T. Chiu and D. Gurari. "Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer." IEEE Winter conference on Applications in Computer Vision (WACV), January 2023.
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Y. Tseng, A. Bell, and D. Gurari. "VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments." European Conference on Computer Vision (ECCV), October, 2022.
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T. Chiu and D. Gurari. "PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2022.
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C. Chen, S. Anjum, and D. Gurari. "Grounding Answers for Visual Questions Asked by Visually Impaired People." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2022. [Oral Presentation]
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A. Stangl, K. Shiroma, N. Davis, B. Xie, K. R. Fleischmann, L. Findlater, and D. Gurari. "Privacy Concerns for Visual Assistance Technologies." ACM Transactions on Accessible Computing, February 2022.
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T. Chiu and D. Gurari. "PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting From Blockwise Training and Skip Connections of High-Frequency Residuals." IEEE Winter conference on Applications in Computer Vision (WACV), January 2022.
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A. Stangl, N. Verma, K. R. Fleischmann, M. R. Morris, and D. Gurari. "Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision." ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), October 2021.
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S. Anjum, A. Verma, B. Dang, and D. Gurari. “Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images.” Human Computation Journal, 2021.
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J. Bailey, B. Patel, and D. Gurari. "A Perspective on Building Ethical Datasets for Children's Conversational Agents." Frontiers in Artificial Intelligence, 2021.
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S. Anjum, C. Lin, and D. Gurari. "CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos." Proceedings of the ACM on Human Computer Interaction (PACM HCI), 2021.
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X. Zeng, Y. Wang, T. Chiu, N. Bhattacharya, and D. Gurari. "Vision Skills Needed to Answer Visual Questions." Proceedings of the ACM on Human Computer Interaction (PACM HCI), 2020. [Best Paper Honorable Mention]
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R. Simons, D. Gurari, and K. R. Fleischmann. "'I Hope This Is Helpful': Understanding Crowdworkers' Challenges and Motivations for an Image Description Task." Proceedings of the ACM on Human Computer Interaction (PACM HCI), 2020.
A. Stangl, K. Shiroma, B. Xie, K. R. Fleischmann, and D. Gurari. "Visual Content Considered Private by People Who Are Blind." ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), October, 2020.
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N. Davis, D. Gurari, and B. Xie. "Quality of Images Showing Medication Packaging from Individuals with Vision Impairments: Implications for the Design of Visual Question Answering Applications." Association for Information Science and Technology (ASIS&T), October, 2020. [SIG-USE Innovation Award]
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T. Chiu and D. Gurari. "Iterative Feature Transformation for Fast and Versatile Universal Style Transfer." European Conference on Computer Vision (ECCV), August, 2020.
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D. Gurari, Y. Zhao, M. Zhang, and N. Bhattacharya. "Captioning Images Taken by People Who Are Blind." European Conference on Computer Vision (ECCV), August, 2020.
Y. Zhao, B. Price, S. Cohen, and D. Gurari. "Objectness-Aware One-Shot Semantic Segmentation." arXiv, April, 2020.
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S. Anjum and D. Gurari. "CTMC: Cell Tracking with Mitosis Detection Dataset Challenge." CVPR Computer Vision for Microscopy Image Analysis (CVMI) Workshop, June, 2020.
T. Chiu, Y. Zhao, and D. Gurari. "Assessing Image Quality Issues for Real-World Problems." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2020.
A. Stangl, M. Morris, and D. Gurari. "'Person, Shoes, Tree. Is the Person Naked?' What People with Vision Impairments Want in Image Descriptions." ACM Conference on Human Factors in Computing Systems (CHI), April, 2020.
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Y. Zhao, B. Price, S. Cohen, and D. Gurari. "Unconstrained Foreground Object Search." IEEE International Conference on Computer Vision (ICCV), October, 2019.
N. Bhattacharya, Q. Li, and D. Gurari. "Why Does a Visual Question Have Different Answers?" IEEE International Conference on Computer Vision (ICCV), October, 2019.
A. Das, S. Anjum, and D. Gurari. "Dataset Bias: A Case Study for Visual Question Answering." Association for Information Science and Technology (ASIS&T), October, 2019.
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D. Gurari, Q. Li, C. Lin, Y. Zhao, A. Guo, A. Stangl, and J. Bigham. "VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2019.
| PDF | Supplementary | Website | Poster |
D. Gurari, Y. Zhao, S. D. Jain, M. Betke, and K. Grauman. "Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch." International Journal of Computer Vision (IJCV), March, 2019.
| PDF | IJCV version |
Y. Zhao, B. Price, S. Cohen, and D. Gurari. "Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image." IEEE Winter conference on Applications in Computer Vision (WACV), January, 2019.
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A. Stangl, E. Kothari, S. D. Jain, T. Yeh, K. Grauman, and D. Gurari. "BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments." ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), October, 2018.
| Code | PDF | Summary Video | Conference Presentation Video |
C. Yang, K. Grauman, and D. Gurari. "Visual Question Answer Diversity." AAAI Conference on Human Computation and Crowdsourcing (HCOMP), July, 2018.
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D. Gurari, Q. Li, A. Stangl, A. Guo, C. Lin, K. Grauman, J. Luo, and J. P. Bigham. "VizWiz Grand Challenge: Answering Visual Questions from Blind People." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2018. [Spotlight Presentation (Top 9% of 3309 submissions)]
| Website (Includes Data and Code) | PDF: arXiv Version | Poster | Video |
D. Gurari, K. He, B. Xiong, J. Zhang, M. Sameki, S. D. Jain, S. Sclaroff, M. Betke, and K. Grauman. "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)." International Journal of Computer Vision (IJCV), January 2018.
