Feature Representation for Online Signature Verification. - Mohsen Fayyaz; Mohammad Hajizadeh Saffar; Mohammad Sabokrou; Mahmood Fathy (CoRR, 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)

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 (ACCV Workshops (1), 2016)

STFCN: Spatio-Temporal FCN for Semantic Video Segmentation. - Mohsen Fayyaz; Mohammad Hajizadeh Saffar; Mohammad Sabokrou; 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)

Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes. - Mohammad Sabokrou; Mohsen Fayyaz; Mahmood Fathy; Reinhard Klette (CoRR, 2016)

Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Amir Hossein Karami; Mohammad Mahdi Arzani; Rahman Yousefzadeh; Luc Van Gool (CoRR, 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)

AVID: Adversarial Visual Irregularity Detection. - Mohammad Sabokrou; Masoud PourReza; Mohsen Fayyaz; Rahim Entezari; Mahmood Fathy; Jürgen Gall; Ehsan Adeli 001 (ACCV (6), 2018)

Temporal 3D ConvNets Using Temporal Transition Layer. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Amir Hossein Karami; Mohammad Mahdi Arzani; Rahman Yousefzadeh; Luc Van Gool (CVPR Workshops, 2018)

Spatio-temporal Channel Correlation Networks for Action Classification. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Mohammad Mahdi Arzani; Rahman Yousefzadeh; Juergen Gall; Luc Van Gool (ECCV (4), 2018)

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. - Seyyed Hossein HasanPour; Mohammad Rouhani; Mohsen Fayyaz; Mohammad Sabokrou; Ehsan Adeli 001 (CoRR, 2018)

Semantic Video Segmentation: A Review on Recent Approaches. - Mohammad Hajizadeh Saffar; Mohsen Fayyaz; Mohammad Sabokrou; Mahmood Fathy (CoRR, 2018)

Online Signature Verification using Deep Representation: A new Descriptor. - Mohammad Hajizadeh Saffar; Mohsen Fayyaz; Mohammad Sabokrou; Mahmood Fathy (CoRR, 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)

Weakly Supervised Action Segmentation Using Mutual Consistency. - Yaser Souri; Mohsen Fayyaz; Juergen Gall (CoRR, 2019)

Holistic Large Scale Video Understanding. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Manohar Paluri; Jürgen Gall; Rainer Stiefelhagen; Luc Van Gool (CoRR, 2019)

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. - Mohsen Fayyaz; Jürgen Gall (CVPR, 2020)

Large Scale Holistic Video Understanding. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Manohar Paluri; Jürgen Gall; Rainer Stiefelhagen; Luc Van Gool (ECCV (5), 2020)

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 (BlackboxNLP@EMNLP, 2021)

3D CNNs With Adaptive Temporal Feature Resolutions. - Mohsen Fayyaz; Emad Bahrami Rad; Ali Diba; Mehdi Noroozi; Ehsan Adeli 001; Luc Van Gool; Jürgen Gall (CVPR, 2021)

Long Short View Feature Decomposition via Contrastive Video Representation Learning. - Nadine Behrmann; Mohsen Fayyaz; Juergen Gall; Mehdi Noroozi (ICCV, 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)

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)

Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages. - Ehsan Aghazadeh; Mohsen Fayyaz; Yadollah Yaghoobzadeh (ACL (1), 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 (BMVC, 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 (ECCV (11), 2022)

GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers. - Ali Modarressi; Mohsen Fayyaz; Yadollah Yaghoobzadeh; Mohammad Taher Pilehvar (NAACL-HLT, 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)

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)

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)

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition. - Ali Modarressi; Mohsen Fayyaz; Ehsan Aghazadeh; Yadollah Yaghoobzadeh; Mohammad Taher Pilehvar (ACL (1), 2023)

RET-LLM: Towards a General Read-Write Memory for Large Language Models. - Ali Modarressi; Ayyoob Imani; Mohsen Fayyaz; Hinrich Schütze (CoRR, 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., 2023)

SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers. - Faridoun Mehri; Mohsen Fayyaz; Mahdieh Soleymani Baghshah; Mohammad Taher Pilehvar (CVPR Workshops, 2024)

Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding. - Niloofar Azizi; Mohsen Fayyaz; Horst Bischof (ECCV (13), 2024)

MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory. - Ali Modarressi; Abdullatif Köksal; Ayyoob Imani; Mohsen Fayyaz; Hinrich Schütze (CoRR, 2024)

Evaluating Human Alignment and Model Faithfulness of LLM Rationale. - Mohsen Fayyaz; Fan Yin; Jiao Sun; Nanyun Peng 001 (CoRR, 2024)

Holistic Video Understanding: Spatio-Temporal Modeling and Efficiency. - Mohsen Fayyaz (2024)

Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence. - Mohsen Fayyaz; Ali Modarressi; Hinrich Schütze; Nanyun Peng 001 (ACL (1), 2025)

MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. - Wenbo Hu 006; Jia-Chen Gu; Zi-Yi Dou; Mohsen Fayyaz; Pan Lu; Kai-Wei Chang; Nanyun Peng 001 (ICLR, 2025)

MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory. - Ali Modarressi; Abdullatif Köksal; Ayyoob Imani; Mohsen Fayyaz; Hinrich Schütze (Trans. Mach. Learn. Res., 2025)

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights. - Liana Mikaelyan; Ayyoob Imani; Mathew Salvaris; Parth Pathak; Mohsen Fayyaz (CoRR, 2025)

Polymorph: Energy-Efficient Multi-Label Classification for Video Streams on Embedded Devices. - Saeid Ghafouri; Mohsen Fayyaz; Xiangchen Li; Deepu John; Bo Ji 001; Dimitrios S. Nikolopoulos; Hans Vandierendonck (CoRR, 2025)