| 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 | 727 | 2013 |
| Online multi-target tracking using recurrent neural networks A Milan, SH Rezatofighi, A Dick, I Reid, K Schindler arXiv preprint arXiv:1604.03635, 2016 | 330 | 2016 |
| 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 | 326 | 2016 |
| Predicting human eye fixations via an lstm-based saliency attentive model M Cornia, L Baraldi, G Serra, R Cucchiara IEEE Transactions on Image Processing 27 (10), 5142-5154, 2018 | 310* | 2018 |
| 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 | 261 | 2016 |
| 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 | 258 | 2007 |
| Modelling and interpretation of architecture from several images AR Dick, PHS Torr, R Cipolla International Journal of Computer Vision 60 (2), 111-134, 2004 | 238 | 2004 |
| Joint probabilistic data association revisited S Hamid Rezatofighi, A Milan, Z Zhang, Q Shi, A Dick, I Reid Proceedings of the IEEE international conference on computer vision, 3047-3055, 2015 | 224 | 2015 |
| 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 | 193 | 2017 |
| 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 | 176 | 2013 |
| 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 | 175 | 2017 |
| Multi-target tracking by discrete-continuous energy minimization A Milan, K Schindler, S Roth IEEE transactions on pattern analysis and machine intelligence 38 (10), 2054 …, 2015 | 151 | 2015 |
| Learning hash functions using column generation X Li, G Lin, C Shen, A Hengel, A Dick International Conference on Machine Learning, 142-150, 2013 | 136 | 2013 |
| Thrift: Local 3d structure recognition A Flint, A Dick, A Van Den Hengel 9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007 | 136 | 2007 |
| 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 …, 2018 | 127 | 2018 |
| 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 | 121 | 2001 |
| Probabilistic multiple cue integration for particle filter based tracking C Shen, A Van den Hengel, A Dick Australian Pattern Recognition Society, 2003 | 117 | 2003 |
| Issues in automated visual surveillance AR Dick, MJ Brooks International conference on digital image computing: techniques and applications, 2003 | 114 | 2003 |
| Incremental learning of 3D-DCT compact representations for robust visual tracking X Li, A Dick, C Shen, A Van Den Hengel, H Wang IEEE transactions on pattern analysis and machine intelligence 35 (4), 863-881, 2012 | 103 | 2012 |
| Explicit knowledge-based reasoning for visual question answering P Wang, Q Wu, C Shen, A Hengel, A Dick arXiv preprint arXiv:1511.02570, 2015 | 94 | 2015 |
