Damien Teney
Cited by
Cited by
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
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
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
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
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
Learning to extract motion from videos in convolutional neural networks
D Teney, M Hebert
Asian Conference on Computer Vision, 412-428, 2016
Zero-shot visual question answering
D Teney, A Hengel
arXiv preprint arXiv:1611.05546, 2016
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
On the value of out-of-distribution testing: An example of goodhart's law
D Teney, K Kafle, R Shrestha, E Abbasnejad, C Kanan, A Hengel
arXiv preprint arXiv:2005.09241, 2020
Visual question answering: A tutorial
D Teney, Q Wu, A van den Hengel
IEEE Signal Processing Magazine 34 (6), 63-75, 2017
Visual Question Answering as a Meta Learning Task
D Teney, A van den Hengel
European Conference on Computer Vision, 2018
Multiview feature distributions for object detection and continuous pose estimation
D Teney, J Piater
Computer Vision and Image Understanding 125, 265-282, 2014
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
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
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
Unshuffling Data for Improved Generalization
D Teney, E Abbasnejad, A Hengel
arXiv preprint arXiv:2002.11894, 2020
Multi-scale convolutional architecture for semantic segmentation
A Raj, D Maturana, S Scherer
Robotics Institute, Carnegie Mellon University, Tech. Rep. CMU-RITR-15-21, 2015
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
Sampling-based multiview reconstruction without correspondences for 3D edges
D Teney, J Piater
2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012
V-prom: A benchmark for visual reasoning using visual progressive matrices
D Teney, P Wang, J Cao, L Liu, C Shen, A van den Hengel
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12071 …, 2020
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