activity
20182025
most citedBrain MRI Segmentation using Rule-Based Hybrid Approach

4 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search

Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan +2

Person search is a challenging problem with various real-world applications, that aims at joint person detection and re-identification of a query person from uncropped gallery imag…

cs.CV20194 cited

Brain MRI Segmentation using Rule-Based Hybrid Approach

Mustansar Fiaz, Kamran Ali, Abdul Rehman +2

Medical image segmentation being a substantial component of image processing plays a significant role to analyze gross anatomy, to locate an infirmity and to plan the surgical proc…

cs.CV2018

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends

Mustansar Fiaz, Arif Mahmood, Sajid Javed +1

In recent years visual object tracking has become a very active research area. An increasing number of tracking algorithms are being proposed each year. It is because tracking has…

cs.CV2018

Tracking Noisy Targets: A Review of Recent Object Tracking Approaches

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung

Visual object tracking is an important computer vision problem with numerous real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-bas…

cs.CV20183 cited

Comparative Study of ECO and CFNet Trackers in Noisy Environment

Mustansar Fiaz, Sajid Javed, Arif Mahmood +1

Object tracking is one of the most challenging task and has secured significant attention of computer vision researchers in the past two decades. Recent deep learning based tracker…