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Training Spiking Neural Networks Using Lessons From Deep Learning


Oct 01, 2021
Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu


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Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks


Aug 23, 2021
Nima Mirnateghi, Syed Afaq Ali Shah, Mohammed Bennamoun


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Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition


Aug 22, 2021
Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi

* Accepted in Neural Computing and Applications. Source code is available at https://github.com/taimurhassan/tensorpooling 

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Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation


Jul 27, 2021
Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian

* 10 pages, 5 figures 

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Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation


Jul 27, 2021
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Ferdous Sohel, Dan Xu

* Accepted at ICCV 2021 

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Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition


Jul 16, 2021
Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi

* Accepted in J-AIHC, Source Code is available at https://github.com/taimurhassan/anomaly 

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A Systematic Collection of Medical Image Datasets for Deep Learning


Jun 24, 2021
Johann Li, Guangming Zhu, Cong Hua, Mingtao Feng, BasheerBennamoun, Ping Li, Xiaoyuan Lu, Juan Song, Peiyi Shen, Xu Xu, Lin Mei, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun

* This paper has been submitted to one journal 

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CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency


Jun 20, 2021
Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian

* IEEE CVPR 2021 paper 

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Attack to Fool and Explain Deep Networks


Jun 20, 2021
Naveed Akhtar, Muhammad A. A. K. Jalwana, Mohammed Bennamoun, Ajmal Mian

* To appear in IEEE TPAMI. arXiv admin note: text overlap with arXiv:1905.11544 

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q-RBFNN:A Quantum Calculus-based RBF Neural Network


Jun 02, 2021
Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

* Article is under review. This is a preprint version 

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HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features


May 25, 2021
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun


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Human Action Recognition from Various Data Modalities: A Review


Jan 29, 2021
Zehua Sun, Jun Liu, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang


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4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data


Jan 23, 2021
Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, Anuj Srivastava


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Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction


Dec 24, 2020
Delphine Poux, Benjamin Allaert, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun


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WEmbSim: A Simple yet Effective Metric for Image Captioning


Dec 24, 2020
Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah

* International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2020 
* 7 pages 

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LCEval: Learned Composite Metric for Caption Evaluation


Dec 24, 2020
Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah

* International Journal of Computer Vision (October 2019) 
* 18 pages 

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SubICap: Towards Subword-informed Image Captioning


Dec 24, 2020
Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah

* Workshop on Applications of Computer Vision (WACV), 2021 
* 8 pages 

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Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks


Dec 01, 2020
Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M Sanfilippo, Girish Dwivedi


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A Practical Guide to Graph Neural Networks


Oct 11, 2020
Isaac Ronald Ward, Jack Joyner, Casey Lickfold, Stash Rowe, Yulan Guo, Mohammed Bennamoun

* 28 pages, 15 figures, currently under review at ACM CSUR 

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Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion


Oct 05, 2020
Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi

* ACCV-2020 Camera Ready, Source Code: https://github.com/taimurhassan/TST 

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Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users


Jul 14, 2020
Laurent Valentin Jospin, Wray Buntine, Farid Boussaid, Hamid Laga, Mohammed Bennamoun

* 35 pages, 15 figures 

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Multi-Kernel Fusion for RBF Neural Networks


Jul 06, 2020
Syed Muhammad Atif, Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun


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Orthogonal Deep Models As Defense Against Black-Box Attacks


Jun 26, 2020
Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian

* Accepted in IEEE Access 

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GANgster: A Fraud Review Detector based on Regulated GAN with Data Augmentation


Jun 11, 2020
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun


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DFraud3- Multi-Component Fraud Detection freeof Cold-start


Jun 11, 2020
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun


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A Survey on Deep Learning Techniques for Stereo-based Depth Estimation


Jun 01, 2020
Hamid Laga, Laurent Valentin Jospin, Farid Boussaid, Mohammed Bennamoun


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Unconstrained Matching of 2D and 3D Descriptors for 6-DOF Pose Estimation


May 29, 2020
Uzair Nadeem, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel


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