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Danna Gurari
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2020 – today
- 2024
- [c42]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: 235:1-235:19 - [c41]Stuti Pandey, Josh Myers-Dean, Jarek Reynolds, Danna Gurari:
Interpreting COVID Lateral Flow Tests' Results with Foundation Models. CVPR Workshops 2024: 4935-4942 - [c40]Josh Myers-Dean, Jarek Reynolds, Brian L. Price, Yifei Fan, Danna Gurari:
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images. ECCV (24) 2024: 275-292 - [c39]Josh Myers-Dean, Yifei Fan, Brian L. Price, Wilson Chan, Danna Gurari:
Interactive Segmentation for Diverse Gesture Types Without Context. WACV 2024: 7173-7183 - [c38]Jarek Reynolds, Chandra Kanth Nagesh, Danna Gurari:
Salient Object Detection for Images Taken by People With Vision Impairments. WACV 2024: 8507-8516 - [i29]Stuti Pandey, Josh Myers-Dean, Jarek Reynolds, Danna Gurari:
Interpreting COVID Lateral Flow Tests' Results with Foundation Models. CoRR abs/2404.14990 (2024) - [i28]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 abs/2405.03643 (2024) - [i27]Josh Myers-Dean, Jarek Reynolds, Brian L. Price, Yifei Fan, Danna Gurari:
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images. CoRR abs/2407.09686 (2024) - [i26]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 abs/2407.18243 (2024) - [i25]Mina Huh, Fangyuan Xu, Yi-Hao Peng, Chongyan Chen, Hansika Murugu, Danna Gurari, Eunsol Choi, Amy Pavel:
Long-Form Answers to Visual Questions from Blind and Low Vision People. CoRR abs/2408.06303 (2024) - 2023
- [j9]Maniratnam Mandal, Deepti Ghadiyaram, Danna Gurari, Alan C. Bovik:
Helping Visually Impaired People Take Better Quality Pictures. IEEE Trans. Image Process. 32: 3873-3884 (2023) - [c37]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: 51:1-51:15 - [c36]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: 16261-16270 - [c35]Chongyan Chen, Samreen Anjum, Danna Gurari:
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers. ICCV 2023: 15269-15279 - [c34]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: 417-436 - [c33]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: 134-147 - [c32]Tai-Yin Chiu, Danna Gurari:
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer. WACV 2023: 249-258 - [i24]Jarek Reynolds, Chandra Kanth Nagesh, Danna Gurari:
Salient Object Detection for Images Taken by People With Vision Impairments. CoRR abs/2301.05323 (2023) - [i23]Maniratnam Mandal, Deepti Ghadiyaram, Danna Gurari, Alan C. Bovik:
Helping Visually Impaired People Take Better Quality Pictures. CoRR abs/2305.08066 (2023) - [i22]Josh Myers-Dean, Yifei Fan, Brian L. Price, Wilson Chan, Danna Gurari:
Interactive Segmentation for Diverse Gesture Types Without Context. CoRR abs/2307.10518 (2023) - [i21]Chongyan Chen, Samreen Anjum, Danna Gurari:
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers. CoRR abs/2308.11662 (2023) - [i20]Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari:
Fully Authentic Visual Question Answering Dataset from Online Communities. CoRR abs/2311.15562 (2023) - 2022
- [j8]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): 15:1-15:43 (2022) - [c31]Tai-Yin Chiu, Danna Gurari:
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models. CVPR 2022: 7834-7843 - [c30]Chongyan Chen, Samreen Anjum, Danna Gurari:
Grounding Answers for Visual Questions Asked by Visually Impaired People. CVPR 2022: 19076-19085 - [c29]Yu-Yun Tseng, Alexander Bell, Danna Gurari:
VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments. ECCV (8) 2022: 575-591 - [c28]Tai-Yin Chiu, Danna Gurari:
PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals. WACV 2022: 2978-2987 - [i19]Chongyan Chen, Samreen Anjum, Danna Gurari:
Grounding Answers for Visual Questions Asked by Visually Impaired People. CoRR abs/2202.01993 (2022) - [i18]Tai-Yin Chiu, Danna Gurari:
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models. CoRR abs/2203.13452 (2022) - [i17]Yu-Yun Tseng, Alexander Bell, Danna Gurari:
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments. CoRR abs/2207.11810 (2022) - [i16]Tai-Yin Chiu, Danna Gurari:
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer. CoRR abs/2210.05996 (2022) - 2021
- [j7]Jakki O. Bailey, Barkha Patel, Danna Gurari:
A Perspective on Building Ethical Datasets for Children's Conversational Agents. Frontiers Artif. Intell. 4: 637532 (2021) - [j6]Samreen Anjum, Ambika Verma, Brandon Dang, Danna Gurari:
Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images. Hum. Comput. 8(2): 76-106 (2021) - [c27]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: 16:1-16:15 - [i15]Tai-Yin Chiu, Danna Gurari:
PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals. CoRR abs/2110.11995 (2021) - [i14]Josh Myers-Dean, Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning. CoRR abs/2112.10982 (2021) - 2020
- [j5]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): 105:1-105:26 (2020) - [j4]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): 149:1-149:31 (2020) - [j3]Samreen Anjum, Chi Lin, Danna Gurari:
