no code implementations • 23 Sep 2023 • Javaria Farooq, Nayyer Aafaq, M Khizer Ali Khan, Ammar Saleem, M Ibraheem Siddiqui
Subsequently, the second stage generates a batch-wise synthesis of artificial images, carefully designed with an array of diverse augmentations.
no code implementations • 7 Jul 2021 • Nayyer Aafaq, Naveed Akhtar, Wei Liu, Mubarak Shah, Ajmal Mian
In contrast, we propose a GAN-based algorithm for crafting adversarial examples for neural image captioning that mimics the internal representation of the CNN such that the resulting deep features of the input image enable a controlled incorrect caption generation through the recurrent network.
no code implementations • 21 Nov 2019 • Nayyer Aafaq, Naveed Akhtar, Wei Liu, Ajmal Mian
We perform extensive experiments by varying the constituent components of the video captioning framework, and quantify the performance gains that are possible by mere component selection.
no code implementations • CVPR 2019 • Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian
The final representation is projected to a compact space and fed to a language model.
no code implementations • 1 Jun 2018 • Nayyer Aafaq, Ajmal Mian, Wei Liu, Syed Zulqarnain Gilani, Mubarak Shah
Video description is the automatic generation of natural language sentences that describe the contents of a given video.