Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Shah, Syed Afaq Ali"'
Autor:
Wang, Qi, Xu, Zhou, Lin, Yuming, Ye, Jingtao, Li, Hongsheng, Zhu, Guangming, Shah, Syed Afaq Ali, Bennamoun, Mohammed, Zhang, Liang
Neuromorphic sensors, specifically event cameras, revolutionize visual data acquisition by capturing pixel intensity changes with exceptional dynamic range, minimal latency, and energy efficiency, setting them apart from conventional frame-based came
Externí odkaz:
http://arxiv.org/abs/2407.05106
While neural networks have excelled in video action recognition tasks, their black-box nature often obscures the understanding of their decision-making processes. Recent approaches used inherently interpretable models to analyze video actions in a ma
Externí odkaz:
http://arxiv.org/abs/2404.01591
Autor:
Liu, Huanyu, Cai, Jianfeng, Zhang, Tingjia, Li, Hongsheng, Wang, Siyuan, Zhu, Guangming, Shah, Syed Afaq Ali, Bennamoun, Mohammed, Zhang, Liang
Flowcharts and mind maps, collectively known as flowmind, are vital in daily activities, with hand-drawn versions facilitating real-time collaboration. However, there's a growing need to digitize them for efficient processing. Automated conversion me
Externí odkaz:
http://arxiv.org/abs/2401.03742
Autor:
Gu, Jiaming, Jiang, Minchao, Li, Hongsheng, Lu, Xiaoyuan, Zhu, Guangming, Shah, Syed Afaq Ali, Zhang, Liang, Bennamoun, Mohammed
Neural Radiance Fields (NeRF) is a novel implicit 3D reconstruction method that shows immense potential and has been gaining increasing attention. It enables the reconstruction of 3D scenes solely from a set of photographs. However, its real-time ren
Externí odkaz:
http://arxiv.org/abs/2310.13263
Autor:
Khalifa, Zeyad, Shah, Syed Afaq Ali
The physical and textural attributes of objects have been widely studied for recognition, detection and segmentation tasks in computer vision.~A number of datasets, such as large scale ImageNet, have been proposed for feature learning using data hung
Externí odkaz:
http://arxiv.org/abs/2203.14092
Autor:
Zhu, Guangming, Zhang, Liang, Jiang, Youliang, Dang, Yixuan, Hou, Haoran, Shen, Peiyi, Feng, Mingtao, Zhao, Xia, Miao, Qiguang, Shah, Syed Afaq Ali, Bennamoun, Mohammed
Deep learning techniques have led to remarkable breakthroughs in the field of generic object detection and have spawned a lot of scene-understanding tasks in recent years. Scene graph has been the focus of research because of its powerful semantic re
Externí odkaz:
http://arxiv.org/abs/2201.00443
Autor:
Śliwiak, Patrycja, Shah, Syed Afaq Ali
Publikováno v:
In Neurocomputing 28 December 2024 610
Deep learning has become an integral part of various computer vision systems in recent years due to its outstanding achievements for object recognition, facial recognition, and scene understanding. However, deep neural networks (DNNs) are susceptible
Externí odkaz:
http://arxiv.org/abs/2108.10217
Autor:
Li, Johann, Zhu, Guangming, Hua, Cong, Feng, Mingtao, BasheerBennamoun, Li, Ping, Lu, Xiaoyuan, Song, Juan, Shen, Peiyi, Xu, Xu, Mei, Lin, Zhang, Liang, Shah, Syed Afaq Ali, Bennamoun, Mohammed
The astounding success made by artificial intelligence (AI) in healthcare and other fields proves that AI can achieve human-like performance. However, success always comes with challenges. Deep learning algorithms are data-dependent and require large
Externí odkaz:
http://arxiv.org/abs/2106.12864
Autor:
Yu, Wangtao, Shah, Syed Afaq Ali, Li, Dekui, Guo, Kai, Liu, Bingyi, Sun, Yongxuan, Yin, Zhiping, Guo, Zhongyi
Publikováno v:
In Optics and Laser Technology February 2024 169