10 citations · 10 across the 2 of their papers we have counts for
6 papers
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
Aamir Mustafa, Param Hanji, Rafal K. Mantiuk
Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each repre…
Training a Task-Specific Image Reconstruction Loss
Aamir Mustafa, Aliaksei Mikhailiuk, Dan Andrei Iliescu +2
The choice of a loss function is an important factor when training neural networks for image restoration problems, such as single image super resolution. The loss function should e…
Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
Aamir Mustafa, Rafal K. Mantiuk
Scarcity of labeled data has motivated the development of semi-supervised learning methods, which learn from large portions of unlabeled data alongside a few labeled samples. Consi…
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
Aamir Mustafa, Salman Khan, Munawar Hayat +3
Deep neural networks are vulnerable to adversarial attacks, which can fool them by adding minuscule perturbations to the input images. The robustness of existing defenses suffers g…
Image Super-Resolution as a Defense Against Adversarial Attacks
Aamir Mustafa, Salman H. Khan, Munawar Hayat +2
Convolutional Neural Networks have achieved significant success across multiple computer vision tasks. However, they are vulnerable to carefully crafted, human-imperceptible advers…
Prediction and Localization of Student Engagement in the Wild
Amanjot Kaur, Aamir Mustafa, Love Mehta +1
In this paper, we introduce a new dataset for student engagement detection and localization. Digital revolution has transformed the traditional teaching procedure and a result anal…