Hamed Rezazadegan Tavakoli

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Esa RahtuProfessor, Tampere University, FinlandAdresse e-mail validée de tuni.fi
Ali BorjiUnknown affiliationAdresse e-mail validée de usc.edu
Janne HeikkiläProfessor of Computer Science and Engineering, University of OuluAdresse e-mail validée de oulu.fi
Rakshith ShettyAmazonAdresse e-mail validée de amazon.com
Dicky Nauli SihiteResearch Assistant, University of Southern CailforniaAdresse e-mail validée de usc.edu
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaAdresse e-mail validée de usc.edu
Seppo J. LaukkaAdjuct professor, University of Oulu, Learning Research Laboratory (LearnLab)Adresse e-mail validée de oulu.fi
Adham AtyabiAssociate Professor, University of Colorado Colorado SpringsAdresse e-mail validée de uccs.edu
Mohammad-Shahram MoinAssociate Professor, ICT Research Institute (ITRC)Adresse e-mail validée de itrc.ac.ir
Hamidreza PourrezaFerdowsi University of MashhadAdresse e-mail validée de um.ac.ir
Fawad AhmedCRCV(Center for Research in Computer Vision),UCF(University of Central Florida)Adresse e-mail validée de Knights.ucf.edu
Julius WangAalto UniversityAdresse e-mail validée de aalto.fi
Saeed Rahati QuchaniAssociate Professor, Islamic Azad University, Central Tehran branchAdresse e-mail validée de iau.ac.ir
Victoria YanulevskayaDepartment of Information Engineering and Computer Scence, University of Trento, ItalyAdresse e-mail validée de disi.unitn.it
Ali Broumandnia (علی برومندنیا)Associate Professor of Computer Engineering, South Tehran Branch,Islamic Azad UniversityAdresse e-mail validée de iau.ac.ir
Nicu SebeUniversity of TrentoAdresse e-mail validée de unitn.it
Mohamed SolimanSelf-affiliatedAdresse e-mail validée de 3osman.com
Iman AlikhaniScience @ ŌURAAdresse e-mail validée de oulu.fi
Juha RöningProfessor of Embedded Systems, University of OuluAdresse e-mail validée de oulu.fi
Hanieh PoostchiUniversity of Sydney (USYD)Adresse e-mail validée de sydney.edu.au

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Hamed Rezazadegan Tavakoli

Department of Computer Science, Aalto University

Adresse e-mail validée de aalto.fi - Page d'accueil

Perception Artificial Intelligence Machine Learning Machine Vision Visual Attention


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Analysis of scores, datasets, and models in visual saliency prediction A Borji, HR Tavakoli, DN Sihite, L Itti Proceedings of the IEEE international conference on computer vision, 921-928, 2013	271	2013
Fast and efficient saliency detection using sparse sampling and kernel density estimation H Rezazadegan Tavakoli, E Rahtu, J Heikkilä Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011	248	2011
Image captioning through image transformer S He, W Liao, HR Tavakoli, M Yang, B Rosenhahn, N Pugeault Proceedings of the Asian conference on computer vision, 2020	145	2020
Paying Attention to Descriptions Generated by Image Captioning Models HR Tavakoli, R Shetty, A Borji, J Laaksonen International Conference on Computer Vision, 2017	99	2017
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features HR Tavakoli, A Borji, J Laaksonen, E Rahtu Neurocomputing 244, 10-18, 2017	83	2017
Deep audio-visual saliency: Baseline model and data HR Tavakoli, A Borji, J Kannala, E Rahtu ACM Symposium on Eye Tracking Research and Applications, 1-5, 2020	68*	2020
Overview of the neural network compression and representation (NNR) standard H Kirchhoffer, P Haase, W Samek, K Müller, H Rezazadegan-Tavakoli, ... IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 3203-3216, 2021	59	2021
Learned image coding for machines: A content-adaptive approach N Le, H Zhang, F Cricri, R Ghaznavi-Youvalari, HR Tavakoli, E Rahtu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021	56	2021
Human attention in image captioning: Dataset and analysis S He, HR Tavakoli, A Borji, N Pugeault Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	56	2019
Understanding and visualizing deep visual saliency models S He, HR Tavakoli, A Borji, Y Mi, N Pugeault Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	52	2019
Predicting the valence of a scene from observers’ eye movements H R.-Tavakoli, A Atyabi, A Rantanen, SJ Laukka, S Nefti-Meziani, ... PloS one 10 (9), e0138198, 2015	48	2015
Saliency revisited: Analysis of mouse movements versus fixations HR Tavakoli, F Ahmed, A Borji, J Laaksonen Proceedings of the ieee conference on computer vision and pattern …, 2017	44	2017
Bottom-up fixation prediction using unsupervised hierarchical models H R. Tavakoli, J Laaksonen Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017	40	2017
Digging deeper into egocentric gaze prediction HR Tavakoli, E Rahtu, J Kannala, A Borji 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 273-282, 2019	34	2019
Image and video captioning with augmented neural architectures R Shetty, HR Tavakoli, J Laaksonen IEEE MultiMedia 25 (2), 34-46, 2018	32	2018
Stochastic bottom–up fixation prediction and saccade generation HR Tavakoli, E Rahtu, J Heikkilä Image and Vision Computing 31 (9), 686-693, 2013	32	2013
L²C – Learning to Learn to Compress N Zou, H Zhang, F Cricri, HR Tavakoli, J Lainema, M Hannuksela, E Aksu, ... 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020	30	2020
Understanding visual saliency in mobile user interfaces LA Leiva, Y Xue, A Bansal, HR Tavakoli, T Köroðlu, J Du, NR Dayama, ... 22nd International conference on human-computer interaction with mobile …, 2020	29	2020
Lossless image compression using a multi-scale progressive statistical model H Zhang, F Cricri, HR Tavakoli, N Zou, E Aksu, MM Hannuksela Proceedings of the Asian Conference on Computer Vision, 2020	27	2020
UEyes: Understanding visual saliency across user interface types Y Jiang, LA Leiva, H Rezazadegan Tavakoli, P RB Houssel, J Kylmälä, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023	26	2023

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