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Damien Teney
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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
5711*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
14342018
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
4972017
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
4872017
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
4842018
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
1792021
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
1602020
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
1482020
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
1342020
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
1142021
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
1102022
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
932022
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
842021
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
832017
Zero-shot visual question answering
D Teney, A Hengel
arXiv preprint arXiv:1611.05546, 2016
642016
Visual Question Answering as a Meta Learning Task
D Teney, A van den Hengel
European Conference on Computer Vision, 2018
472018
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
442024
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
442020
Visual question answering: A tutorial
D Teney, Q Wu, A van den Hengel
IEEE Signal Processing Magazine 34 (6), 63-75, 2017
412017
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
362021
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