Hierarchical Partial Matching and Segmentation of Interacting Cells. - Zheng Wu 003; Danna Gurari; Joyce Y. Wong; Margrit Betke (MICCAI (1), 2012)

SAGE: An approach and implementation empowering quick and reliable quantitative analysis of segmentation quality. - Danna Gurari; Suele Ki Kim; Eugene Yang; Brett Isenberg; Tuan A. Pham 002; Alberto Purwada; Patricia Solski; Matthew L. Walker; Joyce Y. Wong; Margrit Betke (WACV, 2013)

Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior. - Mehrnoosh Sameki; Danna Gurari; Margrit Betke (HCOMP, 2015)

How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms. - Danna Gurari; Diane H. Theriault; Mehrnoosh Sameki; Brett Isenberg; Tuan A. Pham 002; Alberto Purwada; Patricia Solski; Matthew L. Walker; Chentian Zhang; Joyce Y. Wong; Margrit Betke (WACV, 2015)

Combining crowd worker, algorithm, and expert efforts to find boundaries of objects in images - Danna Gurari (2015)

Pull the Plug? Predicting If Computers or Humans Should Segment Images. - Danna Gurari; Suyog Dutt Jain; Margrit Betke; Kristen Grauman (CVPR, 2016)

ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently. - Mehrnoosh Sameki; Danna Gurari; Margrit Betke (CVPR Workshops, 2016)

Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. - Danna Gurari; Mehrnoosh Sameki; Margrit Betke (HCOMP, 2016)

Visual Question: Predicting If a Crowd Will Agree on the Answer. - Danna Gurari; Kristen Grauman (CoRR, 2016)

CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question. - Danna Gurari; Kristen Grauman (CHI, 2017)

Crowd-O-Meter: Predicting if a Person Is Vulnerable to Believe Political Claims. - Mehrnoosh Sameki; Tianyi Zhang; Linli Ding; Margrit Betke; Danna Gurari (HCOMP, 2017)

BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments. - Abigale J. Stangl; Esha Kothari; Suyog Dutt Jain; Tom Yeh; Kristen Grauman; Danna Gurari (ASSETS, 2018)

VizWiz Grand Challenge: Answering Visual Questions From Blind People. - Danna Gurari; Qing Li 003; Abigale J. Stangl; Anhong Guo; Chi Lin 001; Kristen Grauman; Jiebo Luo 001; Jeffrey P. Bigham (CVPR, 2018)

Visual Question Answer Diversity. - Chun-Ju Yang; Kristen Grauman; Danna Gurari (HCOMP, 2018)

A Preliminary Study on Color and Grayscale Images Object Recognition and Scene Classification Tasks on Amazon Mechanical Turk Crowdsourcing Platform. - Aimee Yun-Fang Lin; Shelley Shwu-Ching Young; Harrison Pang-Sheng Lai; Danna Gurari (IHSED, 2018)

Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). - Danna Gurari; Kun He 003; Bo Xiong; Jianming Zhang 001; Mehrnoosh Sameki; Suyog Dutt Jain; Stan Sclaroff; Margrit Betke; Kristen Grauman (Int. J. Comput. Vis., 2018)

Dataset bias: A case study for visual question answering. - Anubrata Das 001; Samreen Anjum; Danna Gurari (ASIST, 2019)

Good Systems: Ethical AI for CSCW. - Kenneth R. Fleischmann; Sherri R. Greenberg; Danna Gurari; Abigale Stangl; Nitin Verma; Jaxsen R. Day; Rachel N. Simons; Tom Yeh (CSCW Companion, 2019)

VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People. - Danna Gurari; Qing Li 003; Chi Lin 001; Yinan Zhao; Anhong Guo; Abigale Stangl; Jeffrey P. Bigham (CVPR, 2019)

Why Does a Visual Question Have Different Answers? - Nilavra Bhattacharya; Qing Li 003; Danna Gurari (ICCV, 2019)

Unconstrained Foreground Object Search. - Yinan Zhao; Brian L. Price; Scott Cohen; Danna Gurari (ICCV, 2019)

Guided Image Inpainting: Replacing an Image Region by Pulling Content From Another Image. - Yinan Zhao; Brian L. Price; Scott Cohen; Danna Gurari (WACV, 2019)

VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets. - Nilavra Bhattacharya; Danna Gurari (CoRR, 2019)

Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. - Danna Gurari; Yinan Zhao; Suyog Dutt Jain; Margrit Betke; Kristen Grauman (Int. J. Comput. Vis., 2019)

Quality of images showing medication packaging from individuals with vision impairments: Implications for the design of visual question answering applications. - Nathan Davis; Bo Xie 001; Danna Gurari (ASIST, 2020)

Visual Content Considered Private by People Who are Blind. - Abigale Stangl; Kristina Shiroma; Bo Xie 001; Kenneth R. Fleischmann; Danna Gurari (ASSETS, 2020)

"Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions. - Abigale Stangl; Meredith Ringel Morris; Danna Gurari (CHI, 2020)

CTMC: Cell Tracking with Mitosis Detection Dataset Challenge. - Samreen Anjum; Danna Gurari (CVPR Workshops, 2020)

Assessing Image Quality Issues for Real-World Problems. - Tai-Yin Chiu; Yinan Zhao; Danna Gurari (CVPR, 2020)

Iterative Feature Transformation for Fast and Versatile Universal Style Transfer. - Tai-Yin Chiu; Danna Gurari (ECCV (19), 2020)

Captioning Images Taken by People Who Are Blind. - Danna Gurari; Yinan Zhao; Meng Zhang; Nilavra Bhattacharya (ECCV (17), 2020)

