Folgen
Zoya Bylinskii (Gavrilov)
Zoya Bylinskii (Gavrilov)
Research Scientist, Adobe
Bestätigte E-Mail-Adresse bei adobe.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
6712016
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
6402013
Mit saliency benchmark
Z Bylinskii, T Judd, A Borji, L Itti, F Durand, A Oliva, A Torralba
Retrieved December, 2014
3602014
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
2942016
Intrinsic and extrinsic effects on image memorability
Z Bylinskii, P Isola, C Bainbridge, A Torralba, A Oliva
Vision research 116, 165-178, 2015
1982015
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
1682016
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
1222017
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
732017
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
712017
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
662015
Are all training examples equally valuable?
A Lapedriza, H Pirsiavash, Z Bylinskii, A Torralba
arXiv preprint arXiv:1311.6510, 2013
572013
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
352017
Mit/tübingen saliency benchmark
M Kümmerer, Z Bylinskii, T Judd, A Borji, L Itti, F Durand, A Oliva, ...
302020
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
242020
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
232020
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
222018
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
212015
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
202021
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
192020
TurkEyes: A web-based toolbox for crowdsourcing attention data
A Newman, B McNamara, C Fosco, YB Zhang, P Sukhum, M Tancik, ...
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
162020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20