1 code implementation • 3 Jun 2024 • Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi
To address enhancing representation, we propose an augmented commonsense knowledge model (ACK) to leverage commonsense information as a spatio-temporal knowledge graph for improving agent navigation.
no code implementations • 29 Mar 2021 • Bahram Mohammadi, Mohammad Sabokrou
Learning new knowledge in the absence of data instances from previous classes or even imbalance samples of both old and new classes makes CIL an ongoing challenging problem.
no code implementations • 2 Mar 2021 • Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou
AD strongly correlates with the important computer vision and image processing tasks such as image/video anomaly, irregularity and sudden event detection.
no code implementations • 20 Jun 2020 • Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou
Previous researches solve this problem as a One-Class Classification (OCC) task where they train a reference model on all of the available samples.
no code implementations • 8 Nov 2019 • Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou
These detectors are two encoder-decoder neural networks that are forced to provide a compressed and a sparse representation from the normal flows.
no code implementations • 25 Apr 2019 • Bahram Mohammadi, Mohammad Sabokrou
Inspired by the successes of Generative Adversarial Networks (GANs) for training deep models in semi-unsupervised setting, we have proposed an end-to-end deep architecture for IDS.