Zoya Bylinskii's page

Zoya Bylinskii
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Research Scientist @ Adobe

Zoya Bylinskii, Ph.D., is a Research Scientist in the Creative Intelligence Lab at Adobe Research as of 2018, and an affiliate at the Massachusetts Institute of Technology. Previously, Zoya was affiliated with the Harvard Institute of Applied Computational Science, where she advised masters theses (2019-2020). Zoya received her Computer Science Ph.D. and M.Sc. from MIT in 2018 and 2015, respectively, and an Hon. B.Sc. in Computer Science and Statistics, with a focus on Artificial Intelligence, from the University of Toronto in 2012. Zoya is a 2018 EECS Rising Star, 2016 Adobe Research Fellow, 2014-2016 NSERC Postgraduate Scholar, 2013 Julie Payette Research Scholar, and 2011 Anita Borg Scholar. Zoya works at the interface of human perception & cognition, computer vision, and human-computer interaction.

My MIT page contains my research and activities prior to 2018.

Talks


June 25, 2021: Invited talk at Chart Question Answering Workshop at CVPR 2021 on "Computational Visualization Understanding" (recording).

June 10, 2021: Keynote talk at CMCL 2021 on "The Importance of Individualized Text Formats for Readability".

April 29, 2021: Talk at the Florida Literacy Conference on "Readability Research: An Interdisciplinary Approach" (blog post by Readability Matters).

April 26, 2021: Talk at the Columbia School of Journalism on "Perception and Cognition Insights for Designing Effective Visualizations" (blog post by Mario Garcia).

February 23, 2021: Keynote talk at EU HumaneAI on "Computational Memorability: A Survey" (recording).

February 19, 2021: Interview with MITxHarvard Women in AI (recording).

January 22, 2021: Course seminar at MIT on "Using AI in the service of Graphic Design" (recording).

May 23, 2019: Invited talk at Re-Work Deep Learning Summit on "Predicting What Drives Human Attention in Photographs, Visualizations, and Graphic Designs" (recording).

May 14, 2019: Invited talk at Attention workshop as part of The Web Conference on "Crowdsourcing Attention for Graphic Designs".

April 14, 2019: Invited talk at the New England Symposium on Graphics at MIT on “How interfaces for capturing human attention can help us debug graphic designs”.

October 29, 2018: Harvard IACS invited seminar on "Computational Perceptions with Applications to Graphic Design" (recording).

Activities


April-June, 2021: Area Chair for UIST 2021.

May 14, 2021: Co-organized EMICS (Eye Movements as an Interface to Cognitive State) workshop at CHI'21.

Dec-Feb, 2020: Area Chair for CVPR 2021.

April-June, 2020: Area Chair for UIST 2020.

April-July, 2020: Area Chair for IEEE VIS 2020.

Invited reviewer: ECCV, CVPR, ICCV, CHI, UIST, InfoVis, TVCG, TOG, CSCW, Perception, MobileCHI, TOCHI, Eurographics, Cognition, SIGGRAPH, Computer Vision and Image Understanding, IEEE Virtual Reality, International Journal of Computer Vision, Vision Research, Pattern Recognition Letters, Journal of Vision, Eurovision, IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Computational Imaging, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Multimedia, IEEE Trans. on Circuits and Systems for Video Technology

Service at Adobe:

I kick-started and run Adobe’s Perception & Cognitive A.I. Seminar Series, to bring more interdisciplinary perspectives and insights from psychology, neuroscience, and cognitive science into the industry.

I serve on the Patent Review Committee and Intern Programs Committee.

News & Blogs



May 4, 2021: FastCompany recognizes our Adobe Readability initiative as a finalist in both the Education and Software categories for the World Changing Ideas Awards 2021.

Adobe Readability finalist in Education and Software

April 30, 2021: "Fascinating study shows how we perceive visualizations": A Garcia Media blog post about my seminar.

Fascinating study shows how we perceive visualizations

March 20, 2021: "A Collaborative Interdisciplinary Readability Research Approach": A Readability Matters blog post about our research community.

A Collaborative Interdisciplinary Readability Research Approach

March 3, 2020: "Readability Features & Technology for Better Reading": Our blog post @ World Education about our readability research.

worldEd-blog

January 23, 2020: "What eye tracking can tell you about visualizations (and other images)": An invited blog post as part of the "Multive Views" series.

