Publications - Danna Gurari

Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management

Lotus Zhang, Abigale Stangl, Tanusree Sharma, Yu-Yun Tseng, Inan Xu, Danna Gurari, Yang Wang, and Leah Findlater. CHI, 2024.

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Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors

Samreen Anjum, Suyog Jain, Danna Gurari. arXiv, 2024.

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Interactive Segmentation for Diverse Gesture Types Without Context

Josh Myers-Dean, Yifei Fan, Brian Price, Wilson Chan, and Danna Gurari. IEEE Winter Conference on Applications in Computer Vision (WACV), January 2024.

Paper Website

Salient Object Detection for Images Taken by People With Vision Impairments

Jarek Reynolds, Chandra Kanth Nagesh, and Danna Gurari. IEEE Winter Conference on Applications in Computer Vision (WACV), January 2024.

Paper Website

An Evaluation of GPT-4V and Gemini in Online VQA

Mengchen Liu, Chongyan Chen, and Danna Gurari. arXiv, December 2023

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Fully Authentic Visual Question Answering Dataset from Online Communities

Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, and Danna Gurari. arXiv, December 2023

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VQA Therapy: Exploring Answer Differences by Visually Grounding Answers

Chongyan Chen, Samreen Anjum, and Danna Gurari. IEEE International Conference on Computer Vision (ICCV), October 2023.

Paper Website

ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content

Zhuohao Zhang, Smirity Kaushik, JooYoung Seo, Haolin Yuan, Sauvik Das, Leah Findlater, Danna Gurari, Abigale Stangl, and Yang Wang. The Symposium on Usable Privacy and Security (SOUPS), August 2023.

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A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories

Reza Akbarian Bafghi and Danna Gurari. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.

Paper Website

Helping Visually Impaired People Take Better Quality Pictures

Maniratnam Mandal, Deepti Ghadiyaram, Danna Gurari, and Alan Bovik. IEEE Transactions on Image Processing (T-IP), 2023.

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‘Dump it, Destroy it, Send it to Data Heaven’: Blind People’s Expectations for Visual Privacy in Visual Assistance Technologies

Abigale Stangl, Emma Sadjo, Pardis Emami-Naeini, Yang Wang, Danna Gurari, and Leah Findlater. International Web for All Conference (W4A), May 2023.

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Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind

Tanusree Sharma, Abigale Stangl, Lotus Zhang, Yu-Yun Tseng, Inan Xu, Leah Findlater, Danna Gurari, and Yang Wang. ACM Conference on Human Factors in Computing Systems (CHI), April 2023.

Paper Website

VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments

Yu-Yun Tseng, Alexander Bell, and Danna Gurari. European Conference on Computer Vision (ECCV), October 2022.

Paper Website

Oral Presentation (Top 4% of 8161 submissions)

Grounding Answers for Visual Questions Asked by Visually Impaired People

Chongyan Chen, Samreen Anjum, and Danna Gurari. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.

Paper Website

PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models

Tai-Yin Chiu and Danna Gurari. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.

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Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning

Josh Myers-Dean, Yinan Zhao, Brian Price, Scott Cohen, and Danna Gurari. arXiv, March 2022.

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Privacy Concerns for Visual Assistance Technologies

Abigale Stangl, Kristina Shiroma, Nathan Davis, Bo Xie, Kenneth R. Fleischmann, Leah Findlater, and Danna Gurari. ACM Transactions on Accessible Computing, February 2022.

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PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting From Blockwise Training and Skip Connections of High-Frequency Residuals

Tai-Yin Chiu and Danna Gurari. IEEE Winter conference on Applications in Computer Vision (WACV), January 2022.

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Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision

Abigale Stangl, Nitin Verma, Kenneth R. Fleischmann, Meredith Morris, and Danna Gurari. ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), October 2021.

Paper Video

Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images

Samreen Anjum, Ambika Verma, Brandon Dang, and Danna Gurari. Human Computation Journal, 2021.

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A Perspective on Building Ethical Datasets for Children’s Conversational Agents

Jakki Bailey, Barkha Patel, and Danna Gurari. Frontiers in Artificial Intelligence, 2021.

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SIG-USE Innovation Award

Quality of Images Showing Medication Packaging from Individuals with Vision Impairments: Implications for the Design of Visual Question Answering Applications

Nathan Davis, Danna Gurari, and Bo Xie. Association for Information Science and Technology (ASIS&T), October 2020.

