Danna Gurari

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 73

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Publications

Lotus Zhang, Abigale Stangl, Tanusree Sharma, Yu-Yun Tseng, Inan Xu, Danna Gurari, Yang Wang, Leah Findlater
Designing Accessible Obfuscation Support for Blind Individuals' Visual Privacy Management. CHI (2024)
Yu-Yun Tseng, Tanusree Sharma, Lotus Zhang, Abigale Stangl, Leah Findlater, Yang Wang, Danna Gurari
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments. CoRR (2024)
Stuti Pandey, Josh Myers-Dean, Jarek Reynolds, Danna Gurari
Interpreting COVID Lateral Flow Tests' Results with Foundation Models. CoRR (2024)
Jarek Reynolds, Chandra Kanth Nagesh, Danna Gurari
Salient Object Detection for Images Taken by People With Vision Impairments. WACV (2024)
Samreen Anjum, Suyog Dutt Jain, Danna Gurari
Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors. CoRR (2024)
Josh Myers-Dean, Yifei Fan, Brian Price, Wilson Chan, Danna Gurari
Interactive Segmentation for Diverse Gesture Types Without Context. WACV (2024)
Josh Myers-Dean, Jarek Reynolds, Brian L. Price, Yifei Fan, Danna Gurari
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images. CoRR (2024)
Zhuohao (Jerry) Zhang, Smirity Kaushik, Jooyoung Seo, Haolin Yuan, Sauvik Das, Leah Findlater, Danna Gurari, Abigale Stangl, Yang Wang
ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content. SOUPS (2023)
Chongyan Chen, Samreen Anjum, Danna Gurari
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers. ICCV (2023)
Reza Akbarian Bafghi, Danna Gurari
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories. CVPR (2023)
Maniratnam Mandal, Deepti Ghadiyaram, Danna Gurari, Alan C. Bovik
Helping Visually Impaired People Take Better Quality Pictures. CoRR (2023)
Josh Myers-Dean, Yifei Fan, Brian Price, Wilson Chan, Danna Gurari
Interactive Segmentation for Diverse Gesture Types Without Context. CoRR (2023)
Chongyan Chen, Samreen Anjum, Danna Gurari
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers. CoRR (2023)
Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari
Fully Authentic Visual Question Answering Dataset from Online Communities. CoRR (2023)
Maniratnam Mandal, Deepti Ghadiyaram, Danna Gurari, Alan C. Bovik
Helping Visually Impaired People Take Better Quality Pictures. IEEE Trans. Image Process. 32 (2023)
Abigale Stangl, Emma Sadjo, Pardis Emami Naeini, Yang Wang, Danna Gurari, Leah Findlater
"Dump it, Destroy it, Send it to Data Heaven": Blind People's Expectations for Visual Privacy in Visual Assistance Technologies. W4A (2023)
Jarek Reynolds, Chandra Kanth Nagesh, Danna Gurari
Salient Object Detection for Images Taken by People With Vision Impairments. CoRR (2023)
Tanusree Sharma, Abigale Stangl, Lotus Zhang, Yu-Yun Tseng, Inan Xu, Leah Findlater, Danna Gurari, Yang Wang
Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind. CHI (2023)
Tai-Yin Chiu, Danna Gurari
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer. WACV (2023)
Yu-Yun Tseng, Alexander Bell, Danna Gurari
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments. CoRR (2022)
Yu-Yun Tseng, Alexander Bell, Danna Gurari
VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments. ECCV (8) (2022)
Chongyan Chen, Samreen Anjum, Danna Gurari
Grounding Answers for Visual Questions Asked by Visually Impaired People. CVPR (2022)
Tai-Yin Chiu, Danna Gurari
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer. CoRR (2022)
Chongyan Chen, Samreen Anjum, Danna Gurari
Grounding Answers for Visual Questions Asked by Visually Impaired People. CoRR (2022)
Tai-Yin Chiu, Danna Gurari
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models. CVPR (2022)
Abigale Stangl, Kristina Shiroma, Nathan Davis, Bo Xie, Kenneth R. Fleischmann, Leah Findlater, Danna Gurari
Privacy Concerns for Visual Assistance Technologies. ACM Trans. Access. Comput. 15 (2) (2022)
Tai-Yin Chiu, Danna Gurari
: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals. WACV (2022)
Tai-Yin Chiu, Danna Gurari
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models. CoRR (2022)
Tai-Yin Chiu, Danna Gurari
: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals. CoRR (2021)
Abigale Stangl, Nitin Verma, Kenneth R. Fleischmann, Meredith Ringel Morris, Danna Gurari
Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision. ASSETS (2021)
Jakki O. Bailey, Barkha Patel, Danna Gurari
A Perspective on Building Ethical Datasets for Children's Conversational Agents. Frontiers Artif. Intell. 4 (2021)
Samreen Anjum, Ambika Verma, Brandon Dang, Danna Gurari
Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images. Hum. Comput. 8 (2) (2021)
Josh Myers-Dean, Yinan Zhao, Brian Price, Scott Cohen, Danna Gurari
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning. CoRR (2021)
Abigale Stangl, Kristina Shiroma, Bo Xie, Kenneth R. Fleischmann, Danna Gurari
Visual Content Considered Private by People Who are Blind. ASSETS (2020)
Nathan Davis, Bo Xie, Danna Gurari
Quality of images showing medication packaging from individuals with vision impairments: Implications for the design of visual question answering applications. ASIST (2020)
Rachel N. Simons, Danna Gurari, Kenneth R. Fleischmann
"I Hope This Is Helpful": Understanding Crowdworkers' Challenges and Motivations for an Image Description Task. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Samreen Anjum, Chi Lin, Danna Gurari
