Daniela Massiceti

According to our database, Daniela Massiceti authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning.

Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explaining CLIP's performance disparities on data from blind/low vision users.

Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison

CoRR, 2023

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods.

Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi

CoRR, 2023

Augmenting CLIP with Improved Visio-Linguistic Reasoning.

Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi

CoRR, 2023

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation.

Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz

Proceedings of the International Conference on Machine Learning, 2023

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks.

Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision.

Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Linda Wen, Edward Cutrell

Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 2023

2022

NP-Match: When Neural Processes meet Semi-Supervised Learning.

Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou

Proceedings of the International Conference on Machine Learning, 2022

2021

Memory Efficient Meta-Learning with Large Images.

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition.

Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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 M. Zintgraf, Simone Stumpf, Cecily Morrison, Edward Cutrell, Matthew Tobias Harris, Katja Hofmann

Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

2020

A Revised Generative Evaluation of Visual Dialogue.

Daniela Massiceti, Viveka Kulharia, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr

CoRR, 2020

A Dynamic AI System for Extending the Capabilities of Blind People.

Martin Grayson, Anja Thieme, Rita Faia Marques, Daniela Massiceti, Ed Cutrell, Cecily Morrison

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Computer vision and natural language processing for people with vision impairment.

Daniela Massiceti

PhD thesis, 2019

2018

Visual Dialogue without Vision or Dialogue.

Daniela Massiceti, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr

CoRR, 2018

FlipDial: A Generative Model for Two-Way Visual Dialogue.

Daniela Massiceti, N. Siddharth, Puneet Kumar Dokania, Philip H. S. Torr

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Random forests versus Neural Networks - What's best for camera localization?

Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation.

Qibin Hou, Daniela Massiceti, Puneet Kumar Dokania, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016

Random Forests versus Neural Networks - What's Best for Camera Relocalization?

Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr

CoRR, 2016

Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels.

Qinbin Hou, Puneet Kumar Dokania, Daniela Massiceti, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr

CoRR, 2016