MV-blog

January 13, 2020: "Look Here: Researcher Predicts What Attracts Attention in Photos and Designs": An Adobe Research blog post about my visual attention research work at Adobe.

Look Here: Researcher Predicts What Attracts Attention in Photos and Designs

October 20, 2020: Impact of our Readability research on Adobe Document Cloud: Adobe and Partners Enhance Reading Experiences

Impact of our Readability research on Adobe Document Cloud

Research Projects



Readability Research: An Interdisciplinary Approach
Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii, Tianyuan Cai, Jenae Cohn, Kathy Crowley, Stephanie L. Day, Tilman Dingler, Jonathan Dobres, Jennifer Healey, Rajiv Jain, Marjorie Jordan, Bernard Kerr, Qisheng Li, Dave B. Miller, Susanne Nobles, Alexandra Papoutsaki, Jing Qian, Tina Rezvanian, Shelley Rodrigo, Ben D. Sawyer, Shannon M. Sheppard, Bram Stein, Rick Treitman, Jen Vanek, Shaun Wallace, Benjamin Wolfe
(under Review)

PDF Bibtex

@article{beier2021readability,
  title={Readability Research: An Interdisciplinary Approach},
  author={Beier, Sofie and Berlow, Sam and Boucaud, Esat and Bylinskii, Zoya and Cai, Tianyuan and Cohn, Jenae and Crowley, Kathy and Day, Stephanie L and Dingler, Tilman and Dobres, Jonathan and others},
  journal={arXiv preprint arXiv:2107.09615},
  year={2021}
}
              


Readability Research: An Interdisciplinary Approach

Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow
Nicole Sultanum, Fanny Chevalier, Zoya Bylinskii, Zhicheng Liu
CHI 2021

PDF Video Demo Bibtex

@inproceedings{sultanum2021leveraging,
  title={Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow},
  author={Sultanum, Nicole and Chevalier, Fanny and Bylinskii, Zoya and Liu, Zhicheng},
  booktitle={Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},
  pages={1--17},
  year={2021}
}
              


Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection
Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adria Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Fredo Durand, Hanspeter Pfister
PacificVis 2021

PDF Website Code+Data Bibtex

@inproceedings{madan2021parsing,
  title={Parsing and Summarizing Infographics with Synthetically Trained Icon Detection},
  author={Madan, Spandan and Bylinskii, Zoya and Nobre, Carolina and Tancik, Matthew and Recasens, Adria and Zhong, Kimberli and Alsheikh, Sami and Oliva, Aude and Durand, Fredo and Pfister, Hanspeter},
  booktitle={2021 IEEE 14th Pacific Visualization Symposium (PacificVis)},
  pages={31--40},
  year={2021},
  organization={IEEE}
}
                


Parsing and Summarizing Infographics with Synthetically Trained Icon Detection

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews
Namrata Srivastava, Rajiv Jain, Jennifer Healey, Zoya Bylinskii, Tilman Dingler
CHI EA 2021

PDF Teaser Video Bibtex

@inproceedings{srivastava2021mitigating,
  title={Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews},
  author={Srivastava, Namrata and Jain, Rajiv and Healey, Jennifer and Bylinskii, Zoya and Dingler, Tilman},
  booktitle={Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems},
  year={2021}
}
                  


Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews

Has half the time passed? Investigating time perception at long time scales
Sandra Malpica, Belen Masia, Laura Herman, Gordon Wetzstein, David Eagleman, Diego Gutierrez, Zoya Bylinskii, Qi Sun
(in Revision)

Abstract Video Poster Bibtex

@article{malpica2020has,
title={Has half the time passed? Investigating time perception at long time scales},
author={Malpica, Sandra and Masia, Belen and Herman, Laura and Wetzstein, Gordon and Eagleman, David and Gutierrez, Diego and Bylinskii, Zoya and Sun, Qi},
journal={Journal of Vision},
volume={20},
number={11},
pages={489--489},
year={2020},
publisher={The Association for Research in Vision and Ophthalmology}
}
                  


Has half the time passed? Investigating time perception at long time scales

Memorability: An image-computable measure of information utility
Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva
Springer Book Chapter 2021

Preprint Bibtex

@article{bylinskii2021memorability,
  title={Memorability: An image-computable measure of information utility},
  author={Bylinskii, Zoya and Goetschalckx, Lore and Newman, Anelise and Oliva, Aude},
  journal={arXiv preprint arXiv:2104.00805},
  year={2021}
}
                  


