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Syed Afaq Ali Shah
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2020 – today
- 2024
- [j32]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) - [j31]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) - [j30]Patrycja Sliwiak, Syed Afaq Ali Shah:
Text-to-text generative approach for enhanced complex word identification. Neurocomputing 610: 128501 (2024) - [j29]Binbin Wang, Xizheng Zhang, Jinlong Tian, Badreddine Merabet, Zhixiang Li, Syed Afaq Ali Shah, Yi Lei, Bingyi Liu, Kai Guo, Zhongyi Guo:
Research Progress on Router Devices for the OAM Optical Communication. Sensors 24(3): 944 (2024) - [j28]Kulsoom Saima Bughio, David M. Cook, Syed Afaq Ali Shah:
Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring. Sensors 24(9): 2804 (2024) - [c28]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 - [c27]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 - [i18]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) - [i17]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) - [i16]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) - 2023
- [j27]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) - [j26]Syed Afaq Ali Shah, Weifeng Deng, Muhammad Aamir Cheema, Abdul Bais:
CommuNety: deep learning-based face recognition system for the prediction of cohesive communities. Multim. Tools Appl. 82(7): 10641-10659 (2023) - [c26]Nima Mirnateghi, Syed Afaq Ali Shah, Mohammed Bennamoun:
Deep Bayesian Image Set Classification Approach for Defense against Adversarial Attacks. DICTA 2023: 501-508 - [c25]Zeyad Osama Khalifa, Syed Afaq Ali Shah:
A Large Scale Multi-View RGBD Visual Affordance Learning Dataset. ICIP 2023: 1325-1329 - [c24]Hassan Mahmood, Asim Iqbal, Syed Mohammed Shamsul Islam, Syed Afaq Ali Shah:
3D Brain Registration with Intensity Shift Robustness. ICIP 2023: 2805-2809 - [c23]Syed Afaq Ali Shah, Zeyad Osama Khalifa:
Hierarchical Transformer for Visual Affordance Understanding using a Large-scale Dataset. IROS 2023: 11371-11376 - [c22]Syed Mohammed Shamsul Islam, Syed Afaq Ali Shah, Chau Nguyen Duc Minh:
Deep Learning Approach for Automatic Segmentation of Dirt on Cattle Skin using Image Data. IVCNZ 2023: 1-6 - [c21]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 - [i15]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) - 2022
- [j25]Devante Ayris, Maleeha Imtiaz, Kye Horbury, Blake Williams, Mitchell Blackney, Celine Shi Hui See, Syed Afaq Ali Shah:
Novel deep learning approach to model and predict the spread of COVID-19. Intell. Syst. Appl. 14: 200068 (2022) - [j24]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) - [j23]Zhi Zeng, Ting Wang, Fulei Ma, Liang Zhang, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun:
Probability-Based Framework to Fuse Temporal Consistency and Semantic Information for Background Segmentation. IEEE Trans. Multim. 24: 740-754 (2022) - [j22]Liang Zhang, Jiahao Li, Guoqing Lu, Peiyi Shen, Mohammed Bennamoun, Syed Afaq Ali Shah, Qiguang Miao, Guangming Zhu, Ping Li, Xiaoyuan Lu:
Analysis and Variants of Broad Learning System. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 334-344 (2022) - [i14]Guangming Zhu, Liang Zhang, Youliang Jiang, Yixuan Dang, Haoran Hou, Peiyi Shen, Mingtao Feng, Xia Zhao, Qiguang Miao, Syed Afaq Ali Shah, Mohammed Bennamoun:
Scene Graph Generation: A Comprehensive Survey. CoRR abs/2201.00443 (2022) - [i13]Zeyad Osama Khalifa, Syed Afaq Ali Shah:
Towards Visual Affordance Learning: A Benchmark for Affordance Segmentation and Recognition. CoRR abs/2203.14092 (2022) - 2021
- [j21]Uzair Nadeem, Syed Afaq Ali Shah, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel:
Real time surveillance for low resolution and limited data scenarios: An image set classification approach. Inf. Sci. 580: 578-597 (2021) - [j20]Zhonghao Fan, Johann Li, Liang Zhang, Guangming Zhu, Ping Li, Xiaoyuan Lu, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun, Tao Hua, Wei Wei:
U-net based analysis of MRI for Alzheimer's disease diagnosis. Neural Comput. Appl. 33(20): 13587-13599 (2021) - [j19]Lubna, Naveed Mufti, Syed Afaq Ali Shah:
Automatic Number Plate Recognition: A Detailed Survey of Relevant Algorithms. Sensors 21(9): 3028 (2021) - [j18]Zhongliang Xue, Ping Li, Liang Zhang, Xiaoyuan Lu, Guangming Zhu, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun:
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images. IEEE Trans. Medical Imaging 40(12): 3531-3542 (2021) - [c20]Gemma Edwards, Nicholas Subianto, David Englund, Jun Wei Goh, Nathan Coughran, Zachary Milton, Nima Mirnateghi, Syed Afaq Ali Shah:
The Role of Machine Learning in Game Development Domain - A Review of Current Trends and Future Directions. DICTA 2021: 1-7 - [c19]Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
