Bottom-up and top-down attention for image captioning and VQA P Anderson, X He, C Buehler, D Teney, M Johnson, S Gould, L Zhang arXiv preprint arXiv:1707.07998, 2017 | 5329* | 2017 |
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments P Anderson, Q Wu, D Teney, J Bruce, M Johnson, N Sünderhauf, I Reid, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1289 | 2018 |
Graph-structured representations for visual question answering D Teney, L Liu, A van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 474 | 2017 |
Tips and tricks for visual question answering: Learnings from the 2017 challenge D Teney, P Anderson, X He, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 467 | 2018 |
Visual question answering: A survey of methods and datasets Q Wu, D Teney, P Wang, C Shen, A Dick, A van den Hengel Computer Vision and Image Understanding 163, 21-40, 2017 | 449 | 2017 |
On the value of out-of-distribution testing: An example of goodhart's law D Teney, E Abbasnejad, K Kafle, R Shrestha, C Kanan, ... Advances in neural information processing systems 33, 407-417, 2020 | 144 | 2020 |
Image retrieval on real-life images with pre-trained vision-and-language models Z Liu, C Rodriguez-Opazo, D Teney, S Gould Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 137 | 2021 |
Counterfactual vision and language learning E Abbasnejad, D Teney, A Parvaneh, J Shi, A Hengel Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 132 | 2020 |
Learning what makes a difference from counterfactual examples and gradient supervision D Teney, E Abbasnedjad, A van den Hengel Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 123 | 2020 |
Unshuffling data for improved generalization in visual question answering D Teney, E Abbasnejad, A van den Hengel Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 100 | 2021 |
Active learning by feature mixing A Parvaneh, E Abbasnejad, D Teney, GR Haffari, A Van Den Hengel, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 84 | 2022 |
Learning to extract motion from videos in convolutional neural networks D Teney, M Hebert Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 82 | 2017 |
Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood generalization D Teney, E Abbasnejad, S Lucey, A Van den Hengel Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 78 | 2022 |
Beyond question-based biases: Assessing multimodal shortcut learning in visual question answering C Dancette, R Cadene, D Teney, M Cord Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 74 | 2021 |
Zero-shot visual question answering D Teney, A Hengel arXiv preprint arXiv:1611.05546, 2016 | 62 | 2016 |
Visual Question Answering as a Meta Learning Task D Teney, A van den Hengel European Conference on Computer Vision, 2018 | 47 | 2018 |
Visual question answering: A tutorial D Teney, Q Wu, A van den Hengel IEEE Signal Processing Magazine 34 (6), 63-75, 2017 | 41 | 2017 |
ID and OOD performance are sometimes inversely correlated on real-world datasets D Teney, Y Lin, SJ Oh, E Abbasnejad Advances in Neural Information Processing Systems 36, 2024 | 37 | 2024 |
Counterfactual vision-and-language navigation: Unravelling the unseen A Parvaneh, E Abbasnejad, D Teney, JQ Shi, A Van den Hengel Advances in neural information processing systems 33, 5296-5307, 2020 | 37 | 2020 |
Reasoning over vision and language: Exploring the benefits of supplemental knowledge V Shevchenko, D Teney, A Dick, A Hengel Workshop at EACL on Beyond Vision and LANguage: inTEgrating Real-world …, 2021 | 34 | 2021 |