Hamed Rezazadegan Tavakoli
Hamed Rezazadegan Tavakoli
Department of Computer Science, Aalto University
Verified email at - Homepage
Cited by
Cited by
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
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
Paying Attention to Descriptions Generated by Image Captioning Models
HR Tavakoli, R Shetty, A Borji, J Laaksonen
International Conference on Computer Vision, 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
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
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
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
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
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
Bottom-up fixation prediction using unsupervised hierarchical models
H R. Tavakoli, J Laaksonen
Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 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
Stochastic bottom–up fixation prediction and saccade generation
HR Tavakoli, E Rahtu, J Heikkilä
Image and Vision Computing 31 (9), 686-693, 2013
Image and video captioning with augmented neural architectures
R Shetty, HR Tavakoli, J Laaksonen
IEEE MultiMedia 25 (2), 34-46, 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
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
Local similarity number and its application to object tracking
HR Tavakoli, MS Moin, J Heikkila
International Journal of Advanced Robotic Systems 10, 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
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
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
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
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