| NetVLAD: CNN architecture for weakly supervised place recognition R Arandjelović, P Gronat, A Torii, T Pajdla, J Sivic Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2016 | 1860 | 2016 |
| Three things everyone should know to improve object retrieval R Arandjelovic, A Zisserman Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2012 | 1482 | 2012 |
| All about VLAD R Arandjelovic, A Zisserman Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2013 | 813 | 2013 |
| Look, Listen and Learn R Arandjelović, A Zisserman Computer Vision (ICCV), 2017 IEEE International Conference on, 2017 | 578* | 2017 |
| Convolutional neural network architecture for geometric matching I Rocco, R Arandjelović, J Sivic Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2017 | 414 | 2017 |
| 24/7 place recognition by view synthesis A Torii, R Arandjelovic, J Sivic, M Okutomi, T Pajdla Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 399 | 2015 |
| Objects that sound R Arandjelović, A Zisserman European conference on computer vision (ECCV), 2017 | 348* | 2017 |
| On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models S Gowal, K Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ... NIPS 2018 workshop on Security in Machine Learning, 2018 | 258 | 2018 |
| Neighbourhood Consensus Networks I Rocco, M Cimpoi, R Arandjelović, A Torii, T Pajdla, J Sivic Neural Information Processing Systems (NIPS), 2018 | 183 | 2018 |
| End-to-end weakly-supervised semantic alignment I Rocco, R Arandjelovic, J Sivic Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2018 | 138 | 2018 |
| DisLocation: Scalable descriptor distinctiveness for location recognition R Arandjelović, A Zisserman Asian conference on computer vision, 188-204, 2014 | 136 | 2014 |
| Multiple queries for large scale specific object retrieval R Arandjelovic, A Zisserman Proceedings of the British Machine Vision Conference (BMVC), 2012 | 132 | 2012 |
| Self-supervised multimodal versatile networks JB Alayrac, A Recasens, R Schneider, R Arandjelović, J Ramapuram, ... Advances in Neural Information Processing Systems 33, 25-37, 2020 | 129 | 2020 |
| Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018 | 124 | 2018 |
| Smooth object retrieval using a bag of boundaries R Arandjelovic, A Zisserman Computer Vision (ICCV), 2011 IEEE International Conference on, 375-382, 2011 | 105 | 2011 |
| GhostVLAD for set-based face recognition Y Zhong, R Arandjelović, A Zisserman Asian Conference on Computer Vision, 2018 | 73 | 2018 |
| AXES at TRECVid 2011 K McGuinness, R Aly, S Chen, M Frappier, K Martijn, H Lee, R Ordelman, ... | 71* | 2011 |
| Scalable verified training for provably robust image classification S Gowal, KD Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 70 | 2019 |
| On-the-fly learning for visual search of large-scale image and video datasets K Chatfield, R Arandjelović, O Parkhi, A Zisserman International journal of multimedia information retrieval 4 (2), 75-93, 2015 | 60 | 2015 |
| Sketch recognition by fusion of temporal and image-based features R Arandjelović, TM Sezgin Pattern Recognition 44 (6), 1225-1234, 2011 | 48 | 2011 |
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
