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ORCIDMohsen Fayyaz
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2020 – today
- 2024
[b1]Mohsen Fayyaz:
Holistic Video Understanding: Spatio-Temporal Modeling and Efficiency. Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany, 2024- [c16]Faridoun Mehri, Mohsen Fayyaz, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar:
SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers. CVPR Workshops 2024: 204-215 - [c15]Niloofar Azizi, Mohsen Fayyaz, Horst Bischof:
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding. ECCV (13) 2024: 441-458 - [i29]Ali Modarressi, Abdullatif Köksal, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schütze:
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory. CoRR abs/2404.11672 (2024) - [i28]Niloofar Azizi, Mohsen Fayyaz, Horst Bischof:
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding. CoRR abs/2405.17397 (2024) - [i27]Mohsen Fayyaz, Fan Yin, Jiao Sun, Nanyun Peng:
Evaluating Human Alignment and Model Faithfulness of LLM Rationale. CoRR abs/2407.00219 (2024) - [i26]Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng:
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. CoRR abs/2410.08182 (2024) - 2023
- [j4]Amirhossein Kazerouni
, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof:
Diffusion models in medical imaging: A comprehensive survey. Medical Image Anal. 88: 102846 (2023) - [c14]Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition. ACL (1) 2023: 2649-2664 - [i25]Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schütze:
RET-LLM: Towards a General Read-Write Memory for Large Language Models. CoRR abs/2305.14322 (2023) - [i24]Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition. CoRR abs/2306.02873 (2023) - 2022
- [j3]Yaser Souri, Mohsen Fayyaz, Luca Minciullo, Gianpiero Francesca, Juergen Gall:
Fast Weakly Supervised Action Segmentation Using Mutual Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6196-6208 (2022) - [c13]Ehsan Aghazadeh, Mohsen Fayyaz, Yadollah Yaghoobzadeh:
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages. ACL (1) 2022: 2037-2050 - [c12]Mohammad Saber Pourheydari, Emad Bahrami Rad, Mohsen Fayyaz, Gianpiero Francesca, Mehdi Noroozi, Jürgen Gall:
TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction. BMVC 2022: 389 - [c11]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall:
Adaptive Token Sampling for Efficient Vision Transformers. ECCV (11) 2022: 396-414 - [c10]Ali Modarressi, Mohsen Fayyaz, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers. NAACL-HLT 2022: 258-271 - [i23]Ehsan Aghazadeh, Mohsen Fayyaz, Yadollah Yaghoobzadeh:
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages. CoRR abs/2203.14139 (2022) - [i22]Ali Modarressi, Mohsen Fayyaz, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers. CoRR abs/2205.03286 (2022) - [i21]Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Mohammad Taher Pilehvar, Yadollah Yaghoobzadeh, Samira Ebrahimi Kahou:
BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning. CoRR abs/2211.05610 (2022) - [i20]Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof:
Diffusion Models for Medical Image Analysis: A Comprehensive Survey. CoRR abs/2211.07804 (2022) - 2021
- [c9]Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations. BlackboxNLP@EMNLP 2021: 375-388 - [c8]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall:
3D CNNs With Adaptive Temporal Feature Resolutions. CVPR 2021: 4731-4740 - [c7]Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi:
Long Short View Feature Decomposition via Contrastive Video Representation Learning. ICCV 2021: 9224-9233 - [i19]Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations. CoRR abs/2109.05958 (2021) - [i18]Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi:
Long Short View Feature Decomposition via Contrastive Video Representation Learning. CoRR abs/2109.11593 (2021) - [i17]Mohammad Saber Pourheydari, Mohsen Fayyaz, Emad Bahrami Rad, Mehdi Noroozi, Juergen Gall:
Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction. CoRR abs/2110.14392 (2021) - [i16]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall:
ATS: Adaptive Token Sampling For Efficient Vision Transformers. CoRR abs/2111.15667 (2021) - 2020
- [c6]Mohsen Fayyaz, Jürgen Gall:
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. CVPR 2020: 498-507 - [c5]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Large Scale Holistic Video Understanding. ECCV (5) 2020: 593-610 - [i15]Mohsen Fayyaz, Juergen Gall:
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. CoRR abs/2003.14266 (2020) - [i14]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall:
3D CNNs with Adaptive Temporal Feature Resolutions. CoRR abs/2011.08652 (2020)
2010 – 2019
- 2019
- [i13]Yaser Souri, Mohsen Fayyaz, Juergen Gall:
Weakly Supervised Action Segmentation Using Mutual Consistency. CoRR abs/1904.03116 (2019) - [i12]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Holistic Large Scale Video Understanding. CoRR abs/1904.11451 (2019) - 2018
- [j2]Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Zahra Moayed, Reinhard Klette:
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes. Comput. Vis. Image Underst. 172: 88-97 (2018) - [c4]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. ACCV (6) 2018: 488-505 - [c3]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool:
Temporal 3D ConvNets Using Temporal Transition Layer. CVPR Workshops 2018: 1117-1121 - [c2]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-temporal Channel Correlation Networks for Action Classification. ECCV (4) 2018: 299-315 - [i11]Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli:
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. CoRR abs/1802.06205 (2018) - [i10]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. CoRR abs/1805.09521 (2018) - [i9]Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy:
Semantic Video Segmentation: A Review on Recent Approaches. CoRR abs/1806.06172 (2018) - [i8]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-Temporal Channel Correlation Networks for Action Classification. CoRR abs/1806.07754 (2018) - [i7]Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy:
Online Signature Verification using Deep Representation: A new Descriptor. CoRR abs/1806.09986 (2018) - 2017
- [j1]Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette:
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes. IEEE Trans. Image Process. 26(4): 1992-2004 (2017) - [i6]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool:
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. CoRR abs/1711.08200 (2017) - 2016
- [c1]Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy, Fay Huang, Reinhard Klette:
STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes. ACCV Workshops (1) 2016: 493-509 - [i5]Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy, Reinhard Klette:
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation. CoRR abs/1608.05971 (2016) - [i4]Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou:
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures. CoRR abs/1608.06037 (2016) - [i3]Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette:
Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes. CoRR abs/1609.00866 (2016) - 2015
- [i2]Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy:
Feature Representation for Online Signature Verification. CoRR abs/1505.08153 (2015) - [i1]Mohsen Fayyaz, Masoud PourReza, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy:
A Novel Approach For Finger Vein Verification Based on Self-Taught Learning. CoRR abs/1508.03710 (2015)
Coauthor Index
aka: Jürgen Gall
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last updated on 2024-12-16 22:26 CET by the dblp team
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