| 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), 58, 2013 | 538 | 2013 |
| 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, 2007 | 246 | 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 | 236 | 2004 |
| 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 | 161 | 2016 |
| 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 | 143 | 2016 |
| 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 | 128 | 2013 |
| Online Multi-Target Tracking Using Recurrent Neural Networks. A Milan, SH Rezatofighi, AR Dick, ID Reid, K Schindler AAAI 2, 4, 2017 | 125 | 2017 |
| Combining single view recognition and multiple view stereo for architectural scenes AR Dick, PHS Torr, SJ Ruffle, R Cipolla Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International …, 2001 | 118 | 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 |
| Thrift: Local 3d structure recognition A Flint, A Dick, A Van Den Hengel dicta, 182-188, 2007 | 111 | 2007 |
| Issues in automated visual surveillance AR Dick, MJ Brooks International conference on digital image computing: techniques and applications, 2003 | 106 | 2003 |
| Learning hash functions using column generation X Li, G Lin, C Shen, A Hengel, A Dick arXiv preprint arXiv:1303.0339, 2013 | 101 | 2013 |
| 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 | 100 | 2015 |
| Infinite variational autoencoder for semi-supervised learning ME Abbasnejad, A Dick, A van den Hengel 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 781-790, 2017 | 85 | 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 …, 2016 | 84 | 2016 |
| 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, 2013 | 80 | 2013 |
| Learning compact binary codes for visual tracking X Li, C Shen, A Dick, A Van Den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 76 | 2013 |
| Automatic 3D Modelling of Architecture. AR Dick, PHS Torr, R Cipolla BMVC 1, 372-381, 2000 | 75 | 2000 |
| A stochastic approach to tracking objects across multiple cameras AR Dick, MJ Brooks Australasian Joint Conference on Artificial Intelligence, 160-170, 2004 | 73 | 2004 |
| Non-sparse linear representations for visual tracking with online reservoir metric learning X Li, C Shen, Q Shi, A Dick, A van den Hengel Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012 | 69 | 2012 |
