| 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 |
| 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 | 27 | 2023 |
| 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 |
Esa RahtuProfessor, Tampere University, Finland在 tuni.fi 的电子邮件经过验证
