Mohsen Fayyaz

According to our database, Mohsen Fayyaz authored at least 34 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Diffusion models in medical imaging: A comprehensive survey.

Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof

Medical Image Anal., August, 2023

RET-LLM: Towards a General Read-Write Memory for Large Language Models.

Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schütze

CoRR, 2023

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition.

Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Fast Weakly Supervised Action Segmentation Using Mutual Consistency.

Yaser Souri, Mohsen Fayyaz, Luca Minciullo, Gianpiero Francesca, Juergen Gall

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Diffusion Models for Medical Image Analysis: A Comprehensive Survey.

Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof

CoRR, 2022

BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning.

Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Mohammad Taher Pilehvar, Yadollah Yaghoobzadeh, Samira Ebrahimi Kahou

CoRR, 2022

GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers.

Ali Modarressi, Mohsen Fayyaz, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Adaptive Token Sampling for Efficient Vision Transformers.

Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall

Proceedings of the Computer Vision - ECCV 2022, 2022

TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction.

Mohammad Saber Pourheydari, Emad Bahrami Rad, Mohsen Fayyaz, Gianpiero Francesca, Mehdi Noroozi, Jürgen Gall

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages.

Ehsan Aghazadeh, Mohsen Fayyaz, Yadollah Yaghoobzadeh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

ATS: Adaptive Token Sampling For Efficient Vision Transformers.

Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall

CoRR, 2021

Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction.

Mohammad Saber Pourheydari, Mohsen Fayyaz, Emad Bahrami Rad, Mehdi Noroozi, Juergen Gall

CoRR, 2021

Long Short View Feature Decomposition via Contrastive Video Representation Learning.

Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D CNNs With Adaptive Temporal Feature Resolutions.

Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall

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.

Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

Large Scale Holistic Video Understanding.

Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation.

Mohsen Fayyaz, Jürgen Gall

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Holistic Large Scale Video Understanding.

Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool

CoRR, 2019

Weakly Supervised Action Segmentation Using Mutual Consistency.

Yaser Souri, Mohsen Fayyaz, Juergen Gall

CoRR, 2019

2018

Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes.

Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Zahra Moayed, Reinhard Klette

Comput. Vis. Image Underst., 2018

Online Signature Verification using Deep Representation: A new Descriptor.

Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy

CoRR, 2018

Semantic Video Segmentation: A Review on Recent Approaches.

Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy

CoRR, 2018

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet.

Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli

CoRR, 2018

Spatio-temporal Channel Correlation Networks for Action Classification.

Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2018, 2018

Temporal 3D ConvNets Using Temporal Transition Layer.

Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

AVID: Adversarial Visual Irregularity Detection.

Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli

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.

Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette

IEEE Trans. Image Process., 2017

Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification.

Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool

CoRR, 2017

2016

Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes.

Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette

CoRR, 2016

Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures.

Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou

CoRR, 2016

STFCN: Spatio-Temporal FCN for Semantic Video Segmentation.

Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy, Reinhard Klette

CoRR, 2016

STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes.

Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy, Fay Huang, Reinhard Klette

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

A Novel Approach For Finger Vein Verification Based on Self-Taught Learning.

Mohsen Fayyaz, Masoud PourReza, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy

CoRR, 2015

Feature Representation for Online Signature Verification.

Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy

CoRR, 2015