuan Wang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang:
Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach. CoRR abs/2401.03742 (2024) - [i113]Thang-Anh-Quan Nguyen, Amine Bourki, Mátyás Macudzinski, Anthony Brunel, Mohammed Bennamoun:
Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review. CoRR abs/2402.11141 (2024) - [i112]Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun, Aref Miri Rekavandi, Hamid Laga, Farid Boussaïd:
Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models. CoRR abs/2402.17910 (2024) - [i111]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu:
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2403.01156 (2024) - [i110]Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Mubarak Shah, Ajmal Mian:
Towards Temporally Consistent Referring Video Object Segmentation. CoRR abs/2403.19407 (2024) - [i109]Ning Wang, Guangming Zhu, HS Li, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun:
Language Model Guided Interpretable Video Action Reasoning. CoRR abs/2404.01591 (2024) - [i108]Sajid Javed, Arif Mahmood, Iyyakutti Iyappan Ganapathi, Fayaz Ali Dharejo, Naoufel Werghi, Mohammed Bennamoun:
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment. CoRR abs/2406.05205 (2024) - [i107]Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson:
Supervised Radio Frequency Interference Detection with SNNs. CoRR abs/2406.06075 (2024) - [i106]Uchitha Rajapaksha, Ferdous Sohel, Hamid Laga, Dean Diepeveen, Mohammed Bennamoun:
Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey. CoRR abs/2406.19675 (2024) - [i105]Qi Wang, Zhou Xu, Yuming Lin, Jingtao Ye, Hongsheng Li, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang:
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition. CoRR abs/2407.05106 (2024) - [i104]Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun, Aref Miri Rekavandi, Zinuo Li, Hamid Laga, Farid Boussaïd:
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions. CoRR abs/2407.19205 (2024) - [i103]Tahmina Khanam, Hamid Laga, Mohammed Bennamoun, Guanjin Wang, Ferdous Sohel, Farid Boussaïd, Guan Wang, Anuj Srivastava:
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures. CoRR abs/2408.12443 (2024) - [i102]Maria Marrium, Arif Mahmood, Mohammed Bennamoun:
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels. CoRR abs/2410.04256 (2024) - [i101]Ahmad Obeid, Said Boumaraf, Anabia Sohail, Taimur Hassan, Sajid Javed, Jorge Dias, Mohammed Bennamoun, Naoufel Werghi:
Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review. CoRR abs/2410.19820 (2024) - [i100]Bo Miao, Mingtao Feng, Zijie Wu, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian:
Referring Human Pose and Mask Estimation in the Wild. CoRR abs/2410.20508 (2024) - [i99]Chengyuan Zhang, Yilin Zhang, Lei Zhu, Deyin Liu, Lin Wu, Bo Li, Shichao Zhang, Mohammed Bennamoun, Farid Boussaïd:
UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation. CoRR abs/2411.08569 (2024) - 2023
- [j185]Wijayanti Nurul Khotimah, Mohammed Bennamoun, Farid Boussaïd, Lian Xu, David Edwards, Ferdous Sohel:
MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens. Int. J. Appl. Earth Obs. Geoinformation 118: 103286 (2023) - [j184]Shervin Minaee, Amirali Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang:
Biometrics recognition using deep learning: a survey. Artif. Intell. Rev. 56(8): 8647-8695 (2023) - [j183]Alishba Sadiq, Imran Naseem, Shujaat Khan, Muhammad Moinuddin, Roberto Togneri, Mohammed Bennamoun:
A novel quantum calculus-based complex least mean square algorithm (q-CLMS). Appl. Intell. 53(2): 1350-1369 (2023) - [j182]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun:
Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. 240: 107685 (2023) - [j181]Juan Lu, Jonathon Stewart, Mohammed Bennamoun, Adrian Goudie, Jason Eshraghian, Abdul Ihdayhid, Frank M. Sanfilippo, Gary R. Small, Benjamin J. W. Chow, Girish Dwivedi:
Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. Comput. Methods Programs Biomed. 240: 107717 (2023) - [j180]Hoda Mohaghegh, Farid Boussaïd, Hamid Laga, Hossein Rahmani, Mohammed Bennamoun:
Robust monocular 3D face reconstruction under challenging viewing conditions. Neurocomputing 520: 82-93 (2023) - [j179]Guoqiang Ye, Juan Song, Mingtao Feng, Guangming Zhu, Peiyi Shen, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun:
Position and structure-aware graph learning. Neurocomputing 556: 126581 (2023) - [j178]Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djeraba, Mohammed Bennamoun:
Spiking neural networks for frame-based and event-based single object localization. Neurocomputing 559: 126805 (2023) - [j177]Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi:
