Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...

In the ever-evolving landscape of medical innovation, the pursuit of accurate and efficient diagnostic tools for neurodegenerative diseases, notably Alzheimer's, has become increasingly urgent. The relentless progression ...

The remarkable evolution of digital imaging techniques, processing and sharing in the past decades has spurred the penetration of multimedia into our lives. Unaccountable and ubiquitous use of multimedia brings severe ...

The rise of surveillance cameras has led to a significant focus on large scale deployment of intelligent surveillance systems. Person re-identification (Re-ID) is one of the quintessential surveillance problems. Person ...

Adversarial attacks have been extensively investigated in the recent past. Quite interestingly, a majority of these attacks primarily work in the lp space. In this work, we propose a novel approach for generating adversarial ...

Unsupervised Person Re-Identi cation (Re-ID) su ers severely from the gap in the modality. Many factors pose a challenge to the task, including occlusions, lightning conditions, pose changes, among several others. Various ...

Unsupervised domain adaptation severely suffers from huge domain gap in fine grained recognition tasks such as vehicle re-identification (re-id). Existing works either focus on fully unsupervised methods using tracklet or ...

Visual tracking or object tracking is the process of estimating the state of the target in successive frames of a video sequence. It is an integral part of a plethora of applications like security, surveillance, navigation ...