| 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 | 83 | 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 | 58* | 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 | 48 | 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 | 42 | 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 | 36 | 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 | 25 | 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 | 20 | 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 | 18 | 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 | 18 | 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 | 17 | 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 | 5 | 2021 |
| Strong Baselines for Parameter Efficient Few-Shot Fine-tuning S Basu, D Massiceti, SX Hu, S Feizi arXiv preprint arXiv:2304.01917, 2023 | 3 | 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 | 2 | 2022 |
| VizWiz grand challenge workshop at CVPR 2022 D Massiceti, S Anjum, D Gurari ACM SIGACCESS Accessibility and Computing, 1-1, 2022 | 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 | | 2023 |
| NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation J Wang, D Massiceti, X Hu, V Pavlovic, T Lukasiewicz | | 2023 |
| A Revised Generative Evaluation of Visual Dialogue D Massiceti, V Kulharia, PK Dokania, N Siddharth, PHS Torr arXiv preprint arXiv:2004.09272, 2020 | | 2020 |
| Computer vision and natural language processing for people with vision impairment D Massiceti University of Oxford, 2019 | | 2019 |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
