| 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 | 3992 | 2014 |
| The devil is in the details: an evaluation of recent feature encoding methods K Chatfield, V Lempitsky, A Vedaldi, A Zisserman British Machine Vision Conference – BMVC 2011, 2011 | 2105 | 2011 |
| Efficient retrieval of deformable shape classes using local self-similarities K Chatfield, J Philbin, A Zisserman Computer Vision Workshops – International Conference of Computer Vision …, 2009 | 75 | 2009 |
| VISOR: Towards on-the-fly large-scale object category retrieval K Chatfield, A Zisserman Asian Conference of Computer Vision – ACCV 2012, 432-446, 2013 | 67 | 2013 |
| 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, 75-93, 2015 | 65 | 2015 |
| Semi-automatic labelling of datasets A Dalyac, R Ranca, R Hogan, NJ Mcaleese-park, K Chatfield US Patent App. 15/765,275, 2018 | 50 | 2018 |
| The AXES submissions at TrecVid 2013 R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ... | 37 | 2013 |
| AXES at TRECVID 2012: KIS, INS, and MED R Aly, K McGuinness, S Chen, NE O'Connor, K Chatfield, OM Parkhi, ... | 37* | 2012 |
| Efficient on-the-fly category retrieval using convnets and GPUs K Chatfield, K Simonyan, A Zisserman Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 24 | 2015 |
| Beyond metadata: searching your archive based on its audio-visual content T Tommasi, R Aly, K McGuinness, K Chatfield, R Arandjelovic, O Parkhi, ... IET Digital Library, 2014 | 15 | 2014 |
| The AXES PRO video search system K McGuinness, NE O'Connor, R Aly, F De Jong, K Chatfield, OM Parkhi, ... Proceedings of the 3rd ACM conference on International conference on …, 2013 | 13 | 2013 |
| The AXES research video search system K McGuinness, R Aly, K Chatfield, OM Parkhi, R Arandjelovic, M Douze, ... | 9 | 2014 |
| Auxiliary parts damage determination R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ... US Patent 11,244,438, 2022 | 6 | 2022 |
| Paint blending determination R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ... US Patent 11,361,426, 2022 | 1 | 2022 |
| Efficient Retrieval of Shape Classes from Images and Video using Local Self-Similarities K Chatfield Master's Thesis – University of Oxford, 2009 | 1 | 2009 |
| Method of Universal Automated Verification of Vehicle Damage R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ... US Patent App. 17/806,620, 2023 | | 2023 |
| Improving Visual Representation Learning through Perceptual Understanding S Tukra, F Hoffman, K Chatfield arXiv preprint arXiv:2212.14504, 2022 | | 2022 |
| Inconsistent damage determination R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ... US Patent App. 17/651,686, 2022 | | 2022 |
| Universal car damage determination with make/model invariance R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ... US Patent 11,386,543, 2022 | | 2022 |
| Repair/Replace and Labour Hours Determination R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ... US Patent App. 17/650,772, 2022 | | 2022 |