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos. Proc. ACM Hum. Comput. Interact. 4 (CSCW3) (2020)
Tai-Yin Chiu, Danna Gurari
Iterative Feature Transformation for Fast and Versatile Universal Style Transfer. ECCV (19) (2020)
Samreen Anjum, Chi Lin, Danna Gurari
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos. CoRR (2020)
Samreen Anjum, Danna Gurari
CTMC: Cell Tracking with Mitosis Detection Dataset Challenge. CVPR Workshops (2020)
Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya
Captioning Images Taken by People Who Are Blind. CoRR (2020)
Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari
Objectness-Aware One-Shot Semantic Segmentation. CoRR (2020)
Tai-Yin Chiu, Yinan Zhao, Danna Gurari
Assessing Image Quality Issues for Real-World Problems. CVPR (2020)
Xiaoyu Zeng, Yanan Wang, Tai-Yin Chiu, Nilavra Bhattacharya, Danna Gurari
Vision Skills Needed to Answer Visual Questions. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya
Captioning Images Taken by People Who Are Blind. ECCV (17) (2020)
Xiaoyu Zeng, Yanan Wang, Tai-Yin Chiu, Nilavra Bhattacharya, Danna Gurari
Vision Skills Needed to Answer Visual Questions. CoRR (2020)
Tai-Yin Chiu, Yinan Zhao, Danna Gurari
Assessing Image Quality Issues for Real-World Problems. CoRR (2020)
Abigale Stangl, Meredith Ringel Morris, Danna Gurari
"Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions. CHI (2020)
Anubrata Das, Samreen Anjum, Danna Gurari
Dataset bias: A case study for visual question answering. ASIST (2019)
Danna Gurari, Qing Li, Chi Lin, Yinan Zhao, Anhong Guo, Abigale Stangl, Jeffrey P. Bigham
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People. CVPR (2019)
Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari
Unconstrained Foreground Object Search. CoRR (2019)
Danna Gurari, Yinan Zhao, Suyog Dutt Jain, Margrit Betke, Kristen Grauman
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. CoRR (2019)
Nilavra Bhattacharya, Danna Gurari
VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets. CoRR (2019)
Nilavra Bhattacharya, Qing Li, Danna Gurari
Why Does a Visual Question Have Different Answers? CoRR (2019)
Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari
Guided Image Inpainting: Replacing an Image Region by Pulling Content From Another Image. WACV (2019)
Danna Gurari, Yinan Zhao, Suyog Dutt Jain, Margrit Betke, Kristen Grauman
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. Int. J. Comput. Vis. 127 (9) (2019)
Nilavra Bhattacharya, Qing Li, Danna Gurari
Why Does a Visual Question Have Different Answers? ICCV (2019)
Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari
Unconstrained Foreground Object Search. ICCV (2019)
Kenneth R. Fleischmann, Sherri R. Greenberg, Danna Gurari, Abigale Stangl, Nitin Verma, Jaxsen R. Day, Rachel N. Simons, Tom Yeh
Good Systems: Ethical AI for CSCW. CSCW Companion (2019)
Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham
VizWiz Grand Challenge: Answering Visual Questions From Blind People. CVPR (2018)
Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). Int. J. Comput. Vis. 126 (7) (2018)
Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham
VizWiz Grand Challenge: Answering Visual Questions from Blind People. CoRR (2018)
Abigale J. Stangl, Esha Kothari, Suyog Dutt Jain, Tom Yeh, Kristen Grauman, Danna Gurari
BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments. ASSETS (2018)
Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari
Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image. CoRR (2018)
Aimee Yun-Fang Lin, Shelley Shwu-Ching Young, Harrison Pang-Sheng Lai, Danna Gurari
A Preliminary Study on Color and Grayscale Images Object Recognition and Scene Classification Tasks on Amazon Mechanical Turk Crowdsourcing Platform. IHSED (2018)
Chun-Ju Yang, Kristen Grauman, Danna Gurari
Visual Question Answer Diversity. HCOMP (2018)
Mehrnoosh Sameki, Tianyi Zhang, Linli Ding, Margrit Betke, Danna Gurari
Crowd-O-Meter: Predicting if a Person Is Vulnerable to Believe Political Claims. HCOMP (2017)
Danna Gurari, Kristen Grauman
CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question. CHI (2017)
Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). CoRR (2017)
Mehrnoosh Sameki, Danna Gurari, Margrit Betke
ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently. CVPR Workshops (2016)
Danna Gurari, Suyog Dutt Jain, Margrit Betke, Kristen Grauman
Pull the Plug? Predicting If Computers or Humans Should Segment Images. CVPR (2016)
Danna Gurari, Kristen Grauman
Visual Question: Predicting If a Crowd Will Agree on the Answer. CoRR (2016)
Danna Gurari, Mehrnoosh Sameki, Margrit Betke
Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. HCOMP (2016)
Danna Gurari, Diane H. Theriault, Mehrnoosh Sameki, Brett Isenberg, Tuan A. Pham, Alberto Purwada, Patricia Solski, Matthew L. Walker, Chentian Zhang, Joyce Y. Wong, Margrit Betke
How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms. WACV (2015)
Mehrnoosh Sameki, Danna Gurari, Margrit Betke
Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior. HCOMP (2015)
Danna Gurari, Suele Ki Kim, Eugene Yang, Brett Isenberg, Tuan A. Pham, Alberto Purwada, Patricia Solski, Matthew L. Walker, Joyce Y. Wong, Margrit Betke
SAGE: An approach and implementation empowering quick and reliable quantitative analysis of segmentation quality. WACV (2013)
Zheng Wu, Danna Gurari, Joyce Y. Wong, Margrit Betke
Hierarchical Partial Matching and Segmentation of Interacting Cells. MICCAI (1) (2012)