Zoya Bylinskii

Orcid: 0000-0002-9746-9109

Affiliations:
  • Adobe Research, USA


According to our database1, Zoya Bylinskii authored at least 43 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
COR Themes for Readability from Iterative Feedback.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
PACMHCI V7, ETRA, May 2023 Editorial.
Proc. ACM Hum. Comput. Interact., May, 2023

Towards Better User Studies in Computer Graphics and Vision.
Found. Trends Comput. Graph. Vis., 2023

THERIF: A Pipeline for Generating Themes for Readability with Iterative Feedback.
CoRR, 2023

Web Table Formatting Affects Readability on Mobile Devices.
Proceedings of the ACM Web Conference 2023, 2023

Improving Mobile Reading Experiences While Walking Through Automatic Adaptations and Prompted Customization.
Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Preferred Reading Formats for Mobile Devices: Results from Readability Studies.
Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023

Leveraging Eye Tracking in Digital Classrooms: A Step Towards Multimodal Model for Learning Assistance.
Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

Realistic Saliency Guided Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Digital Reading Rulers: Evaluating Inclusively Designed Rulers for Readers With Dyslexia and Without.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

THERIF: Themes for Readability from Iterative Feedback.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different Individuals.
ACM Trans. Comput. Hum. Interact., 2022

Readability Research: An Interdisciplinary Approach.
Found. Trends Hum. Comput. Interact., 2022

A gaze-based study design to explore how competency evolves during a photo manipulation task.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize Readability.
Proceedings of the DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13, 2022

2021
Memorability: An image-computable measure of information utility.
CoRR, 2021

EMICS'21: Eye Movements as an Interface to Cognitive State.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection.
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020
Toward Quantifying Ambiguities in Artistic Images.
ACM Trans. Appl. Percept., 2020

Using Behavioral Interactions from a Mobile Device to Classify the Reader's Prior Familiarity and Goal Conditions.
CoRR, 2020

Predicting Visual Importance Across Graphic Design Types.
Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Look Here! A Parametric Learning Based Approach to Redirect Visual Attention.
Proceedings of the Computer Vision - ECCV 2020, 2020

How Much Time Do You Have? Modeling Multi-Duration Saliency.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ICONATE: Automatic Compound Icon Generation and Ideation.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

EMICS'20: Eye Movements as an Interface to Cognitive State.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
What Do Different Evaluation Metrics Tell Us About Saliency Models?
IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018
Computational perception for multi-modal document understanding.
PhD thesis, 2018

Bottom-up Attention, Models of.
CoRR, 2018

Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics.
CoRR, 2018

2017
BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention.
ACM Trans. Comput. Hum. Interact., 2017

Understanding Infographics through Textual and Visual Tag Prediction.
CoRR, 2017

BubbleView: an alternative to eye-tracking for crowdsourcing image importance.
CoRR, 2017

Learning Visual Importance for Graphic Designs and Data Visualizations.
Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

2016
Beyond Memorability: Visualization Recognition and Recall.
IEEE Trans. Vis. Comput. Graph., 2016

Where Should Saliency Models Look Next?
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information Visualizations.
Proceedings of the Eye Tracking and Visualization, 2015

A Crowdsourced Alternative to Eye-tracking for Visualization Understanding.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

2013
What Makes a Visualization Memorable?
IEEE Trans. Vis. Comput. Graph., 2013

Are all training examples equally valuable?
CoRR, 2013


  Loading...