| 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, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18), 2017 | 393 | 2017 |
| What value do explicit high level concepts have in vision to language problems? Q Wu, C Shen, L Liu, A Dick, A Hengel IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), 2016 | 373 | 2016 |
| Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources Q Wu, P Wang, C Shen, A Hengel, A Dick IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), 2016 | 291 | 2016 |
| Image Captioning and Visual Question Answering Based on Attributes and External Knowledge Q Wu, C Shen, P Wang, A Dick, A van den Hengel IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017 | 242 | 2017 |
| Visual question answering: A survey of methods and datasets Q Wu, D Teney, P Wang, C Shen, A Dick, A Hengel Computer Vision and Image Understanding (CVIU), 2017 | 206 | 2017 |
| Fvqa: Fact-based visual question answering P Wang, Q Wu, C Shen, A Hengel, A Dick IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017 | 164 | 2017 |
| Learning Semantic Concepts and Order for Image and Sentence Matching Y Huang, Q Wu, C Song, L Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18), 2017 | 128 | 2017 |
| Explicit knowledge-based reasoning for visual question answering P Wang, Q Wu, C Shen, A Hengel, A Dick International Joint Conference on Artificial Intelligence (IJCAI'17), 2017 | 116 | 2017 |
| Multilabel image classification with regional latent semantic dependencies J Zhang, Q Wu, C Shen, J Zhang, J Lu IEEE Transactions on Multimedia 20 (10), 2801-2813, 2018 | 87 | 2018 |
| Medical image classification using synergic deep learning J Zhang, Y Xie, Q Wu, Y Xia Medical image analysis 54, 10-19, 2019 | 78 | 2019 |
| Visual grounding via accumulated attention C Deng, Q Wu, Q Wu, F Hu, F Lyu, M Tan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 78 | 2018 |
| Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning Q Wu, P Wang, C Shen, I Reid, A Hengel IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18), 2017 | 78 | 2017 |
| The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions P Wang, Q Wu, C Shen, A Hengel IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17), 2017 | 71 | 2017 |
| Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks P Wang, Q Wu, J Cao, C Shen, L Gao, A Hengel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 65 | 2019 |
| Visual question answering with memory-augmented networks C Ma, C Shen, A Dick, Q Wu, P Wang, A van den Hengel, I Reid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 55 | 2018 |
| Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries B Zhuang, Q Wu, C Shen, I Reid, A Hengel IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18), 2017 | 42 | 2017 |
| The cross-depiction problem: Computer vision algorithms for recognising objects in artwork and in photographs H Cai, Q Wu, T Corradi, P Hall arXiv preprint arXiv:1505.00110, 2015 | 35 | 2015 |
| REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments Y Qi, Q Wu, P Anderson, X Wang, WY Wang, C Shen, A van den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 29 | 2020 |
| Goal-oriented visual question generation via intermediate rewards J Zhang, Q Wu, C Shen, J Zhang, J Lu, A Van Den Hengel Proceedings of the European Conference on Computer Vision (ECCV), 186-201, 2018 | 27* | 2018 |
| Learning graphs to model visual objects across different depictive styles Q Wu, H Cai, P Hall European Conference on Computer Vision (ECCV'14), 313-328, 2014 | 26 | 2014 |
Anton van den HengelDirector, Australian Institute for Machine Learning, UoA | Director of Applied Science, AmazonVerified email at adelaide.edu.au
