| 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 | 4141 | 2016 |
| Three things everyone should know to improve object retrieval R Arandjelovic, A Zisserman Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2012 | 1914 | 2012 |
| Look, Listen and Learn R Arandjelović, A Zisserman Computer Vision (ICCV), 2017 IEEE International Conference on, 2017 | 1280* | 2017 |
| All about VLAD R Arandjelovic, A Zisserman Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2013 | 1060 | 2013 |
| 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 | 815 | 2015 |
| Convolutional neural network architecture for geometric matching I Rocco, R Arandjelović, J Sivic Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2017 | 743 | 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 | 696 | 2018 |
| Objects that sound R Arandjelović, A Zisserman European conference on computer vision (ECCV), 2017 | 681* | 2017 |
| Neighbourhood Consensus Networks I Rocco, M Cimpoi, R Arandjelović, A Torii, T Pajdla, J Sivic Neural Information Processing Systems (NIPS), 2018 | 570 | 2018 |
| 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 | 480 | 2020 |
| 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 | 245 | 2019 |
| Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions I Rocco, R Arandjelović, J Sivic European Conference on Computer Vision, 2020 | 233 | 2020 |
| End-to-end weakly-supervised semantic alignment I Rocco, R Arandjelovic, J Sivic Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2018 | 220 | 2018 |
| Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018 | 202 | 2018 |
| DisLocation: Scalable descriptor distinctiveness for location recognition R Arandjelović, A Zisserman Asian conference on computer vision, 188-204, 2014 | 167 | 2014 |
| Multiple queries for large scale specific object retrieval R Arandjelovic, A Zisserman Proceedings of the British Machine Vision Conference (BMVC), 2012 | 140 | 2012 |
| GhostVLAD for set-based face recognition Y Zhong, R Arandjelović, A Zisserman Asian Conference on Computer Vision, 2018 | 128 | 2018 |
| Object discovery and representation networks OJ Hénaff, S Koppula, E Shelhamer, D Zoran, A Jaegle, A Zisserman, ... European conference on computer vision, 123-143, 2022 | 120 | 2022 |
| Smooth object retrieval using a bag of boundaries R Arandjelovic, A Zisserman Computer Vision (ICCV), 2011 IEEE International Conference on, 375-382, 2011 | 116 | 2011 |
| NCNet: Neighbourhood consensus networks for estimating image correspondences I Rocco, M Cimpoi, R Arandjelovic, A Torii, T Pajdla, J Sivic IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 112 | 2020 |
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
