Damien Teney
Damien Teney
University of Adelaide, Australian Institute for Machine Learning (AIML)
Vahvistettu sähköpostiosoite verkkotunnuksessa adelaide.edu.au - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1567*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
3572018
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
2162018
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
1912017
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
1782017
Learning to extract motion from videos in convolutional neural networks
D Teney, M Hebert
Asian Conference on Computer Vision, 412-428, 2016
572016
Zero-shot visual question answering
D Teney, A Hengel
arXiv preprint arXiv:1611.05546, 2016
332016
Multiview feature distributions for object detection and continuous pose estimation
D Teney, J Piater
Computer Vision and Image Understanding 125, 265-282, 2014
222014
Visual Question Answering as a Meta Learning Task
D Teney, A van den Hengel
European Conference on Computer Vision, 2018
202018
Learning similarity metrics for dynamic scene segmentation
D Teney, M Brown, D Kit, P Hall
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
162015
Continuous pose estimation in 2d images at instance and category levels
D Teney, J Piater
2013 International Conference on Computer and Robot Vision, 121-127, 2013
162013
Visual question answering: A tutorial
D Teney, Q Wu, A van den Hengel
IEEE Signal Processing Magazine 34 (6), 63-75, 2017
152017
Hand parsing for fine-grained recognition of human grasps in monocular images
A Saran, D Teney, KM Kitani
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
132015
Sampling-based multiview reconstruction without correspondences for 3D edges
D Teney, J Piater
2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012
132012
Unshuffling Data for Improved Generalization
D Teney, E Abbasnejad, A Hengel
arXiv preprint arXiv:2002.11894, 2020
102020
Learning what makes a difference from counterfactual examples and gradient supervision
D Teney, E Abbasnedjad, A Hengel
arXiv preprint arXiv:2004.09034, 2020
92020
Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies.
D Teney, M Brown
BMVC 9, 2, 2014
92014
A hierarchical bayesian network for face recognition using 2d and 3d facial data
I Abbasnejad, D Teney
2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015
72015
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
62020
Actively seeking and learning from live data
D Teney, A Hengel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
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