| 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 | 333 | 2016 |
| 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 | 301 | 2017 |
| 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 | 261 | 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 | 193 | 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 | 175 | 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 | 127 | 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 | 106 | 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 | 94 | 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 | 71 | 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 | 65 | 2017 |
| 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 | 61 | 2018 |
| 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 | 56 | 2017 |
| 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 | 47 | 2018 |
| 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 Conference on Computer Vision and Pattern …, 2019 | 44 | 2019 |
| 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 | 31 | 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 | 27 | 2015 |
| 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 | 24* | 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 | 23 | 2014 |
| Cross-depiction problem: Recognition and synthesis of photographs and artwork P Hall, H Cai, Q Wu, T Corradi Computational Visual Media 1 (2), 91-103, 2015 | 17 | 2015 |
| Hcvrd: a benchmark for large-scale human-centered visual relationship detection B Zhuang, Q Wu, C Shen, I Reid, A van den Hengel Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 14 | 2018 |
Anton van den HengelDirector, Australian Institute for Machine Learning, UoA | Director of Applied Science, AmazonVerified email at adelaide.edu.au