Objectness-Aware One-Shot Semantic Segmentation. - Yinan Zhao; Brian L. Price; Scott Cohen; Danna Gurari (CoRR, 2020)

CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos. - Samreen Anjum; Chi Lin 001; Danna Gurari (Proc. ACM Hum. Comput. Interact., 2020)

"I Hope This Is Helpful": Understanding Crowdworkers' Challenges and Motivations for an Image Description Task. - Rachel N. Simons; Danna Gurari; Kenneth R. Fleischmann (Proc. ACM Hum. Comput. Interact., 2020)

Vision Skills Needed to Answer Visual Questions. - Xiaoyu Zeng; Yanan Wang 008; Tai-Yin Chiu; Nilavra Bhattacharya; Danna Gurari (Proc. ACM Hum. Comput. Interact., 2020)

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 Ringel Morris; Danna Gurari (ASSETS, 2021)

Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning. - Josh Myers-Dean; Yinan Zhao; Brian L. Price; Scott Cohen; Danna Gurari (CoRR, 2021)

A Perspective on Building Ethical Datasets for Children's Conversational Agents. - Jakki O. Bailey; Barkha Patel; Danna Gurari (Frontiers Artif. Intell., 2021)

Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images. - Samreen Anjum; Ambika Verma; Brandon Dang; Danna Gurari (Hum. Comput., 2021)

Grounding Answers for Visual Questions Asked by Visually Impaired People. - Chongyan Chen; Samreen Anjum; Danna Gurari (CVPR, 2022)

PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models. - Tai-Yin Chiu; Danna Gurari (CVPR, 2022)

VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments. - Yu-Yun Tseng; Alexander Bell; Danna Gurari (ECCV (8), 2022)

PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals. - Tai-Yin Chiu; Danna Gurari (WACV, 2022)

Privacy Concerns for Visual Assistance Technologies. - Abigale Stangl; Kristina Shiroma; Nathan Davis; Bo Xie 001; Kenneth R. Fleischmann; Leah Findlater; Danna Gurari (ACM Trans. Access. Comput., 2022)

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; Yang Wang 005 (CHI, 2023)

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; Danna Gurari (CVPR, 2023)

VQA Therapy: Exploring Answer Differences by Visually Grounding Answers. - Chongyan Chen; Samreen Anjum; Danna Gurari (ICCV, 2023)

ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content. - Zhuohao (Jerry) Zhang; Smirity Kaushik; Jooyoung Seo; Haolin Yuan; Sauvik Das; Leah Findlater; Danna Gurari; Abigale Stangl; Yang Wang 005 (SOUPS, 2023)

"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 005; Danna Gurari; Leah Findlater (W4A, 2023)

Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer. - Tai-Yin Chiu; Danna Gurari (WACV, 2023)

Helping Visually Impaired People Take Better Quality Pictures. - Maniratnam Mandal; Deepti Ghadiyaram; Danna Gurari; Alan C. Bovik (IEEE Trans. Image Process., 2023)

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 005; Leah Findlater (CHI, 2024)

Interpreting COVID Lateral Flow Tests' Results with Foundation Models. - Stuti Pandey; Josh Myers-Dean; Jarek Reynolds; Danna Gurari (CVPR Workshops, 2024)

Fully Authentic Visual Question Answering Dataset from Online Communities. - Chongyan Chen; Mengchen Liu; Noel Codella; Yunsheng Li; Lu Yuan; Danna Gurari (ECCV (48), 2024)

SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images. - Josh Myers-Dean; Jarek Reynolds; Brian L. Price; Yifei Fan; Danna Gurari (ECCV (24), 2024)

Interactive Segmentation for Diverse Gesture Types Without Context. - Josh Myers-Dean; Yifei Fan; Brian L. Price; Wilson Chan; Danna Gurari (WACV, 2024)

Salient Object Detection for Images Taken by People With Vision Impairments. - Jarek Reynolds; Chandra Kanth Nagesh; Danna Gurari (WACV, 2024)

Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors. - Samreen Anjum; Suyog Dutt Jain; Danna Gurari (CoRR, 2024)

Long-Form Answers to Visual Questions from Blind and Low Vision People. - Mina Huh; Fangyuan Xu; Yi-Hao Peng; Chongyan Chen; Hansika Murugu; Danna Gurari; Eunsol Choi; Amy Pavel (CoRR, 2024)

conSAMme: Achieving Consistent Segmentations with SAM. - Josh Myers-Dean; Kangning Liu; Brian L. Price; Yifei Fan; Jason Kuen; Danna Gurari (CVPR Workshops, 2025)

Hierarchical Semantic Segmentation with Autoregressive Language Modeling. - Josh Myers-Dean; Brian L. Price; Yifei Fan; Danna Gurari (CVPR Workshops, 2025)

PartStickers: Generating Parts of Objects for Rapid Prototyping. - Mo Zhou; Josh Myers-Dean; Danna Gurari (CVPR Workshops, 2025)

BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments. - Yu-Yun Tseng; Tanusree Sharma; Lotus Zhang; Abigale Stangl; Leah Findlater; Yang Wang 005; Danna Gurari (WACV, 2025)

Accounting for Focus Ambiguity in Visual Questions. - Chongyan Chen; Yu-Yun Tseng; Zhuoheng Li; Anush Venkatesh; Danna Gurari (CoRR, 2025)

"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People. - Tanusree Sharma; Yu-Yun Tseng; Lotus Zhang; Ayae Ide; Kelly Avery Mack; Leah Findlater; Danna Gurari; Yang Wang 005 (CoRR, 2025)