4 citations · 12 across the 6 of their papers we have counts for
5 papers · 1 filter
Increased-Range Unsupervised Monocular Depth Estimation
Saad Imran, Muhammad Umar Karim Khan, Sikander Bin Mukarram +1
Unsupervised deep learning methods have shown promising performance for single-image depth estimation. Since most of these methods use binocular stereo pairs for self-supervision,…
Self-Supervised Representation Learning for Visual Anomaly Detection
Rabia Ali, Muhammad Umar Karim Khan, Chong Min Kyung
Self-supervised learning allows for better utilization of unlabelled data. The feature representation obtained by self-supervision can be used in downstream tasks such as classific…
Fine-Tuning DARTS for Image Classification
Muhammad Suhaib Tanveer, Muhammad Umar Karim Khan, Chong-Min Kyung
Neural Architecture Search (NAS) has gained attraction due to superior classification performance. Differential Architecture Search (DARTS) is a computationally light method. To li…
Global Feature Aggregation for Accident Anticipation
Mishal Fatima, Muhammad Umar Karim Khan, Chong Min Kyung
Anticipation of accidents ahead of time in autonomous and non-autonomous vehicles aids in accident avoidance. In order to recognize abnormal events such as traffic accidents in a v…
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering
Muhammad Umar Karim Khan, Mishal Fatima, Chong-Min Kyung
Anomaly detection in crowds enables early rescue response. A plug-and-play smart camera for crowd surveillance has numerous constraints different from typical anomaly detection: th…