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)

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)

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 (EMMCVPR, 2017)

Random forests versus Neural Networks - What's best for camera localization? - Daniela Massiceti; Alexander Krull; Eric Brachmann; Carsten Rother; Philip H. S. Torr (ICRA, 2017)

FlipDial: A Generative Model for Two-Way Visual Dialogue. - Daniela Massiceti; N. Siddharth 001; Puneet Kumar Dokania; Philip H. S. Torr (CVPR, 2018)

Visual Dialogue without Vision or Dialogue. - Daniela Massiceti; Puneet K. Dokania; N. Siddharth 001; Philip H. S. Torr (CoRR, 2018)

Computer vision and natural language processing for people with vision impairment. - Daniela Massiceti (2019)

A Dynamic AI System for Extending the Capabilities of Blind People. - Martin Grayson; Anja Thieme; Rita Faia Marques; Daniela Massiceti; Ed Cutrell; Cecily Morrison (CHI Extended Abstracts, 2020)

A Revised Generative Evaluation of Visual Dialogue. - Daniela Massiceti; Viveka Kulharia; Puneet K. Dokania; N. Siddharth 001; Philip H. S. Torr (CoRR, 2020)

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 (ASSETS, 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 (ICCV, 2021)

Memory Efficient Meta-Learning with Large Images. - John Bronskill; Daniela Massiceti; Massimiliano Patacchiola; Katja Hofmann; Sebastian Nowozin; Richard E. Turner (NeurIPS, 2021)

NP-Match: When Neural Processes meet Semi-Supervised Learning. - Jianfeng Wang; Thomas Lukasiewicz; Daniela Massiceti; Xiaolin Hu 001; Vladimir Pavlovic 001; Alexandros Neophytou (ICML, 2022)

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 (ASSETS, 2023)

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks. - Samyadeep Basu; Megan Stanley; John Bronskill; Soheil Feizi; Daniela Massiceti (ICLR, 2023)

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. - Jianfeng Wang; Daniela Massiceti; Xiaolin Hu 001; Vladimir Pavlovic 001; Thomas Lukasiewicz (ICML, 2023)

Augmenting CLIP with Improved Visio-Linguistic Reasoning. - Samyadeep Basu; Maziar Sanjabi; Daniela Massiceti; Shell Xu Hu; Soheil Feizi (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)

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. - Samyadeep Basu; Shell Xu Hu; Daniela Massiceti; Soheil Feizi (AAAI, 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 Faia Marques; Daniela Massiceti; Camilla Longden; Edward Cutrell (CHI Extended Abstracts, 2024)

Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users. - Daniela Massiceti; Camilla Longden; Agnieszka Slowik; Samuel Wills; Martin Grayson; Cecily Morrison (CVPR, 2024)

Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. - Samyadeep Basu; Shell Xu Hu; Maziar Sanjabi; Daniela Massiceti; Soheil Feizi (EMNLP, 2024)

Understanding Information Storage and Transfer in Multi-Modal Large Language Models. - Samyadeep Basu; Martin Grayson; Cecily Morrison; Besmira Nushi; Soheil Feizi; Daniela Massiceti (NeurIPS, 2024)

The ORBIT (Object Recognition for Blind Image Training)-India Dataset. - Gesu India; Martin Grayson; Daniela Massiceti; Cecily Morrison; Simon Robinson 001; Jennifer Pearson 001; Matt Jones 001 (Zenodo, 2024)