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Visual Content Considered Private by People Who Are Blind

Abigale Stangl, Kristina Shiroma, Bo Xie, Kenneth R. Fleischmann, and Danna Gurari. ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), October 2020.

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‘I Hope This Is Helpful’: Understanding Crowdworkers’ Challenges and Motivations for an Image Description Task

Rachel Simons, Danna Gurari, and Kenneth R. Fleischmann. Proceedings of the ACM on Human Computer Interaction (PACM HCI), 2020.

Paper Data

Best Paper Honorable Mention

Vision Skills Needed to Answer Visual Questions

Xiaoyu Zeng, Yang Wang, Tai-Yin Chiu, Nilavra Bhattacharya, and Danna Gurari. Proceedings of the ACM on Human Computer Interaction (PACM HCI), 2020.

Paper Website Video

CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos

Samreen Anjum, Chi Lin, and Danna Gurari. Proceedings of the ACM on Human Computer Interaction (PACM HCI), 2020.

Paper Video Demo Code

Captioning Images Taken by People Who Are Blind

Danna Gurari, Yinan Zhao, Meng Zhang, and Nilavra Bhattacharya. European Conference on Computer Vision (ECCV), August 2020.

Paper Website

Iterative Feature Transformation for Fast and Versatile Universal Style Transfer

Tai-Yin Chiu and Danna Gurari. European Conference on Computer Vision (ECCV), August 2020.

Paper Supplementary

Assessing Image Quality Issues for Real-World Problems

Tai-Yin Chiu, Yinan Zhao, and Danna Gurari. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.

Paper Website

CTMC: Cell Tracking with Mitosis Detection Dataset Challenge

Samreen Anjum and Danna Gurari. CVPR Computer Vision for Microscopy Image Analysis (CVMI) Workshop, June 2020.

Paper Website

“Person, Shoes, Tree. Is the Person Naked?” What People with Vision Impairments Want in Image Descriptions

Abigale Stangl, Meredith Morris, and Danna Gurari. ACM Conference on Human Factors in Computing Systems (CHI), April 2020.

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Objectness-Aware One-Shot Semantic Segmentation

Yinan Zhao, Brian Price, Scott Cohen, and Danna Gurari. arXiv, April 2020.

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Dataset Bias: A Case Study for Visual Question Answering

Anubrata Das, Samreen Anjum, and Danna Gurari. Association for Information Science and Technology (ASIS&T), October 2019.

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Why Does a Visual Question Have Different Answers?

Nilavra Bhattacharya, Qing Li, and Danna Gurari. IEEE International Conference on Computer Vision (ICCV), October 2019.

Paper Website Poster

Unconstrained Foreground Object Search

Yinan Zhao, Brian Price, Scott Cohen, and Danna Gurari. IEEE International Conference on Computer Vision (ICCV), October 2019.

Paper Poster

VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People

Danna Gurari, Qing Li, Chi Lin, Yinan Zhao, Anhong Guo, Abigale Stangl, and Jeffrey Bigham. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.

Paper Website Supplementary Poster

Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch

Danna Gurari, Yinan Zhao, Suyog Jain, Margrit Betke, and Kristen Grauman. International Journal of Computer Vision (IJCV), March 2019.

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Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image

Yinan Zhao, Brian Price, Scott Cohen, and Danna Gurari. IEEE Winter conference on Applications in Computer Vision (WACV), January 2019.

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BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments

Abigale Stangl, Esha Kothari, Suyog Jain, Tom Yeh, Kristen Grauman, and Danna Gurari. ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), October 2018.

Paper Video Code Presentation

Visual Question Answer Diversity

Chun-Ju Yang, Kristen Grauman, and Danna Gurari. AAAI Conference on Human Computation and Crowdsourcing (HCOMP), July 2018.

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Spotlight Presentation (Top 9% of 3309 submissions)

VizWiz Grand Challenge: Answering Visual Questions from Blind People

Danna Gurari, Qing Li, Abigale Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, and Jeffrey Bigham. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2018.

Paper Website Video Poster

Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)

Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Jain, Stan Sclaroff, Margrit Betke, and Kristen Grauman. International Journal of Computer Vision (IJCV), January 2018.

Paper Website

Crowd-O-Meter: Predicting if a Person is Vulnerable to Believe Political Claims

Mehrnoosh Sameki, Tianyi Zhang, Linli Ding, Margrit Betke, and Danna Gurari. AAAI Conference on Human Computation & Crowdsourcing (HCOMP), October 2017.