Unsupervised anomaly instance segmentation for baggage threat recognition. J. Ambient Intell. Humaniz. Comput. 14(3): 1607-1618 (2023) - [j176]Taimur Hassan, Samet Akcay, Bilal Hassan, Mohammed Bennamoun, Salman H. Khan, Jorge Dias, Naoufel Werghi:
Cascaded structure tensor for robust baggage threat detection. Neural Comput. Appl. 35(15): 11269-11285 (2023) - [j175]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Dan Xu:
Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation. Neural Comput. Appl. 35(27): 20189-20205 (2023) - [j174]Syed Muhammad Atif, Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun:
Multi-Kernel Fusion for RBF Neural Networks. Neural Process. Lett. 55(2): 1045-1069 (2023) - [j173]Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, Anuj Srivastava:
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1335-1352 (2023) - [j172]Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu:
Human Action Recognition From Various Data Modalities: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3200-3225 (2023) - [j171]Adnan Qayyum, Inaam Ilahi, Fahad Shamshad, Farid Boussaïd, Mohammed Bennamoun, Junaid Qadir:
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6511-6536 (2023) - [j170]Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu:
Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE 111(9): 1016-1054 (2023) - [j169]Xiaohan Yu, Yongsheng Gao, Mohammed Bennamoun, Shengwu Xiong:
A Lie algebra representation for efficient 2D shape classification. Pattern Recognit. 134: 109078 (2023) - [j168]Zhiheng Fu, Siyu Hong, Mengyi Liu, Hamid Laga, Mohammed Bennamoun, Farid Boussaïd, Yulan Guo:
Multi-stage information diffusion for joint depth and surface normal estimation. Pattern Recognit. 141: 109660 (2023) - [j167]Uzair Nadeem, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel, Aref Miri Rekavandi, Farid Boussaïd:
Cross domain 2D-3D descriptor matching for unconstrained 6-DOF pose estimation. Pattern Recognit. 142: 109655 (2023) - [j166]Aref Miri Rekavandi, Farid Boussaïd, Abd-Krim Seghouane, Mohammed Bennamoun:
B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation From RGB Images. IEEE Robotics Autom. Lett. 8(10): 6747-6754 (2023) - [j165]Monica F. Danilevicz, Roberto Lujan Rocha, Jacqueline Batley, Philipp E. Bayer, Mohammed Bennamoun, David Edwards, Michael B. Ashworth:
Segmentation of Sandplain Lupin Weeds from Morphologically Similar Narrow-Leafed Lupins in the Field. Remote. Sens. 15(7): 1817 (2023) - [j164]Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie:
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Trans. Image Process. 32: 4800-4811 (2023) - [j163]Kun Hu, Zhiyong Wang, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Mohammed Bennamoun, Ah Chung Tsoi, Simon J. G. Lewis:
Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1588-1600 (2023) - [j162]Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4153-4166 (2023) - [j161]Deyin Liu, Lin Wu, Richang Hong, Zongyuan Ge, Jialie Shen, Farid Boussaïd, Mohammed Bennamoun:
Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 20:1-20:19 (2023) - [c183]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization. CVPR 2023: 19596-19605 - [c182]Nima Mirnateghi, Syed Afaq Ali Shah, Mohammed Bennamoun:
Deep Bayesian Image Set Classification Approach for Defense against Adversarial Attacks. DICTA 2023: 501-508 - [c181]Dhruv Chetan Jobanputra, Mohammed Bennamoun, Farid Boussaïd, Lian Xu, Jafri Kuthubutheen:
Classical approaches and new deep learning trends to assist in accurately and efficiently diagnosing ear disease from otoscopic images. EUVIP 2023: 1-7 - [c180]Aref Miri Rekavandi, Abd-Krim Seghouane, Farid Boussaïd, Mohammed Bennamoun:
Extended Expectation Maximization for Under-Fitted Models. ICASSP 2023: 1-5 - [c179]Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian:
Spectrum-guided Multi-granularity Referring Video Object Segmentation. ICCV 2023: 920-930 - [c178]Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun:
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion. ICCV 2023: 12074-12084 - [c177]Divya Velayudhan, Abdelfatah Hassan Ahmed, Taimur Hassan, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
Context-Aware Transformers for Weakly Supervised Baggage Threat Localization. ICIP 2023: 3538-3542 - [c176]Abdelfatah Hassan Ahmed, Divya Velayudhan, Taimur Hassan, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
Highly Imbalanced Baggage Threat Classification. ICMLC 2023: 121-126 - [c175]Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Reinforced Learning for Label-Efficient 3D Face Reconstruction. ICRA 2023: 6028-6034 - [c174]Jiaming Gu, Minchao Jiang, Hongsheng Li, Xiaoyuan Lu, Guangming Zhu, Syed Afaq Ali Shah, Liang Zhang, Mohammed Bennamoun:
UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene. NeurIPS 2023 - [d2]Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Active-Passive SimStereo. IEEE DataPort, 2023
- [i98]Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaïd, Mohammed Bennamoun:
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. CoRR abs/2303.06052 (2023) - [i97]Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson:
A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks. CoRR abs/2304.06897 (2023) - [i96]Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian:
Spectrum-guided Multi-granularity Referring Video Object Segmentation. CoRR abs/2307.13537 (2023) - [i95]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Hamid Laga, Wanli Ouyang, Dan Xu:
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2308.03005 (2023) - [i94]Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR abs/2309.00330 (2023) - [i93]Aref Miri Rekavandi, Shima Rashidi, Farid Boussaïd, Stephen Hoefs, Emre Akbas, Mohammed Bennamoun:
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art. CoRR abs/2309.04902 (2023) - [i92]Jiaming Gu, Minchao Jiang, Hongsheng Li, Xiaoyuan Lu, Guangming Zhu, Syed Afaq Ali Shah, Liang Zhang, Mohammed Bennamoun:
UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene. CoRR abs/2310.13263 (2023) - [i91]Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson:
RFI Detection with Spiking Neural Networks. CoRR abs/2311.14303 (2023) - [i90]Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen, Wray L. Buntine, Mohammed Bennamoun:
HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts. CoRR abs/2311.14747 (2023) - 2022
- [j160]Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. Comput. Biol. Medicine 150: 106126 (2022) - [j159]Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Wray L. Buntine, Mohammed Bennamoun:
Hands-On Bayesian Neural Networks - A Tutorial for Deep Learning Users. IEEE Comput. Intell. Mag. 17(2): 29-48 (2022) - [j158]Isaac Ronald Ward, Jack Joyner, Casey Lickfold, Yulan Guo, Mohammed Bennamoun:
A Practical Tutorial on Graph Neural Networks. ACM Comput. Surv. 54(10s): 205:1-205:35 (2022) - [j157]Xiaoshui Huang, Yangfu Wang, Sheng Li, Guofeng Mei, Zongyi Xu, Yucheng Wang, Jian Zhang, Mohammed Bennamoun:
Robust real-world point cloud registration by inlier detection. Comput. Vis. Image Underst. 224: 103556 (2022) - [j156]Henry Wing Fung Yeung, Meng Zhou, Yuk Ying Chung, Grant Moule, Wayne Thompson, Wanli Ouyang, Weidong Cai, Mohammed Bennamoun:
Deep-learning-based solution for data deficient satellite image segmentation. Expert Syst. Appl. 191: 116210 (2022) - [j155]Yulan Guo, Hanyun Wang, Ronald Clark, Stefano Berretti, Mohammed Bennamoun:
Deep learning for 3D vision. IET Comput. Vis. 16(7): 567-569 (2022) - [j154]A. A. M. Muzahid, Wanggen Wan, Ferdous Sohel, Mohammed Bennamoun, Li Hou, Hidayat Ullah:
Erratum to "Progressive conditional GAN-based augmentation for 3D object recognition" [Neurocomputing 460 (2021) 20-30]. Neurocomputing 473: 158 (2022) - [j153]Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chabane Djeraba, Mohammed Bennamoun:
A comparative study on optical flow for facial expression analysis. Neurocomputing 500: 434-448 (2022) - [j152]Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Tensor pooling-driven instance segmentation framework for baggage threat recognition. Neural Comput. Appl. 34(2): 1239-1250 (2022) - [j151]Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Maoguo Gong, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. Neural Comput. Appl. 34(8): 6547-6567 (2022) - [j150]Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi:
A reinforcement learning-based approach for imputing missing data. Neural Comput. Appl. 34(12): 9701-9716 (2022) - [j149]Hamid Laga, Laurent Valentin Jospin, Farid Boussaïd, Mohammed Bennamoun:
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1738-1764 (2022) - [j148]Naveed Akhtar, Mohammad A. A. K. Jalwana, Mohammed Bennamoun, Ajmal Mian:
Attack to Fool and Explain Deep Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5980-5995 (2022) - [j147]Wijayanti Nurul Khotimah, Farid Boussaïd, Ferdous Sohel, Lian Xu, David Edwards, Xiu Jin, Mohammed Bennamoun:
SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification. Remote. Sens. 14(17): 4288 (2022) - [j146]Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
ScoreGAN: A Fraud Review Detector Based on Regulated GAN With Data Augmentation. IEEE Trans. Inf. Forensics Secur. 17: 280-291 (2022) - [j145]Delphine Poux, Benjamin Allaert, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun:
Dynamic Facial Expression Recognition Under Partial Occlusion With Optical Flow Reconstruction. IEEE Trans. Image Process. 31: 446-457 (2022) - [j144]