Ken Chatfield
Ken Chatfield
Verified email at robots.ox.ac.uk
Title
Cited by
Cited by
Year
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
34132014
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
10802011
VISOR: Towards on-the-fly large-scale object category retrieval
K Chatfield, A Zisserman
Asian Conference of Computer Vision – ACCV 2012, 432-446, 2013
652013
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
652009
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
582015
The AXES submissions at TrecVid 2013
R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ...
342013
Efficient on-the-fly category retrieval using convnets and GPUs
K Chatfield, K Simonyan, A Zisserman
Asian Conference on Computer Vision, 129-145, 2014
232014
Axes at trecvid 2012: Kis, ins, and med
D Oneata, M Douze, J Revaud, S Jochen, D Potapov, H Wang, ...
TRECVID workshop, 2012
232012
Knowing a good feature when you see it: ground truth and methodology to evaluate local features for recognition
A Vedaldi, H Ling, S Soatto
Computer Vision, 27-49, 2010
192010
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
152014
AXES at TRECVID 2012: KIS, INS, and MED
R Aly, K McGuinness, S Chen, NE O'Connor, K Chatfield, OM Parkhi, ...
142012
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
132013
Semi-automatic labelling of datasets
A Dalyac, R Ranca, R Hogan, NJ Mcaleese-park, K Chatfield
US Patent App. 15/765,275, 2018
102018
The AXES research video search system
K McGuinness, R Aly, K Chatfield, OM Parkhi, R Arandjelovic, M Douze, ...
92014
Efficient Retrieval of Shape Classes from Images and Video using Local Self-Similarities
K Chatfield
Master's Thesis – University of Oxford, 2009
12009
METHOD OF DETERMINING REPAIR OPERATIONS FOR A DAMAGED VEHICLE INCLUDING USING DOMAIN CONFUSION LOSS TECHNIQUES
R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ...
US Patent App. 17/303,106, 2021
2021
METHOD OF DETERMINING DAMAGE TO PARTS OF A VEHICLE
R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ...
US Patent App. 17/303,109, 2021
2021
Method of Determining Painting Requirements for a Damage Vehicle
R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ...
US Patent App. 17/303,064, 2021
2021
METHOD OF DETERMINING DAMAGE TO PARTS OF A VEHICLE
R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ...
US Patent App. 17/303,110, 2021
2021
METHOD OF DETERMINING INCONSISTENT DAMAGE TO PARTS OF A VEHICLE
R Ranca, M Horstmann, B Mattsson, J Oellrich, YK Teh, K Chatfield, ...
US Patent App. 17/303,073, 2021
2021
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