Hamed Rezazadegan Tavakoli
Hamed Rezazadegan Tavakoli
Department of Computer Science, Aalto University
Verified email at aalto.fi - Homepage
Title
Cited by
Cited by
Year
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
1842013
Fast and efficient saliency detection using sparse sampling and kernel density estimation
HR Tavakoli, E Rahtu, J Heikkilä
Scandinavian conference on image analysis, 666-675, 2011
1842011
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
502017
Paying Attention to Descriptions Generated by Image Captioning Models
HR Tavakoli, R Shetty, A Borji, J Laaksonen
International Conference on Computer Vision, 2017
402017
Predicting the valence of a scene from observers’ eye movements
HR Tavakoli, A Atyabi, A Rantanen, SJ Laukka, S Nefti-Meziani, J Heikki
PloS one 10 (9), e0138198, 2015
342015
Bottom-up fixation prediction using unsupervised hierarchical models
HR Tavakoli, J Laaksonen
Asian Conference on Computer Vision, 287-302, 2016
282016
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
242017
Stochastic bottom–up fixation prediction and saccade generation
HR Tavakoli, E Rahtu, J Heikkilä
Image and Vision Computing 31 (9), 686-693, 2013
182013
Local similarity number and its application to object tracking
HR Tavakoli, MS Moin, J Heikkila
International Journal of Advanced Robotic Systems 10, 2013
182013
Predicting the Valence of a Scene from Observers' Eye Movements
R Hamed, A Atyabi, A Rantanen, SJ Laukka, S Nefti-Meziani, J Heikkilä
PloS one 10 (10), e0141174, 2015
14*2015
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
142010
Understanding and visualizing deep visual saliency models
S He, HR Tavakoli, A Borji, Y Mi, N Pugeault
Proceedings of the ieee conference on computer vision and pattern …, 2019
132019
Image and video captioning with augmented neural architectures
R Shetty, HR Tavakoli, J Laaksonen
IEEE MultiMedia 25 (2), 34-46, 2018
122018
Human Attention in Image Captioning: Dataset and Analysis
S He, HR Tavakoli, A Borji, N Pugeault
Proceedings of the IEEE International Conference on Computer Vision, 8529-8538, 2019
102019
Mean-shift video tracking using color-LSN histogram
HR Tavakoli, MS Moin
2010 5th International Symposium on Telecommunications, 812-816, 2010
102010
Temporal saliency for fast motion detection
HR Tavakoli, E Rahtu, J Heikkilä
Asian Conference on Computer Vision, 321-326, 2012
92012
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
72019
Fixation prediction in videos using unsupervised hierarchical features
J Wang, HR Tavakoli, J Laaksonen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
72017
Geometric image correspondence verification by dense pixel matching
Z Laskar, I Melekhov, HR Tavakoli, J Ylioinas, J Kannala
The IEEE Winter Conference on Applications of Computer Vision, 2521-2530, 2020
62020
DAVE: A deep audio-visual embedding for dynamic saliency prediction
HR Tavakoli, A Borji, E Rahtu, J Kannala
arXiv preprint arXiv:1905.10693, 2019
52019
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