publications

2023

1. Conference Paper

   Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making

   Morrison, K., Shin, D., Holstein, K., and Perer, A.

   In ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2023

   Bib PDF

   @inproceedings{morrison2023explanations,
     bibtex_show = {true},
     abbr = {Conference Paper},
     title = {Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making},
     author = {Morrison, K. and Shin, D. and Holstein, K. and Perer, A.},
     booktitle = {ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)},
     year = {2023},
     pdf = {23_cscw_explanation_characteristics.pdf},
     selected = {true}
   }

2022

1. Workshop Paper

   Towards Generating Human-Centered Saliency Maps without Sacrificing Accuracy

   Aswal, V., Kao, G., Kim, S. Y., and Morrison, K.

   NeuroVision2022: What can computer vision learn from visual neuroscience? Workshop at CVPR 2022

   Bib HTML PDF Slides

   @article{morrison2022saliency,
     bibtex_show = {true},
     abbr = {Workshop Paper},
     title = {Towards Generating Human-Centered Saliency Maps without Sacrificing Accuracy},
     author = {Aswal, V. and Kao, G. and Kim, S. Y. and Morrison, K.},
     journal = {NeuroVision2022: What can computer vision learn from visual neuroscience? Workshop at CVPR},
     year = {2022},
     url = {#},
     html = {http://katelyn98.github.io/blog/2022/vlr-project/},
     pdf = {19_CameraReady_CVPR2022_NeuroVision_SHORT_CameraReady.pdf},
     slides = {CVPR_Lightning_Talk.pdf}
   }

2021

1. Workshop Paper

   Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers

   Morrison, K., Gilby, B., Lipchak, C., Mattioli, A., and Kovashka, A.

   Uncertainty and Robustness in Deep Learning Workshop at ICML 2021

   Bib HTML PDF Code

   @article{morrison2021exploring,
     bibtex_show = {true},
     abbr = {Workshop Paper},
     title = {Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers},
     author = {Morrison, K. and Gilby, B. and Lipchak, C. and Mattioli, A. and Kovashka, A.},
     journal = {Uncertainty and Robustness in Deep Learning Workshop at ICML},
     year = {2021},
     url = {https://arxiv.org/abs/2106.13122},
     html = {https://arxiv.org/abs/2106.13122},
     pdf = {exploring_corruption.pdf},
     code = {https://github.com/katelyn98/CorruptionRobustness}
   }

2020

1. Workshop Paper

   Using Object Tracking Techniques to Non-Invasively Measure Thoracic Rotation Range of Motion

   Morrison, K., Yates, D., Roman, M., and Clark, W. W.

   In Companion Publication of the 2020 International Conference on Multimodal Interaction 2020

   Bib HTML PDF Code

   @inproceedings{morrison2020using,
     bibtex_show = {true},
     abbr = {Workshop Paper},
     title = {Using Object Tracking Techniques to Non-Invasively Measure Thoracic Rotation Range of Motion},
     author = {Morrison, K. and Yates, D. and Roman, M. and Clark, W. W.},
     booktitle = {Companion Publication of the 2020 International Conference on Multimodal Interaction},
     pages = {150--155},
     year = {2020},
     url = {https://dl.acm.org/doi/abs/10.1145/3395035.3425189},
     code = {https://github.com/katelyn98/CalcTorso-OpenCV},
     html = {https://dl.acm.org/doi/abs/10.1145/3395035.3425189},
     pdf = {Using_Object_Tracking_Techniques_to_Non_Invasively_Measure_Thoracic_Rotation_Range_of_Motion.pdf}
   }

2. Workshop Paper

   Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems

   Morrison, K.

   AI for Social Good Workshop at IJCAI-PRICAI 2020

   Bib HTML

   @article{morrison2020reducing,
     bibtex_show = {true},
     abbr = {Workshop Paper},
     title = {Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems},
     author = {Morrison, K.},
     journal = {AI for Social Good Workshop at IJCAI-PRICAI},
     year = {2020},
     url = {https://arxiv.org/abs/2011.13988},
     html = {https://arxiv.org/abs/2011.13988}
   }