7 citations · 8 across the 3 of their papers we have counts for
3 papers
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli +2
Self-supervised vision transformers (SSTs) have shown great potential to yield rich localization maps that highlight different objects in an image. However, these maps remain class…
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks
Tehseen Zia, Zeeshan Nisar, Shakeeb Murtaza
The image-based diagnosis is now a vital aspect of modern automation assisted diagnosis. To enable models to produce pixel-level diagnosis, pixel-level ground-truth labels are esse…
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli +2
Drones are employed in a growing number of visual recognition applications. A recent development in cell tower inspection is drone-based asset surveillance, where the autonomous fl…