7 citations · 14 across the 2 of their papers we have counts for
4 papers
Towards Improving Calibration in Object Detection Under Domain Shift
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz +1
With deep neural network based solution more readily being incorporated in real-world applications, it has been pressing requirement that predictions by such models, especially in…
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz +1
We study adapting trained object detectors to unseen domains manifesting significant variations of object appearance, viewpoints and backgrounds. Most current methods align domains…
Localizing Firearm Carriers by Identifying Human-Object Pairs
Abdul Basit, Muhammad Akhtar Munir, Mohsen Ali +1
Visual identification of gunmen in a crowd is a challenging problem, that requires resolving the association of a person with an object (firearm). We present a novel approach to ad…
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization
Javed Iqbal, Muhammad Akhtar Munir, Arif Mahmood +2
Automatic detection of firearms is important for enhancing the security and safety of people, however, it is a challenging task owing to the wide variations in shape, size, and app…