| A survey of appearance models in visual object tracking X Li, W Hu, C Shen, Z Zhang, A Dick, AVD Hengel ACM transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-48, 2013 | 943 | 2013 |
| Online multi-target tracking using recurrent neural networks A Milan, SH Rezatofighi, A Dick, I Reid, K Schindler Proceedings of the AAAI conference on Artificial Intelligence 31 (1), 2017 | 683 | 2017 |
| Fvqa: Fact-based visual question answering P Wang, Q Wu, C Shen, A Dick, A Van Den Hengel IEEE transactions on pattern analysis and machine intelligence 40 (10), 2413 …, 2017 | 575 | 2017 |
| What value do explicit high level concepts have in vision to language problems? Q Wu, C Shen, L Liu, A Dick, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 562 | 2016 |
| 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 | 508 | 2017 |
| 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 40 (6), 1367-1381, 2017 | 488 | 2017 |
| Ask me anything: Free-form visual question answering based on knowledge from external sources Q Wu, P Wang, C Shen, A Dick, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 468 | 2016 |
| Joint probabilistic data association revisited SH Rezatofighi, A Milan, Z Zhang, Q Shi, A Dick, I Reid Proceedings of the IEEE international conference on computer vision, 3047-3055, 2015 | 448 | 2015 |
| Explicit knowledge-based reasoning for visual question answering P Wang, Q Wu, C Shen, A Hengel, A Dick arXiv preprint arXiv:1511.02570, 2015 | 311 | 2015 |
| Videotrace: rapid interactive scene modelling from video A Van Den Hengel, A Dick, T Thormählen, B Ward, PHS Torr ACM Transactions on Graphics (ToG) 26 (3), 86-es, 2007 | 276 | 2007 |
| Contextual hypergraph modeling for salient object detection X Li, Y Li, C Shen, A Dick, A Van Den Hengel Proceedings of the IEEE international conference on computer vision, 3328-3335, 2013 | 270 | 2013 |
| Modelling and interpretation of architecture from several images AR Dick, PHS Torr, R Cipolla International journal of computer vision 60, 111-134, 2004 | 261 | 2004 |
| Thrift: Local 3d structure recognition A Flint, A Dick, A Van Den Hengel 9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007 | 179 | 2007 |
| Learning hash functions using column generation X Li, G Lin, C Shen, A Hengel, A Dick International Conference on Machine Learning, 142-150, 2013 | 158 | 2013 |
| Combining single view recognition and multiple view stereo for architectural scenes AR Dick, PHS Torr, SJ Ruffle, R Cipolla Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 134 | 2001 |
| Probabilistic multiple cue integration for particle filter based tracking C Shen, A Van den Hengel, A Dick Australian Pattern Recognition Society 2, 2003 | 132 | 2003 |
| 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 | 130 | 2018 |
| Issues in automated visual surveillance AR Dick, MJ Brooks International conference on digital image computing: techniques and applications, 2003 | 129 | 2003 |
| Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding. C Cadena, AR Dick, ID Reid Robotics: Science and systems 5 (1), 2016 | 120 | 2016 |
| Infinite variational autoencoder for semi-supervised learning M Ehsan Abbasnejad, A Dick, A Van Den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 114 | 2017 |
