7 citations · 14 across the 9 of their papers we have counts for
12 papers
Out of distribution detection for skin and malaria images
Muhammad Zaida, Shafaqat Ali, Mohsen Ali +3
Deep neural networks have shown promising results in disease detection and classification using medical image data. However, they still suffer from the challenges of handling real-…
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…
A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images
Qazi Ammar Arshad, Mohsen Ali, Saeed-ul Hassan +4
Malaria microscopy, microscopic examination of stained blood slides to detect parasite Plasmodium, is considered to be a gold-standard for detecting life-threatening disease malari…
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
M. Naseer Subhani, Mohsen Ali
Self-supervised learning approaches for unsupervised domain adaptation (UDA) of semantic segmentation models suffer from challenges of predicting and selecting reasonable good qual…
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite Imagery
Javed Iqbal, Mohsen Ali
This paper proposes a novel domain adaptation algorithm to handle the challenges posed by the satellite and aerial imagery, and demonstrates its effectiveness on the built-up regio…
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…