Hamed Rezazadegan Tavakoli

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Esa RahtuAssociate Professor, Tampere University, FinlandVerified email at tuni.fi
Ali BorjiQuintic AIVerified email at usc.edu
Janne HeikkiläProfessor of Computer Science and Engineering, University of OuluVerified email at oulu.fi
Rakshith ShettyAmazonVerified email at amazon.com
Dicky Nauli SihiteResearch Assistant, University of Southern CailforniaVerified email at usc.edu
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Seppo J. LaukkaAdjuct professor, University of Oulu, Learning Research Laboratory (LearnLab)Verified email at oulu.fi
Adham AtyabiAssistant Professor, University of Colorado Colorado SpringsVerified email at uccs.edu
Samia Nefti-MezianiProfessor of Artificial Intelligence and Robotics, University of Salford, ManchesterVerified email at salford.ac.uk
Mohammad-Shahram MoinAssociate Professor, ICT Research Institute (ITRC)Verified email at itrc.ac.ir
Hamidreza PourrezaFerdowsi University of MashhadVerified email at um.ac.ir
Fawad AhmedCRCV(Center for Research in Computer Vision),UCF(University of Central Florida)Verified email at Knights.ucf.edu
Julius WangAalto UniversityVerified email at aalto.fi
Saeed Rahati QuchaniAssociate Professor, Islamic Azad University, Central Tehran branchVerified email at mshdiau.ac.ir
Victoria YanulevskayaDepartment of Information Engineering and Computer Scence, University of Trento, ItalyVerified email at disi.unitn.it
Nicu SebeUniversity of TrentoVerified email at unitn.it
Ali Broumandnia (علی برومندنیا)Assistant Professor of Computer Engineering, Islamic Azad University-South Tehran BranchVerified email at azad.ac.ir
Mohamed SolimanSelf-affiliatedVerified email at 3osman.com
Iman AlikhaniScience @ ŌURAVerified email at oulu.fi
Juha RöningProfessor of Embedded Systems, University of OuluVerified email at oulu.fi

Hamed Rezazadegan Tavakoli

Department of Computer Science, Aalto University

Verified email at aalto.fi - Homepage

Perception Artificial Intelligence Machine Learning Machine Vision Visual Attention


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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	249	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	233	2011
Paying Attention to Descriptions Generated by Image Captioning Models HR Tavakoli, R Shetty, A Borji, J Laaksonen International Conference on Computer Vision, 2017	84	2017
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	76	2020
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	72	2017
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	44	2015
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	40	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	39	2019
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	37	2017
Bottom-up fixation prediction using unsupervised hierarchical models H R. Tavakoli, J Laaksonen Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017	35	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	34*	2020
Stochastic bottom–up fixation prediction and saccade generation HR Tavakoli, E Rahtu, J Heikkilä Image and Vision Computing 31 (9), 686-693, 2013	26	2013
Image and video captioning with augmented neural architectures R Shetty, HR Tavakoli, J Laaksonen IEEE MultiMedia 25 (2), 34-46, 2018	25	2018
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	23	2019
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	21	2020
Local similarity number and its application to object tracking HR Tavakoli, MS Moin, J Heikkila International Journal of Advanced Robotic Systems 10, 2013	20	2013
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	18	2020
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	17	2021
Effects of Moisture Content, Loading Rate, and Grain Orientation on Fracture Resistance of Paddy (Oryza Sativa L.) Grain H Zareiforoush, MH Komarizadeh, MR Alizadeh, H Tavakoli, M Masoumi International Journal of Food Properties 15 (1), 89-98, 2012	16	2012
Study of Gabor and local binary patterns for retinal image analysis HR Tavakoli, HR Pourreza, SR Quchani Third International Workshop on Advanced Computational Intelligence, 527-532, 2010	16	2010

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