A. Banerjee, S. Ojha, and D. Gurari. "Let's Agree to Disagree: A Meta-Analysis of Disagreement Among Crowdworkers During Visual Question Answering." Workshop on Human Computation for Image and Video Analysis at AAAI Conference on Human Computation & Crowdsourcing (HCOMP GroupSight), Quebec City, Canada, October, 2017.
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M. Sameki, T. Zhang, L. Ding, M. Betke, and D. Gurari. "Crowd-O-Meter: Predicting if a Person is Vulnerable to Believe Political Claims." AAAI Conference on Human Computation & Crowdsourcing (HCOMP), Quebec City, Canada, October, 2017.
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D. Gurari and K. Grauman. "CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question." ACM Conference on Human Factors in Computing Systems (CHI), Denver, CO, May, 2017. [Awarded Honorable Mention Award (Top 5% of 2400+ submissions)]
| Project Website | Preview Video | PDF |
D. Gurari, M. Sameki, and M. Betke. "Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System." AAAI Conference on Human Computation & Crowdsourcing (HCOMP), Austin, TX, November, 2016.
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M. Sameki, M. Gentil, D. Gurari, E. Saraee, E. Hasenberg, J. Wong and M. Betke. "CrowdTrack: Interactive Tracking of Cells in Microscopy Image Sequences with Crowdsourcing Support." Workshop on Human Computation for Image and Video Analysis at AAAI Conference on Human Computation & Crowdsourcing (HCOMP GroupSight), Austin, TX, November, 2016. [Awarded Best Paper Runner-Up]
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D. Gurari, M. Sameki, Z. Wu, and M. Betke. "Mixing Crowd and Algorithm Efforts to Segment Objects in Biomedical Images." Medical Image Computing and Computer Assisted Intervention Interactive Medical Image Computation Workshop (MICCAI IMIC), Athens, Greece, October 17, 2016.
| Presentation Video | PDF |
M. Sameki, D. Gurari, and M. Betke. "ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently." CVPR Computer Vision for Microscopy Image Analysis (CVMI) Workshop, Las Vegas, NV, June, 2016.
| Presentation Video | PDF | Poster |
D. Gurari, S. D. Jain, M. Betke, and K. Grauman. "Pull the Plug? Predicting If Computers or Humans Should Segment Images." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, June, 2016.
M. Sameki, D. Gurari, and M. Betke. "Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior." AAAI Conference on Human Computation & Crowdsourcing (HCOMP), San Diego, CA, November, 2015.
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M. Sameki, D. Gurari, and M. Betke. "Characterizing Image Segmentation Behavior of the Crowd." Collective Intelligence, San Francisco, CA, June, 2015.
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D. Gurari, D. Theriault, M. Sameki, B. Isenberg, T. A. Pham, A. Purwada, P. Solski, M. Walker, C. Zhang, J. Y. Wong, and M. Betke. "How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-Experts, and Algorithms." Winter conference on Applications in Computer Vision (WACV), Big Island, HI, January, 2015.
| Project Website (Includes Code and Data) | Presentation Video | PDF | Poster | Dataset |
D. Gurari, D. Theriault, M. Sameki, and M. Betke. "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." Medical Image Computing and Computer Assisted Intervention Interactive Medical Image Computation Workshop (MICCAI IMIC), Boston, MA, September 14, 2014. [Awarded Best Paper for Innovative Idea]
| Project Website (Includes Code and Data) | Presentation Video | PDF | Code |
D. Gurari, D. Theriault, and M. Betke. "Informed Segmentation: A Framework for Using Context to Select an Algorithm and a Case Study Using Humans in the Loop." Medical Image Computing and Computer Assisted Intervention Interactive Medical Image Computation Workshop (MICCAI IMIC), Boston, MA, September 14, 2014.
| Project Website (Includes Code and Data) | Presentation Video | PDF | Code |
S. K. Kim, D. Gurari, C. Yang, C. D. Hartman, M. Jacobsen, J. Y. Wong, and M. Betke. "I'mCell: A Touch Pad Tool for Annotating Cell Images." Biomedical Signal Analysis (BSA): 3-D Imaging in Medicine, Florianopolis, Brazil, 2014.
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D. Gurari, S. Kim, E. Yang, B. Eisenberg, T. Pham, A. Purwada, P. Solski, M. Walker, J. Y. Wong, and M. Betke. "SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality." Workshop on Applications in Computer Vision (WACV), Clearwater, Florida, January 17-18, 2013. [Awarded Best Paper]
| Presentation Video | PDF | Poster | Code |
Z. Wu, D. Gurari, J. Wong, and M. Betke. "Hierarchical Partial Matching and Segmentation of Interacting Cells." Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October 1-5, 2012.
| Video Overview | PDF | Poster |
B. Kim, D. Gurari, H. O'Donnell, and M. Betke. "Interactive Art System for Multiple Users Based on Tracking Hand Movements." IADIS International Conference Interfaces and Human Computer Interaction (IHCI), Rome, Italy, July 2011.
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D. Gurari. "Harmonic Imaging Using a Mechanical Sector, B-Mode Ultrasound System." Master's Thesis, Washington University Department of Computer Science, August 2005.
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