Search Results for author: Muhammad Umar Karim Khan

Found 7 papers, 2 papers with code

Towards Continual, Online, Unsupervised Depth

2 code implementations28 Feb 2021 Muhammad Umar Karim Khan

The proposed approach is more inline with the artificial general intelligence paradigm as the neural network learns the scene where it is deployed without any supervision (target labels and tasks) and without forgetting about the past.

Structure from Motion

Self-Supervised Representation Learning for Visual Anomaly Detection

no code implementations17 Jun 2020 Rabia Ali, Muhammad Umar Karim Khan, Chong Min Kyung

The best performing image-based self-supervised representation learning method is then used for video anomaly detection to see the importance of spatial features in visual anomaly detection in videos.

Anomaly Detection General Classification +4

Global Feature Aggregation for Accident Anticipation

no code implementations16 Jun 2020 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.

Accident Anticipation Autonomous Vehicles

Plug-and-Play Anomaly Detection with Expectation Maximization Filtering

no code implementations16 Jun 2020 Muhammad Umar Karim Khan, Mishal Fatima, Chong-Min Kyung

With a single epoch of training, our method improves the AUC by 8. 03% compared to the convolutional LSTM-based approach.

Anomaly Detection

Efficient Neural Network Compression

1 code implementation CVPR 2019 Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung

The better accuracy and complexity compromise, as well as the extremely fast speed of our method makes it suitable for neural network compression.

Accuracy Metrics Neural Network Compression

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