Danna Gurari
Danna Gurari
Assistant Professor, University of Texas at Austin - Director of Image and Video Computing Group
Verified email at cs.utexas.edu - Homepage
Title
Cited by
Cited by
Year
VizWiz grand challenge: Answering visual questions from blind people
D Gurari, Q Li, AJ Stangl, A Guo, C Lin, K Grauman, J Luo, JP Bigham
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1592018
How to collect segmentations for biomedical images? A benchmark evaluating the performance of experts, crowdsourced non-experts, and algorithms
D Gurari, D Theriault, M Sameki, B Isenberg, TA Pham, A Purwada, ...
IEEE Winter conference on Applications in Computer Vision (WACV), 1169-1176, 2015
562015
Crowdverge: Predicting if people will agree on the answer to a visual question
D Gurari, K Grauman
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017
37*2017
Pull the Plug? Predicting If Computers or Humans Should Segment Images
D Gurari, S Jain, M Betke, K Grauman
Computer Vision and Pattern Recognition (CVPR), 2016
292016
Guided image inpainting: Replacing an image region by pulling content from another image
Y Zhao, B Price, S Cohen, D Gurari
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1514-1523, 2019
262019
Captioning images taken by people who are blind
D Gurari, Y Zhao, M Zhang, N Bhattacharya
European Conference on Computer Vision, 417-434, 2020
222020
Hierarchical partial matching and segmentation of interacting cells
Z Wu, D Gurari, JY Wong, M Betke
International Conference on Medical Image Computing and Computer-Assisted …, 2012
222012
Vizwiz-priv: A dataset for recognizing the presence and purpose of private visual information in images taken by blind people
D Gurari, Q Li, C Lin, Y Zhao, A Guo, A Stangl, JP Bigham
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
212019
Why does a visual question have different answers?
N Bhattacharya, Q Li, D Gurari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
202019
"Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions
A Stangl, MR Morris, D Gurari
182020
Visual question answer diversity
CJ Yang, K Grauman, D Gurari
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 (1), 2018
182018
Browsewithme: An online clothes shopping assistant for people with visual impairments
AJ Stangl, E Kothari, SD Jain, T Yeh, K Grauman, D Gurari
Proceedings of the 20th International ACM SIGACCESS Conference on Computers …, 2018
152018
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
D Gurari, D Theriault, M Sameki, M Betke
Conference on medical image computing and computer assisted intervention …, 2014
152014
Investigating the influence of data familiarity to improve the design of a crowdsourcing image annotation system
D Gurari, M Sameki, M Betke
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (1), 2016
142016
Predicting foreground object ambiguity and efficiently crowdsourcing the segmentation (s)
D Gurari, K He, B Xiong, J Zhang, M Sameki, SD Jain, S Sclaroff, M Betke, ...
International Journal of Computer Vision 126 (7), 714-730, 2018
132018
ICORD: Intelligent Collection of Redundant Data-A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently.
M Sameki, D Gurari, M Betke
CVPR Workshops, 1380-1389, 2016
102016
Predicting quality of crowdsourced image segmentations from crowd behavior
M Sameki, D Gurari, M Betke
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (1), 2015
82015
SAGE: An approach and implementation empowering quick and reliable quantitative analysis of segmentation quality
D Gurari, SK Kim, E Yang, B Isenberg, TA Pham, A Purwada, P Solski, ...
2013 IEEE Workshop on Applications of Computer Vision (WACV), 475-481, 2013
82013
Assessing image quality issues for real-world problems
TY Chiu, Y Zhao, D Gurari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Crowd-o-meter: Predicting if a person is vulnerable to believe political claims
M Sameki, T Zhang, L Ding, M Betke, D Gurari
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 (1), 2017
62017
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Articles 1–20