Explaining CLIP’s performance disparities on data from blind/low vision users
Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
2024 Computer Vision and Pattern Recognition | June 2024
Teachable AI Experiences (Tai X)
Publications
Publications by Year
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Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S. Basu, Daniela Massiceti, S. Hu, S. Feizi
AAAI Conference on Artificial Intelligence | February 2024
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Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
ASSETS 2023 | October 2023
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
2023 International Conference on Learning Representations | May 2023
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NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
ICML 2022 | July 2022
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Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
NeurIPS 2021 | December 2021
Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ICCV 2021 | October 2021
Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Marques, Camilla Longden, Abigail Sellen
ASSETS 2021 | October 2021
Best Paper Nominee
Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Marques, Abigail Sellen, Sebastian Tschiatschek
The CHI Conference on Human Factors in Computing Systems | April 2021
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“I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
2018 Human Factors in Computing Systems | April 2018
Publications by Research Area
-
Explaining CLIP’s performance disparities on data from blind/low vision users
Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
2024 Computer Vision and Pattern Recognition | June 2024
Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S. Basu, Daniela Massiceti, S. Hu, S. Feizi
AAAI Conference on Artificial Intelligence | February 2024
Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
ASSETS 2023 | October 2023
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
2023 International Conference on Learning Representations | May 2023
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
ICML 2022 | July 2022
Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
NeurIPS 2021 | December 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ICCV 2021 | October 2021
Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Marques, Abigail Sellen, Sebastian Tschiatschek
The CHI Conference on Human Factors in Computing Systems | April 2021
-
Explaining CLIP’s performance disparities on data from blind/low vision users
Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
2024 Computer Vision and Pattern Recognition | June 2024
Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S. Basu, Daniela Massiceti, S. Hu, S. Feizi
AAAI Conference on Artificial Intelligence | February 2024
Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
ASSETS 2023 | October 2023
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
2023 International Conference on Learning Representations | May 2023
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
ICML 2022 | July 2022
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ICCV 2021 | October 2021
Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Marques, Camilla Longden, Abigail Sellen
ASSETS 2021 | October 2021
Best Paper Nominee
Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Marques, Abigail Sellen, Sebastian Tschiatschek
The CHI Conference on Human Factors in Computing Systems | April 2021
-
Explaining CLIP’s performance disparities on data from blind/low vision users
Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
2024 Computer Vision and Pattern Recognition | June 2024
Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
ASSETS 2023 | October 2023
Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ICCV 2021 | October 2021
Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Marques, Camilla Longden, Abigail Sellen
ASSETS 2021 | October 2021
Best Paper Nominee
Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Marques, Abigail Sellen, Sebastian Tschiatschek
The CHI Conference on Human Factors in Computing Systems | April 2021
“I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
2018 Human Factors in Computing Systems | April 2018
Publications by Type
-
Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
-
Explaining CLIP’s performance disparities on data from blind/low vision users
Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
2024 Computer Vision and Pattern Recognition | June 2024
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S. Basu, Daniela Massiceti, S. Hu, S. Feizi
AAAI Conference on Artificial Intelligence | February 2024
Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
ASSETS 2023 | October 2023
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
2023 International Conference on Learning Representations | May 2023
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
ICML 2022 | July 2022
Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
NeurIPS 2021 | December 2021
Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ICCV 2021 | October 2021
Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Marques, Camilla Longden, Abigail Sellen
ASSETS 2021 | October 2021
Best Paper Nominee
Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Marques, Abigail Sellen, Sebastian Tschiatschek
The CHI Conference on Human Factors in Computing Systems | April 2021
“I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
2018 Human Factors in Computing Systems | April 2018