209 citations · 373 across the 55 of their papers we have counts for
8 papers · 1 filter
Mesh Convolution with Continuous Filters for 3D Surface Parsing
Huan Lei, Naveed Akhtar, Mubarak Shah +1
Geometric feature learning for 3D surfaces is critical for many applications in computer graphics and 3D vision. However, deep learning currently lags in hierarchical modeling of 3…
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar, Ajmal Mian, Navid Kardan +1
Deep Learning (DL) is the most widely used tool in the contemporary field of computer vision. Its ability to accurately solve complex problems is employed in vision research to lea…
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar
Deep learning is gaining instant popularity in computer aided diagnosis of COVID-19. Due to the high sensitivity of Computed Tomography (CT) to this disease, CT-based COVID-19 dete…
Controlled Caption Generation for Images Through Adversarial Attacks
Nayyer Aafaq, Naveed Akhtar, Wei Liu +2
Deep learning is found to be vulnerable to adversarial examples. However, its adversarial susceptibility in image caption generation is under-explored. We study adversarial example…
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun +1
Backpropagation image saliency aims at explaining model predictions by estimating model-centric importance of individual pixels in the input. However, class-insensitivity of the ea…
Attack to Fool and Explain Deep Networks
Naveed Akhtar, Muhammad A. A. K. Jalwana, Mohammed Bennamoun +1
Deep visual models are susceptible to adversarial perturbations to inputs. Although these signals are carefully crafted, they still appear noise-like patterns to humans. This obser…