Mohsen Fayyaz
Orcid: 0000-0001-5254-3128
According to our database1,
Mohsen Fayyaz
authored at least 40 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
PhD thesis, 2024
CoRR, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Medical Image Anal., August, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
CoRR, 2022
GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CoRR, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
2018
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes.
Comput. Vis. Image Underst., 2018
CoRR, 2018
CoRR, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes.
IEEE Trans. Image Process., 2017
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification.
CoRR, 2017
2016
CoRR, 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures.
CoRR, 2016
STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016
2015
CoRR, 2015