Danna Gurari

Orcid: 0000-0003-1306-0283

According to our database1, Danna Gurari authored at least 54 papers between 2012 and 2023.

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

Timeline

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Bibliography

2023
Helping Visually Impaired People Take Better Quality Pictures.
IEEE Trans. Image Process., 2023

Fully Authentic Visual Question Answering Dataset from Online Communities.
CoRR, 2023

Interactive Segmentation for Diverse Gesture Types Without Context.
CoRR, 2023

Salient Object Detection for Images Taken by People With Vision Impairments.
CoRR, 2023

Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

"Dump it, Destroy it, Send it to Data Heaven": Blind People's Expectations for Visual Privacy in Visual Assistance Technologies.
Proceedings of the 20th International Web for All Conference, 2023

ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content.
Proceedings of the Nineteenth Symposium on Usable Privacy and Security, 2023

VQA Therapy: Exploring Answer Differences by Visually Grounding Answers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Privacy Concerns for Visual Assistance Technologies.
ACM Trans. Access. Comput., 2022

PhotoWCT<sup>2</sup>: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments.
Proceedings of the Computer Vision - ECCV 2022, 2022

PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Grounding Answers for Visual Questions Asked by Visually Impaired People.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images.
Hum. Comput., 2021

A Perspective on Building Ethical Datasets for Children's Conversational Agents.
Frontiers Artif. Intell., 2021

Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning.
CoRR, 2021

Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision.
Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

2020
Vision Skills Needed to Answer Visual Questions.
Proc. ACM Hum. Comput. Interact., 2020

"I Hope This Is Helpful": Understanding Crowdworkers' Challenges and Motivations for an Image Description Task.
Proc. ACM Hum. Comput. Interact., 2020

CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos.
Proc. ACM Hum. Comput. Interact., 2020

Objectness-Aware One-Shot Semantic Segmentation.
CoRR, 2020

Captioning Images Taken by People Who Are Blind.
Proceedings of the Computer Vision - ECCV 2020, 2020

Iterative Feature Transformation for Fast and Versatile Universal Style Transfer.
Proceedings of the Computer Vision - ECCV 2020, 2020

Assessing Image Quality Issues for Real-World Problems.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CTMC: Cell Tracking with Mitosis Detection Dataset Challenge.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

"Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Visual Content Considered Private by People Who are Blind.
Proceedings of the ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility, 2020

Quality of images showing medication packaging from individuals with vision impairments: Implications for the design of visual question answering applications.
Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

2019
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch.
Int. J. Comput. Vis., 2019

VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets.
CoRR, 2019

Guided Image Inpainting: Replacing an Image Region by Pulling Content From Another Image.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Unconstrained Foreground Object Search.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Why Does a Visual Question Have Different Answers?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Good Systems: Ethical AI for CSCW.
Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

Dataset bias: A case study for visual question answering.
Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019

2018
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s).
Int. J. Comput. Vis., 2018

A Preliminary Study on Color and Grayscale Images Object Recognition and Scene Classification Tasks on Amazon Mechanical Turk Crowdsourcing Platform.
Proceedings of the Human Systems Engineering and Design, 2018

Visual Question Answer Diversity.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

VizWiz Grand Challenge: Answering Visual Questions From Blind People.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments.
Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018

2017
Crowd-O-Meter: Predicting if a Person Is Vulnerable to Believe Political Claims.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Visual Question: Predicting If a Crowd Will Agree on the Answer.
CoRR, 2016

Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Pull the Plug? Predicting If Computers or Humans Should Segment Images.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Combining crowd worker, algorithm, and expert efforts to find boundaries of objects in images
PhD thesis, 2015

How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2013
SAGE: An approach and implementation empowering quick and reliable quantitative analysis of segmentation quality.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

2012
Hierarchical Partial Matching and Segmentation of Interacting Cells.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012


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