Paper Website Video

Honorable Mention Award (Top 5% of 2400+ submissions)

CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question

Danna Gurari and Kristen Grauman. ACM Conference on Human Factors in Computing Systems (CHI), May 2017.

Paper Website Video

Best Paper Runner-Up

CrowdTrack: Interactive Tracking of Cells in Microscopy Image Sequences with Crowdsourcing Support

Mehrnoosh Sameki, Mattia Gentil, Danna Gurari, Elham Saraee, Erik Hasenberg, Joyce Wong and Margrit Betke. Workshop on Human Computation for Image and Video Analysis at AAAI Conference on Human Computation & Crowdsourcing (HCOMP GroupSight), November 2016.

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Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System

Danna Gurari, Mehrnoosh Sameki, and Margrit Betke. AAAI Conference on Human Computation & Crowdsourcing (HCOMP), November 2016.

Paper Video

Mixing Crowd and Algorithm Efforts to Segment Objects in Biomedical Images

Danna Gurari, Mehrnoosh Sameki, Zheng Wu, and Margrit Betke. Medical Image Computing and Computer Assisted Intervention Interactive Medical Image Computation Workshop (MICCAI IMIC), October 2016.

Paper Video

Pull the Plug? Predicting If Computers or Humans Should Segment Images

Danna Gurari, Suyog Jain, Margrit Betke, and Kristen Grauman. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016.

Paper Poster

ICORD: Intelligent Collection of Redundant Data – A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently

Mehrnoosh Sameki, Danna Gurari, and Margrit Betke. CVPR Computer Vision for Microscopy Image Analysis (CVMI) Workshop, June 2016.

Paper Video Poster

Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior

Mehrnoosh Sameki, Danna Gurari, and Margrit Betke. AAAI Conference on Human Computation & Crowdsourcing (HCOMP), November 2015.

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Characterizing Image Segmentation Behavior of the Crowd

Mehrnoosh Sameki, Danna Gurari, and Margrit Betke. Collective Intelligence, June 2015.

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How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-Experts, and Algorithms

Danna Gurari, Diane Theriault, Mehrnoosh Sameki, Brett Isenberg, Tuan Pham, Alberto Purwada, Patricia Solski, Matthew Walker, Chian Zhang, Joyce Wong, and Margrit Betke. Winter conference on Applications in Computer Vision (WACV), January 2015.

Paper Video Poster

Informed Segmentation: A Framework for Using Context to Select an Algorithm and a Case Study Using Humans in the Loop

Danna Gurari, Diane Theriault, and Margrit Betke. Medical Image Computing and Computer Assisted Intervention Interactive Medical Image Computation Workshop (MICCAI IMIC), September 2014.

Paper Video

Best Paper for Innovative Idea

How to Use Level Set Methods to Accurately Find Boundaries of Cells in Biomedical Images? Evaluation of Six methods Paired with Automated and Crowdsourced Initial Contours

Danna Gurari, Diane Theriault, Mehrnoosh Sameki, and Margrit Betke. Medical Image Computing and Computer Assisted Intervention Interactive Medical Image Computation Workshop (MICCAI IMIC), September 2014.

Paper Video

I’mCell: A Touch Pad Tool for Annotating Cell Images

Seule Ki Kim, Danna Gurari, Chian Yang, Christopher Hartman, Matthew Jacobsen, Joyce Wong, and Margrit Betke. Biomedical Signal Analysis (BSA): 3-D Imaging in Medicine, 2014.

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Best Paper

SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality

Danna Gurari, Suele Ki Kim, Eugene Yang, Brett Eisenberg, Tuan Pham, Alberto Purwada, Patricia Solski, Matthew Walker, Joyce Wong, and Margrit Betke. Workshop on Applications in Computer Vision (WACV), January 2013.

Paper Video Poster

Hierarchical Partial Matching and Segmentation of Interacting Cells

Zheng Wu, Danna Gurari, Joyce Wong, and Margrit Betke. Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2012.

Paper Video Poster

Interactive Art System for Multiple Users Based on Tracking Hand Movements

Byunghyung Kim, Danna Gurari, Hough O’Donnell, and Margrit Betke. IADIS International Conference Interfaces and Human Computer Interaction (IHCI), July 2011.

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Harmonic Imaging Using a Mechanical Sector, B-Mode Ultrasound System

Danna Gurari. Master’s Thesis, Washington University Department of Computer Science, August 2005.

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