| A statistical approach to texture classification from single images M Varma, A Zisserman International journal of computer vision 62, 61-81, 2005 | 1626 | 2005 |
| Multiple kernels for object detection A Vedaldi, V Gulshan, M Varma, A Zisserman 2009 IEEE 12th international conference on computer vision, 606-613, 2009 | 1071 | 2009 |
| A statistical approach to material classification using image patch exemplars M Varma, A Zisserman IEEE transactions on pattern analysis and machine intelligence 31 (11), 2032 …, 2008 | 809 | 2008 |
| Learning the discriminative power-invariance trade-off M Varma, D Ray 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 736 | 2007 |
| Character recognition in natural images TE de Campos, BR Babu, M Varma International conference on computer vision theory and applications 1, 273-280, 2009 | 716 | 2009 |
| Texture classification: Are filter banks necessary? M Varma, A Zisserman 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 663 | 2003 |
| More generality in efficient multiple kernel learning M Varma, BR Babu Proceedings of the 26th annual international conference on machine learning …, 2009 | 557 | 2009 |
| Sparse local embeddings for extreme multi-label classification K Bhatia, H Jain, P Kar, M Varma, P Jain Advances in neural information processing systems 28, 2015 | 556 | 2015 |
| Classifying images of materials: Achieving viewpoint and illumination independence M Varma, A Zisserman Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 499 | 2002 |
| Fastxml: A fast, accurate and stable tree-classifier for extreme multi-label learning Y Prabhu, M Varma Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 478 | 2014 |
| Extreme multi-label loss functions for recommendation, tagging, ranking & other missing label applications H Jain, Y Prabhu, M Varma Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 428 | 2016 |
| Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages R Agrawal, A Gupta, Y Prabhu, M Varma Proceedings of the 22nd international conference on World Wide Web, 13-24, 2013 | 361 | 2013 |
| Resource-efficient machine learning in 2 kb ram for the internet of things A Kumar, S Goyal, M Varma International conference on machine learning, 1935-1944, 2017 | 308 | 2017 |
| Parabel: Partitioned label trees for extreme classification with application to dynamic search advertising Y Prabhu, A Kag, S Harsola, R Agrawal, M Varma Proceedings of the 2018 World Wide Web Conference, 993-1002, 2018 | 299 | 2018 |
| Fastgrnn: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network A Kusupati, M Singh, K Bhatia, A Kumar, P Jain, M Varma Advances in neural information processing systems 31, 2018 | 239 | 2018 |
| Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems 23, 2010 | 226 | 2010 |
| Protonn: Compressed and accurate knn for resource-scarce devices C Gupta, AS Suggala, A Goyal, HV Simhadri, B Paranjape, A Kumar, ... International conference on machine learning, 1331-1340, 2017 | 212 | 2017 |
| Locally invariant fractal features for statistical texture classification M Varma, R Garg 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 196 | 2007 |
| Large scale max-margin multi-label classification with priors B Hariharan, L Zelnik-Manor, M Varma, S Vishwanathan Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 180 | 2010 |
| Slice: Scalable linear extreme classifiers trained on 100 million labels for related searches H Jain, V Balasubramanian, B Chunduri, M Varma Proceedings of the twelfth ACM international conference on web search and …, 2019 | 171 | 2019 |
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
