What do different evaluation metrics tell us about saliency models? Z Bylinskii, T Judd, A Oliva, A Torralba, F Durand arXiv preprint arXiv:1604.03605, 2016 | 887 | 2016 |
What makes a visualization memorable? MA Borkin, AA Vo, Z Bylinskii, P Isola, S Sunkavalli, A Oliva, H Pfister IEEE transactions on visualization and computer graphics 19 (12), 2306-2315, 2013 | 777 | 2013 |
Beyond Memorability: Visualization Recognition and Recall MA Borkin*, Z Bylinskii*, NW Kim, CM Bainbridge, CS Yeh, D Borkin, ... IEEE transactions on visualization and computer graphics 22 (1), 519-528, 2016 | 391 | 2016 |
Mit saliency benchmark Z Bylinskii, T Judd, A Borji, L Itti, F Durand, A Oliva, A Torralba Retrieved December, 2014 | 376 | 2014 |
Intrinsic and extrinsic effects on image memorability Z Bylinskii, P Isola, C Bainbridge, A Torralba, A Oliva Vision research 116, 165-178, 2015 | 261 | 2015 |
Where should saliency models look next? Z Bylinskii, A Recasens, A Borji, A Oliva, A Torralba, F Durand Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 186 | 2016 |
Learning visual importance for graphic designs and data visualizations Z Bylinskii, NW Kim, P O'Donovan, S Alsheikh, S Madan, H Pfister, ... Proceedings of the 30th Annual ACM symposium on user interface software and …, 2017 | 174 | 2017 |
BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention NW Kim, Z Bylinskii, MA Borkin, KZ Gajos, A Oliva, F Durand, H Pfister ACM Transactions on Computer-Human Interaction (TOCHI) 24 (5), 36, 2017 | 106 | 2017 |
Eye fixation metrics for large scale evaluation and comparison of information visualizations Z Bylinskii, MA Borkin, NW Kim, H Pfister, A Oliva Eye Tracking and Visualization: Foundations, Techniques, and Applications …, 2017 | 93 | 2017 |
Towards the quantitative evaluation of visual attention models Z Bylinskii, EM DeGennaro, R Rajalingham, H Ruda, J Zhang, JK Tsotsos Vision research 116, 258-268, 2015 | 73 | 2015 |
Are all training examples equally valuable? A Lapedriza, H Pirsiavash, Z Bylinskii, A Torralba arXiv preprint arXiv:1311.6510, 2013 | 70 | 2013 |
Predicting visual importance across graphic design types C Fosco, V Casser, AK Bedi, P O'Donovan, A Hertzmann, Z Bylinskii Proceedings of the 33rd Annual ACM Symposium on User Interface Software and …, 2020 | 51 | 2020 |
Mit/tübingen saliency benchmark M Kümmerer, Z Bylinskii, T Judd, A Borji, L Itti, F Durand, A Oliva, ... Tübingen saliency benchmark, 2020 | 49 | 2020 |
Iconate: Automatic compound icon generation and ideation N Zhao, NW Kim, LM Herman, H Pfister, RWH Lau, J Echevarria, ... Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 47 | 2020 |
Leveraging text-chart links to support authoring of data-driven articles with vizflow N Sultanum, F Chevalier, Z Bylinskii, Z Liu Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 42 | 2021 |
Towards individuated reading experiences: Different fonts increase reading speed for different individuals S Wallace, Z Bylinskii, J Dobres, B Kerr, S Berlow, R Treitman, ... ACM Transactions on Computer-Human Interaction (TOCHI) 29 (4), 1-56, 2022 | 41 | 2022 |
Understanding infographics through textual and visual tag prediction Z Bylinskii, S Alsheikh, S Madan, A Recasens, K Zhong, H Pfister, ... arXiv preprint arXiv:1709.09215, 2017 | 41 | 2017 |
How much time do you have? modeling multi-duration saliency C Fosco, A Newman, P Sukhum, YB Zhang, N Zhao, A Oliva, Z Bylinskii Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 39 | 2020 |
A crowdsourced alternative to eye-tracking for visualization understanding NW Kim, Z Bylinskii, MA Borkin, A Oliva, KZ Gajos, H Pfister Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015 | 29 | 2015 |
Synthetically trained icon proposals for parsing and summarizing infographics S Madan, Z Bylinskii, M Tancik, A Recasens, K Zhong, S Alsheikh, ... arXiv preprint arXiv:1807.10441, 2018 | 26 | 2018 |