no code implementations • 2 Apr 2024 • Ning Wang, Guangming Zhu, HS Li, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun
Extensive experiments on two complex video action datasets, Charades & CAD-120, validates the improved performance and interpretability of our LaIAR framework.
1 code implementation • 8 Jan 2024 • Huanyu Liu, JianFeng Cai, Tingjia Zhang, Hongsheng Li, Siyuan Wang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang
Automated conversion methods are essential to overcome manual conversion challenges.
no code implementations • 26 Mar 2022 • Zeyad Khalifa, Syed Afaq Ali Shah
To date there is no publicly available large dataset for visual affordance understanding and learning.
no code implementations • 3 Jan 2022 • Guangming Zhu, Liang Zhang, Youliang Jiang, Yixuan Dang, Haoran Hou, Peiyi Shen, Mingtao Feng, Xia Zhao, Qiguang Miao, Syed Afaq Ali Shah, Mohammed Bennamoun
In this paper, we provide a comprehensive survey of recent achievements in this field brought about by deep learning techniques.
no code implementations • 23 Aug 2021 • Nima Mirnateghi, Syed Afaq Ali Shah, Mohammed Bennamoun
In practice, the vulnerability of deep learning systems against carefully perturbed images, known as adversarial examples, poses a dire security threat in the physical world applications.
1 code implementation • 24 Jun 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
Thus, as comprehensive as possible, this paper provides a collection of medical image datasets with their associated challenges for deep learning research.
no code implementations • 24 Dec 2020 • Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
The area of automatic image caption evaluation is still undergoing intensive research to address the needs of generating captions which can meet adequacy and fluency requirements.
1 code implementation • 24 Dec 2020 • Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
Automatic evaluation metrics hold a fundamental importance in the development and fine-grained analysis of captioning systems.
no code implementations • 24 Dec 2020 • Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
In this work we address this common limitation of IC systems in dealing with rare words in the corpora.
no code implementations • 29 Jul 2020 • Devante Ayris, Kye Horbury, Blake Williams, Mitchell Blackney, Celine Shi Hui See, Maleeha Imtiaz, Syed Afaq Ali Shah
SARS-CoV2, which causes coronavirus disease (COVID-19) is continuing to spread globally and has become a pandemic.
no code implementations • 29 Jul 2020 • Syed Afaq Ali Shah, Weifeng Deng, Jian-Xin Li, Muhammad Aamir Cheema, Abdul Bais
Traditional approaches rely on the analysis of text data related to users to accomplish this task.
1 code implementation • 30 Jan 2020 • Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun
To solve these problems mentioned above, we propose a novel graph self-adaptive pooling method with the following objectives: (1) to construct a reasonable pooled graph topology, structure and feature information of the graph are considered simultaneously, which provide additional veracity and objectivity in node selection; and (2) to make the pooled nodes contain sufficiently effective graph information, node feature information is aggregated before discarding the unimportant nodes; thus, the selected nodes contain information from neighbor nodes, which can enhance the use of features of the unselected nodes.
1 code implementation • NeurIPS 2018 • Liang Zhang, Guangming Zhu, Lin Mei, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun
On this basis, a new variant of LSTM is derived, in which the convolutional structures are only embedded into the input-to-state transition of LSTM.
no code implementations • ECCV 2018 • Naeha Sharif, Lyndon White, Mohammed Bennamoun, Syed Afaq Ali Shah
The automatic evaluation of image descriptions is an intricate task, and it is highly important in the development and fine-grained analysis of captioning systems.
no code implementations • ACL 2018 • Naeha Sharif, Lyndon White, Mohammed Bennamoun, Syed Afaq Ali Shah
The evaluation of image caption quality is a challenging task, which requires the assessment of two main aspects in a caption: adequacy and fluency.
no code implementations • 26 Mar 2018 • Uzair Nadeem, Syed Afaq Ali Shah, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel
Class specific gallery subspaces are used to estimate regression models for each image of the test image set.
no code implementations • 10 Jan 2017 • Syed Afaq Ali Shah, Uzair Nadeem, Mohammed Bennamoun, Ferdous Sohel, Roberto Togneri
We estimate regression models for each test image using the class specific gallery subspaces.