Daniela Massiceti
Daniela Massiceti
Microsoft Research
Verified email at - Homepage
Cited by
Cited by
Random forests versus Neural Networks—What's best for camera localization?
D Massiceti, A Krull, E Brachmann, C Rother, PHS Torr
2017 IEEE International Conference on Robotics and Automation (ICRA), 5118-5125, 2017
Bottom-up top-down cues for weakly-supervised semantic segmentation
Q Hou, D Massiceti, PK Dokania, Y Wei, MM Cheng, P Torr
2017 Conference on Energy Minimization Methods in Computer Vision and …, 2016
Stereosonic vision: Exploring visual-to-auditory sensory substitution mappings in an immersive virtual reality navigation paradigm
D Massiceti, SL Hicks, JJ van Rheede
PloS one 13 (7), e0199389, 2018
FlipDial: A generative model for two-way visual dialogue
D Massiceti, N Siddharth, PK Dokania, PHS Torr
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
D Massiceti, L Zintgraf, J Bronskill, L Theodorou, MT Harris, E Cutrell, ...
Proceedings of the IEEE International Conference on Computer Vision 2021, 2021
Visual dialogue without vision or dialogue
D Massiceti, PK Dokania, N Siddharth, PHS Torr
NeurIPS Workshop on Critiquing and Correcting Trends in Machine Learning 2019, 2018
Memory efficient meta-learning with large images
J Bronskill, D Massiceti, M Patacchiola, K Hofmann, S Nowozin, R Turner
Advances in Neural Information Processing Systems 34, 24327-24339, 2021
Disability-first dataset creation: Lessons from constructing a dataset for teachable object recognition with blind and low vision data collectors
L Theodorou, D Massiceti, L Zintgraf, S Stumpf, C Morrison, E Cutrell, ...
Proceedings of the 23rd International ACM SIGACCESS Conference on Computers …, 2021
A dynamic AI system for extending the capabilities of blind people
M Grayson, A Thieme, R Marques, D Massiceti, E Cutrell, C Morrison
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
Np-match: When neural processes meet semi-supervised learning
J Wang, T Lukasiewicz, D Massiceti, X Hu, V Pavlovic, A Neophytou
International Conference on Machine Learning, 22919-22934, 2022
ORBIT: A real-world few-shot dataset for teachable object recognition collected from people who are blind or low vision
D Massiceti, L Theodorou, L Zintgraf, MT Harris, S Stumpf, C Morrison, ...
URL https://doi. org/10.25383/city 14294597, 2021
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S Basu, D Massiceti, SX Hu, S Feizi
arXiv preprint arXiv:2304.01917, 2023
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
S Basu, M Stanley, JF Bronskill, S Feizi, D Massiceti
The Eleventh International Conference on Learning Representations, 2022
VizWiz grand challenge workshop at CVPR 2022
D Massiceti, S Anjum, D Gurari
ACM SIGACCESS Accessibility and Computing, 1-1, 2022
Augmenting CLIP with Improved Visio-Linguistic Reasoning
S Basu, M Sanjabi, D Massiceti, SX Hu, S Feizi
arXiv preprint arXiv:2307.09233, 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
J Wang, D Massiceti, X Hu, V Pavlovic, T Lukasiewicz
A Revised Generative Evaluation of Visual Dialogue
D Massiceti, V Kulharia, PK Dokania, N Siddharth, PHS Torr
arXiv preprint arXiv:2004.09272, 2020
Computer vision and natural language processing for people with vision impairment
D Massiceti
University of Oxford, 2019
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