| Very deep convolutional networks for large-scale image recognition K Simonyan, A Zisserman arXiv preprint arXiv:1409.1556, 2014 | 126388 | 2014 |
| Multiple view geometry in computer vision R Hartley, A Zisserman Vision, 2nd ed., New York: Cambridge, 2003 | 34811 | 2003 |
| The pascal visual object classes (voc) challenge M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman International journal of computer vision 88 (2), 303-338, 2010 | 22579 | 2010 |
| The pascal visual object classes challenge: A retrospective M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ... International journal of computer vision 111 (1), 98-136, 2015 | 11000 | 2015 |
| Two-stream convolutional networks for action recognition in videos K Simonyan, A Zisserman Advances in neural information processing systems 27, 2014 | 9242 | 2014 |
| Quo vadis, action recognition? a new model and the kinetics dataset J Carreira, A Zisserman proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 9171 | 2017 |
| Spatial transformer networks M Jaderberg, K Simonyan, A Zisserman Advances in neural information processing systems 28, 2015 | 8976 | 2015 |
| Video Google: A text retrieval approach to object matching in videos J Sivic, A Zisserman Computer Vision, 2003. ICCV 2003. IEEE International Conference on, 1470, 2003 | 8514 | 2003 |
| Deep inside convolutional networks: Visualising image classification models and saliency maps K Simonyan, A Vedaldi, A Zisserman arXiv preprint arXiv:1312.6034, 2013 | 8302 | 2013 |
| Deep face recognition O Parkhi, A Vedaldi, A Zisserman BMVC 2015-Proceedings of the British Machine Vision Conference 2015, 2015 | 6445 | 2015 |
| A comparison of affine region detectors K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, ... International journal of computer vision 65, 43-72, 2005 | 4474 | 2005 |
| The kinetics human action video dataset W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ... arXiv preprint arXiv:1705.06950, 2017 | 4280 | 2017 |
| Return of the devil in the details: Delving deep into convolutional nets K Chatfield, K Simonyan, A Vedaldi, A Zisserman arXiv preprint arXiv:1405.3531, 2014 | 4277 | 2014 |
| Object retrieval with large vocabularies and fast spatial matching J Philbin, O Chum, M Isard, J Sivic, A Zisserman 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 3810 | 2007 |
| Automated flower classification over a large number of classes ME Nilsback, A Zisserman 2008 Sixth Indian conference on computer vision, graphics & image processing …, 2008 | 3809 | 2008 |
| Convolutional two-stream network fusion for video action recognition C Feichtenhofer, A Pinz, A Zisserman Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 3379 | 2016 |
| Visual reconstruction A Blake, A Zisserman MIT press, 1987 | 3266 | 1987 |
| Vggface2: A dataset for recognising faces across pose and age Q Cao, L Shen, W Xie, OM Parkhi, A Zisserman 2018 13th IEEE international conference on automatic face & gesture …, 2018 | 3101 | 2018 |
| Object class recognition by unsupervised scale-invariant learning R Fergus, P Perona, A Zisserman 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 3065 | 2003 |
| MLESAC: A new robust estimator with application to estimating image geometry PHS Torr, A Zisserman Computer vision and image understanding 78 (1), 138-156, 2000 | 3043 | 2000 |
Karen SimonyanChief Scientist, Microsoft AI在 microsoft.com 的电子邮件经过验证