SubICap: Towards Subword-informed Image Captioning. WACV 2021: 3539-3540 - [i12]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. CoRR abs/2106.12864 (2021) - [i11]Nima Mirnateghi, Syed Afaq Ali Shah, Mohammed Bennamoun:
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks. CoRR abs/2108.10217 (2021) - 2020
- [j17]Ping Li, Xiangwen Kong, Johann Li, Guangming Zhu, Xiaoyuan Lu, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun, Tao Hua:
A Dataset of Pulmonary Lesions With Multiple-Level Attributes and Fine Contours. Frontiers Digit. Health 2: 609349 (2020) - [j16]Hongsheng Li, Liang Zhang, Xiangdong Zhang, Meili Zhang, Guangming Zhu, Peiyi Shen, Ping Li, Mohammed Bennamoun, Syed Afaq Ali Shah:
Color vision deficiency datasets & recoloring evaluation using GANs. Multim. Tools Appl. 79(37-38): 27583-27614 (2020) - [j15]Guangming Zhu, Liang Zhang, Hongsheng Li, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun:
Topology-learnable graph convolution for skeleton-based action recognition. Pattern Recognit. Lett. 135: 286-292 (2020) - [j14]Liang Zhang, Jiaming Zhang, Peiyi Shen, Guangming Zhu, Ping Li, Xiaoyuan Lu, Huan Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun:
Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation. IEEE Trans. Medical Imaging 39(9): 2782-2793 (2020) - [j13]Guangming Zhu, Liang Zhang, Lu Yang, Lin Mei, Syed Afaq Ali Shah, Mohammed Bennamoun, Peiyi Shen:
Redundancy and Attention in Convolutional LSTM for Gesture Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1323-1335 (2020) - [c18]Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
WEmbSim: A Simple yet Effective Metric for Image Captioning. DICTA 2020: 1-8 - [c17]Liang Zhang, Yufei Liu, Hang Xiao, Lu Yang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Peiyi Shen:
Efficient Scene Text Detection with Textual Attention Tower. ICASSP 2020: 4272-4276 - [c16]Syed Afaq Ali Shah, Moise Bougre, Naveed Akhtar, Mohammed Bennamoun, Liang Zhang:
Efficient Detection of Pixel-Level Adversarial Attacks. ICIP 2020: 718-722 - [c15]Naeha Sharif, Mohammad A. A. K. Jalwana, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
Leveraging Linguistically-aware Object Relations and NASNet for Image Captioning. IVCNZ 2020: 1-6 - [c14]Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun:
Structure-Feature based Graph Self-adaptive Pooling. WWW 2020: 3098-3104 - [i10]Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun:
Structure-Feature based Graph Self-adaptive Pooling. CoRR abs/2002.00848 (2020) - [i9]Liang Zhang, Yufei Liu, Hang Xiao, Lu Yang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Peiyi Shen:
Efficient Scene Text Detection with Textual Attention Tower. CoRR abs/2002.03741 (2020) - [i8]Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MeDaS: An open-source platform as service to help break the walls between medicine and informatics. CoRR abs/2007.06013 (2020) - [i7]Syed Afaq Ali Shah, Weifeng Deng, Jianxin Li, Muhammad Aamir Cheema, Abdul Bais:
CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities. CoRR abs/2007.14741 (2020) - [i6]Devante Ayris, Kye Horbury, Blake Williams, Mitchell Blackney, Celine Shi Hui See, Syed Afaq Ali Shah:
Deep Learning Models for Early Detection and Prediction of the spread of Novel Coronavirus (COVID-19). CoRR abs/2008.01170 (2020) - [i5]Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
SubICap: Towards Subword-informed Image Captioning. CoRR abs/2012.13122 (2020) - [i4]Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
LCEval: Learned Composite Metric for Caption Evaluation. CoRR abs/2012.13136 (2020) - [i3]Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
WEmbSim: A Simple yet Effective Metric for Image Captioning. CoRR abs/2012.13137 (2020)
2010 – 2019
- 2019
- [j12]Syed Afaq Ali Shah, Mohammed Bennamoun, Michael Molton:
Machine Learning Approaches for Prediction of Facial Rejuvenation Using Real and Synthetic Data. IEEE Access 7: 23779-23787 (2019) - [j11]Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
LCEval: Learned Composite Metric for Caption Evaluation. Int. J. Comput. Vis. 127(10): 1586-1610 (2019) - [j10]Guangming Zhu, Liang Zhang, Peiyi Shen, Juan Song, Syed Afaq Ali Shah, Mohammed Bennamoun:
Continuous Gesture Segmentation and Recognition Using 3DCNN and Convolutional LSTM. IEEE Trans. Multim. 21(4): 1011-1021 (2019) - [c13]Liang Zhang, Shuai Zhang, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun:
Relationship Detection Based on Object Semantic Inference and Attention Mechanisms. ICMR 2019: 68-72 - [c12]Syed Afaq Ali Shah:
Spatial Hierarchical Analysis Deep Neural Network for RGB-D Object Recognition. PSIVT Workshops 2019: 183-193 - [p1]Uzair Nadeem, Syed Afaq Ali Shah, Ferdous Sohel, Roberto Togneri, Mohammed Bennamoun:
