Mohsen Fayyaz

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Mohammad SabokrouOISTDirección de correo verificada de oist.jp
Juergen GallUniversity of BonnDirección de correo verificada de iai.uni-bonn.de
Mahmood FathyEmeritus professor computer Engineering, Iran university of science and technologyDirección de correo verificada de iust.ac.ir
Ali DibaKU LeuvenDirección de correo verificada de kuleuven.be
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KUL&ETHDirección de correo verificada de ethz.ch
Vivek SharmaMIT, HarvardDirección de correo verificada de MIT.edu
Reinhard KletteAuckland University of TechnologyDirección de correo verificada de auckland.ac.nz
Ehsan AdeliStanford UniversityDirección de correo verificada de stanford.edu
Mohammad ROUHANIArtificial Intelligence Specialist, AIRBUSDirección de correo verificada de airbus.com
Mehdi NorooziSamsung AI CambridgeDirección de correo verificada de samsung.com
Soroush Abbasi KoohpayeganiPhD Student at University of California, DavisDirección de correo verificada de ucdavis.edu
Manohar PaluriFacebookDirección de correo verificada de fb.com
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyDirección de correo verificada de kit.edu
Hamed PirsiavashAssociate Professor at University of California, DavisDirección de correo verificada de ucdavis.edu
Hamid Reza Vaezi JozeStaff Applied Research Scientist at MetaDirección de correo verificada de fb.com
Farnoush Rezaei-JafariTechnical University of BerlinDirección de correo verificada de campus.tu-berlin.de
Rahim EntezariTU Graz / CSH ViennaDirección de correo verificada de tugraz.at
Yaser SouriMicrosoft TuringDirección de correo verificada de microsoft.com
Gianpiero FrancescaToyota Motor Europe & IRIDIA CoDE, Université Libre de BruxellesDirección de correo verificada de toyota-europe.com
Nadine BehrmannApplied Scientist at AmazonDirección de correo verificada de amazon.de

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Mohsen Fayyaz

Microsoft

Dirección de correo verificada de microsoft.com - Página principal

Machine Learning Deep Learning Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes M Sabokrou, M Fayyaz, M Fathy, Z Moayed, R Klette Computer Vision and Image Understanding, 2018	432	2018
Deep-cascade: Cascading 3d deep neural networks for fast anomaly detection and localization in crowded scenes M Sabokrou, M Fayyaz, M Fathy, R Klette IEEE Transactions on Image Processing 26 (4), 1992-2004, 2017	347	2017
Temporal 3d convnets: New architecture and transfer learning for video classification A Diba, M Fayyaz, V Sharma, AH Karami, MM Arzani, R Yousefzadeh, ... arXiv preprint arXiv:1711.08200, 2017	268	2017
Spatio-temporal channel correlation networks for action classification A Diba, M Fayyaz, V Sharma, M Mahdi Arzani, R Yousefzadeh, J Gall, ... Proceedings of the European Conference on Computer Vision (ECCV), 284-299, 2018	186	2018
Lets keep it simple, using simple architectures to outperform deeper and more complex architectures SH Hasanpour, M Rouhani, M Fayyaz, M Sabokrou arXiv preprint arXiv:1608.06037, 2016	111	2016
AVID: Adversarial Visual Irregularity Detection M Sabokrou, M Pourreza, M Fayyaz*, R Entezari, M Fathy, J Gall, ... Asian Conference on Computer Vision, 488-505, 2018	104	2018
Large Scale Holistic Video Understanding A Diba, M Fayyaz, V Sharma*, M Paluri, J Gall, R Stiefelhagen, ... European Conference on Computer Vision, 593-610, 2020	99*	2020
STFCN: spatio-temporal FCN for semantic video segmentation M Fayyaz, MH Saffar, M Sabokrou, M Fathy, R Klette, F Huang arXiv preprint arXiv:1608.05971, 2016	70	2016
Sct: Set constrained temporal transformer for set supervised action segmentation M Fayyaz, J Gall Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	51	2020
Towards principled design of deep convolutional networks: Introducing simpnet SH HasanPour, M Rouhani, M Fayyaz, M Sabokrou, E Adeli arXiv preprint arXiv:1802.06205, 2018	45	2018
Fast weakly supervised action segmentation using mutual consistency Y Souri, M Fayyaz, L Minciullo, G Francesca, J Gall IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	41	2021
Adaptive token sampling for efficient vision transformers M Fayyaz, SA Koohpayegani, FR Jafari, S Sengupta, HRV Joze, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022	38*	2022
Temporal 3d convnets using temporal transition layer A Diba, M Fayyaz, V Sharma, A Hossein Karami, M Mahdi Arzani, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	37	2018
STFCN: spatio-temporal fully convolutional neural network for semantic segmentation of street scenes M Fayyaz, MH Saffar, M Sabokrou, M Fathy, F Huang, R Klette Asian Conference on Computer Vision, 493-509, 2016	33	2016
Long short view feature decomposition via contrastive video representation learning N Behrmann, M Fayyaz, J Gall, M Noroozi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	26	2021
Online signature verification based on feature representation M Fayyaz, MH Saffar, M Sabokrou, M Hoseini, M Fathy 2015 the international symposium on artificial intelligence and signal …, 2015	25	2015
Online signature verification using deep representation: a new descriptor MH Saffar, M Fayyaz, M Sabokrou, M Fathy arXiv preprint arXiv:1806.09986, 2018	23*	2018
Diffusion models for medical image analysis: A comprehensive survey A Kazerouni, EK Aghdam, M Heidari, R Azad, M Fayyaz, I Hacihaliloglu, ... arXiv preprint arXiv:2211.07804, 2022	21	2022
3D CNNs with Adaptive Temporal Feature Resolutions M Fayyaz, E Bahrami, A Diba, M Noroozi, E Adeli, L Van Gool, J Gall Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	17	2021
A novel approach for finger vein verification based on self-taught learning M Fayyaz, M Hajizadeh-Saffar, M Sabokrou, M Hoseini, M Fathy 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), 88-91, 2015	17	2015

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