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos. Proc. ACM Hum. Comput. Interact. 4(CSCW3): 1-25 (2020) - [c26]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 - [c25]Abigale Stangl, Kristina Shiroma, Bo Xie, Kenneth R. Fleischmann, Danna Gurari:
Visual Content Considered Private by People Who are Blind. ASSETS 2020: 31:1-31:12 - [c24]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: 1-13 - [c23]Tai-Yin Chiu, Yinan Zhao, Danna Gurari:
Assessing Image Quality Issues for Real-World Problems. CVPR 2020: 3643-3653 - [c22]Samreen Anjum, Danna Gurari:
CTMC: Cell Tracking with Mitosis Detection Dataset Challenge. CVPR Workshops 2020: 4228-4237 - [c21]Tai-Yin Chiu, Danna Gurari:
Iterative Feature Transformation for Fast and Versatile Universal Style Transfer. ECCV (19) 2020: 169-184 - [c20]Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya:
Captioning Images Taken by People Who Are Blind. ECCV (17) 2020: 417-434 - [i13]Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya:
Captioning Images Taken by People Who Are Blind. CoRR abs/2002.08565 (2020) - [i12]Tai-Yin Chiu, Yinan Zhao, Danna Gurari:
Assessing Image Quality Issues for Real-World Problems. CoRR abs/2003.12511 (2020) - [i11]Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Objectness-Aware One-Shot Semantic Segmentation. CoRR abs/2004.02945 (2020) - [i10]Samreen Anjum, Chi Lin, Danna Gurari:
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos. CoRR abs/2009.14265 (2020) - [i9]Xiaoyu Zeng, Yanan Wang, Tai-Yin Chiu, Nilavra Bhattacharya, Danna Gurari:
Vision Skills Needed to Answer Visual Questions. CoRR abs/2010.03160 (2020)
2010 – 2019
- 2019
- [j2]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): 1198-1216 (2019) - [c19]Anubrata Das, Samreen Anjum, Danna Gurari:
Dataset bias: A case study for visual question answering. ASIST 2019: 58-67 - [c18]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: 461-467 - [c17]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: 939-948 - [c16]Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Unconstrained Foreground Object Search. ICCV 2019: 2030-2039 - [c15]Nilavra Bhattacharya, Qing Li, Danna Gurari:
Why Does a Visual Question Have Different Answers? ICCV 2019: 4270-4279 - [c14]Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Guided Image Inpainting: Replacing an Image Region by Pulling Content From Another Image. WACV 2019: 1514-1523 - [i8]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 abs/1905.00060 (2019) - [i7]Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Unconstrained Foreground Object Search. CoRR abs/1908.03675 (2019) - [i6]Nilavra Bhattacharya, Qing Li, Danna Gurari:
Why Does a Visual Question Have Different Answers? CoRR abs/1908.04342 (2019) - [i5]Nilavra Bhattacharya, Danna Gurari:
VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets. CoRR abs/1912.09336 (2019) - 2018
- [j1]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): 714-730 (2018) - [c13]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: 107-118 - [c12]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: 3608-3617 - [c11]Chun-Ju Yang, Kristen Grauman, Danna Gurari:
Visual Question Answer Diversity. HCOMP 2018: 184-192 - [c10]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: 282-286 - [i4]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 abs/1802.08218 (2018) - [i3]Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image. CoRR abs/1803.08435 (2018) - 2017
- [c9]Danna Gurari, Kristen Grauman:
CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question. CHI 2017: 3511-3522 - [c8]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: 157-166 - [i2]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 abs/1705.00366 (2017) - 2016
- [c7]Danna Gurari, Suyog Dutt Jain, Margrit Betke, Kristen Grauman:
Pull the Plug? Predicting If Computers or Humans Should Segment Images. CVPR 2016: 382-391 - [c6]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: 1380-1389 - [c5]Danna Gurari, Mehrnoosh Sameki, Margrit Betke:
Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. HCOMP 2016: 59-68 - [i1]Danna Gurari, Kristen Grauman:
Visual Question: Predicting If a Crowd Will Agree on the Answer. CoRR abs/1608.08188 (2016) - 2015
- [b1]Danna Gurari:
Combining crowd worker, algorithm, and expert efforts to find boundaries of objects in images. Boston University, USA, 2015 - [c4]Mehrnoosh Sameki, Danna Gurari, Margrit Betke:
Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior. HCOMP 2015: 30-31 - [c3]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: 1169-1176 - 2013
- [c2]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: 475-481 - 2012
- [c1]Zheng Wu, Danna Gurari, Joyce Y. Wong, Margrit Betke:
Hierarchical Partial Matching and Segmentation of Interacting Cells. MICCAI (1) 2012: 389-396
Coauthor Index
aka: Abigale J. Stangl
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last updated on 2024-11-15 19:32 CET by the dblp team
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