3 citations · 4 across the 2 of their papers we have counts for
3 papers
Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
Alireza Sedighi Moghaddam, Mohammad Reza Mohammadi
Labeled data is a fundamental component in training supervised deep learning models for computer vision tasks. However, the labeling process, especially for ordinal image classific…
A Culturally-Aware Benchmark for Person Re-Identification in Modest Attire
Alireza Sedighi Moghaddam, Fatemeh Anvari, Mohammadjavad Mirshekari Haghighi +2
Person Re-Identification (ReID) is a fundamental task in computer vision with critical applications in surveillance and security. Despite progress in recent years, most existing Re…
ProAPT: Projection of APT Threats with Deep Reinforcement Learning
Motahareh Dehghan, Babak Sadeghiyan, Erfan Khosravian +2
The highest level in the Endsley situation awareness model is called projection when the status of elements in the environment in the near future is predicted. In cybersecurity sit…