Memorability: An image-computable measure of information utility

Look here! A parametric learning based approach to redirect visual attention
Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
ECCV 2020

PDF Website Video Code Bibtex

@inproceedings{mejjati2020look,
  title={Look here! A parametric learning based approach to redirect visual attention},
  author={Mejjati, Youssef A and Gomez, Celso F and Kim, Kwang In and Shechtman, Eli and Bylinskii, Zoya},
  booktitle={European Conference on Computer Vision},
  pages={343--361},
  year={2020},
  organization={Springer}
}
                  


Look here! A parametric learning based approach to redirect visual attention

Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness
Shaun Wallace, Rick Treitman, Jeff Huang, Ben D Sawyer, Zoya Bylinskii
CHI EA 2020

PDF Website Video Bibtex

  @inproceedings{wallace2020accelerating,
    title={Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness},
    author={Wallace, Shaun and Treitman, Rick and Huang, Jeff and Sawyer, Ben D and Bylinskii, Zoya},
    booktitle={Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems},
    pages={1--9},
    year={2020}
  }
                    


Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness

Toward Quantifying Ambiguities in Artistic Images
Xi Wang, Zoya Bylinskii, Aaron Hertzmann, Robert Pepperell
ACM Transactions on Applied Perception 2020

PDF Website Video Poster Bibtex

@article{wang2020toward,
  title={Toward Quantifying Ambiguities in Artistic Images},
  author={Wang, Xi and Bylinskii, Zoya and Hertzmann, Aaron and Pepperell, Robert},
  journal={ACM Transactions on Applied Perception (TAP)},
  volume={17},
  number={4},
  pages={1--10},
  year={2020},
  publisher={ACM New York, NY, USA}
}
                      


Toward Quantifying Ambiguities in Artistic Images

Predicting Visual Importance Across Graphic Design Types
Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii
ACM UIST 2020

PDF Website Teaser Video Poster Bibtex

@inproceedings{fosco2020predicting,
  title={Predicting Visual Importance Across Graphic Design Types},
  author={Fosco, Camilo and Casser, Vincent and Bedi, Amish Kumar and O'Donovan, Peter and Hertzmann, Aaron and Bylinskii, Zoya},
  booktitle={Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology},
  pages={249--260},
  year={2020}
}
                        


Predicting Visual Importance Across Graphic Design Types

How much time do you have? Modeling multi-duration saliency
Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii
CVPR 2020

PDF Teaser Poster Video Code Bibtex

@inproceedings{fosco2020much,
title={How much time do you have? Modeling multi-duration saliency},
author={Fosco, Camilo and Newman, Anelise and Sukhum, Pat and Zhang, Yun Bin and Zhao, Nanxuan and Oliva, Aude and Bylinskii, Zoya},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={4473--4482},
year={2020}
}
                          


How much time do you have? Modeling multi-duration saliency

TurkEyes: A web-based toolbox for crowdsourcing attention data
Anelise Newman, Barry McNamara, Camilo Fosco, Yun Bin Zhang, Pat Sukhum, Matthew Tancik, Nam Wook Kim, Zoya Bylinskii
CHI 2020

PDF Website Poster Video Code Bibtex

@inproceedings{newman2020turkeyes,
title={TurkEyes: A web-based toolbox for crowdsourcing attention data},
author={Newman, Anelise and McNamara, Barry and Fosco, Camilo and Zhang, Yun Bin and Sukhum, Pat and Tancik, Matthew and Kim, Nam Wook and Bylinskii, Zoya},
booktitle={Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
pages={1--13},
year={2020}
}
            


TurkEyes: A web-based toolbox for crowdsourcing attention data

Iconate: Automatic compound icon generation and ideation
Nanxuan Zhao, Nam Wook Kim, Laura Mariah Herman, Hanspeter Pfister, Rynson WH Lau, Jose Echevarria, Zoya Bylinskii
CHI 2020

PDF Website Teaser Video Code Bibtex

@inproceedings{zhao2020iconate,
title={Iconate: Automatic compound icon generation and ideation},
author={Zhao, Nanxuan and Kim, Nam Wook and Herman, Laura Mariah and Pfister, Hanspeter and Lau, Rynson WH and Echevarria, Jose and Bylinskii, Zoya},
booktitle={Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
pages={1--13},
year={2020}
}
            


Iconate: Automatic compound icon generation and ideation