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Hamed Rezazadegan Tavakoli
Hamed Rezazadegan Tavakoli
Department of Computer Science, Aalto University
Email confirmado em aalto.fi - Página inicial
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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
2752013
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
2462011
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
1512020
Paying Attention to Descriptions Generated by Image Captioning Models
HR Tavakoli, R Shetty, A Borji, J Laaksonen
International Conference on Computer Vision, 2017
1012017
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
832017
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
67*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
592021
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
572021
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
542019
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
522019
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
482015
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
442017
Bottom-up fixation prediction using unsupervised hierarchical models
H R. Tavakoli, J Laaksonen
Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017
402017
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
332019
Image and video captioning with augmented neural architectures
R Shetty, HR Tavakoli, J Laaksonen
IEEE MultiMedia 25 (2), 34-46, 2018
322018
Stochastic bottom–up fixation prediction and saccade generation
HR Tavakoli, E Rahtu, J Heikkilä
Image and Vision Computing 31 (9), 686-693, 2013
322013
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
302020
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
302020
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
292023
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
282020
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