Deep Learning for Scene Understanding. Handbook of Deep Learning Applications 2019: 21-51 - 2018
- [b1]Salman Hameed Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun:
A Guide to Convolutional Neural Networks for Computer Vision. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00693-7 - [j9]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd, Lyndon While:
Evolutionary Feature Learning for 3-D Object Recognition. IEEE Access 6: 2434-2444 (2018) - [j8]Liang Zhang, Huan Li, Peiyi Shen, Guangming Zhu, Juan Song, Syed Afaq Ali Shah, Mohammed Bennamoun, Li Zhang:
Improving Semantic Image Segmentation With a Probabilistic Superpixel-Based Dense Conditional Random Field. IEEE Access 6: 15297-15310 (2018) - [j7]Liang Zhang, Yuanyuan Feng, Peiyi Shen, Guangming Zhu, Wei Wei, Juan Song, Syed Afaq Ali Shah, Mohammed Bennamoun:
Efficient finer-grained incremental processing with MapReduce for big data. Future Gener. Comput. Syst. 80: 102-111 (2018) - [j6]Liang Zhang, Qing Xu, Guangming Zhu, Juan Song, Xiangdong Zhang, Peiyi Shen, Wei Wei, Syed Afaq Ali Shah, Mohammed Bennamoun:
Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency. IET Image Process. 12(3): 314-319 (2018) - [j5]Liang Zhang, Le Wang, Xiangdong Zhang, Peiyi Shen, Mohammed Bennamoun, Guangming Zhu, Syed Afaq Ali Shah, Juan Song:
Semantic scene completion with dense CRF from a single depth image. Neurocomputing 318: 182-195 (2018) - [c11]Naeha Sharif, Lyndon White, Mohammed Bennamoun, Syed Afaq Ali Shah:
Learning-based Composite Metrics for Improved Caption Evaluation. ACL (3) 2018: 14-20 - [c10]Naeha Sharif, Lyndon White, Mohammed Bennamoun, Syed Afaq Ali Shah:
NNEval: Neural Network Based Evaluation Metric for Image Captioning. ECCV (8) 2018: 39-55 - [c9]Liang Zhang, Xiangwen Kong, Peiyi Shen, Guangming Zhu, Juan Song, Syed Afaq Ali Shah, Mohammed Bennamoun:
Reflective Field for Pixel-Level Tasks. ICPR 2018: 529-534 - [c8]Syed Afaq Ali Shah, Mohammed Bennamoun, Michael Molton:
A Fully Automatic Framework for Prediction of 3D Facial Rejuvenation. IVCNZ 2018: 1-6 - [c7]Syed Afaq Ali Shah, Mohammed Bennamoun, Michael Molton:
A Training-Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvenation. IVCNZ 2018: 1-6 - [c6]Liang Zhang, Guangming Zhu, Lin Mei, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun:
Attention in Convolutional LSTM for Gesture Recognition. NeurIPS 2018: 1957-1966 - [i2]Uzair Nadeem, Syed Afaq Ali Shah, Mohammed Bennamoun, Roberto Togneri, Ferdous Ahmed Sohel:
Image Set Classification for Low Resolution Surveillance. CoRR abs/1803.09470 (2018) - 2017
- [j4]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Keypoints-based surface representation for 3D modeling and 3D object recognition. Pattern Recognit. 64: 29-38 (2017) - [c5]Syed Afaq Ali Shah, Uzair Nadeem, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Efficient Image Set Classification Using Linear Regression Based Image Reconstruction. CVPR Workshops 2017: 601-610 - [i1]Syed Afaq Ali Shah, Uzair Nadeem, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Efficient Image Set Classification using Linear Regression based Image Reconstruction. CoRR abs/1701.02485 (2017) - 2016
- [j3]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Iterative deep learning for image set based face and object recognition. Neurocomputing 174: 866-874 (2016) - [j2]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
A novel feature representation for automatic 3D object recognition in cluttered scenes. Neurocomputing 205: 1-15 (2016) - 2015
- [j1]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
A novel 3D vorticity based approach for automatic registration of low resolution range images. Pattern Recognit. 48(9): 2859-2871 (2015) - [c4]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Automatic 3D face landmark localization based on 3D vector field analysis. IVCNZ 2015: 1-6 - 2014
- [c3]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Performance Evaluation of 3D Local Surface Descriptors for Low and High Resolution Range Image Registration. DICTA 2014: 1-7 - 2013
- [c2]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd, Amar A. El-Sallam:
A Novel Local Surface Description for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes. ICCV Workshops 2013: 638-643 - [c1]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd, Amar A. El-Sallam:
3D-Div: A novel local surface descriptor for feature matching and pairwise range image registration. ICIP 2013: 2934-2938
Coauthor Index
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last updated on 2024-12-02 21:28 CET by the dblp team
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