| {TensorFlow}: a system for {Large-Scale} machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016 | 53530* | 2016 |
| Condensation—conditional density propagation for visual tracking M Isard, A Blake International journal of computer vision 29 (1), 5-28, 1998 | 7566 | 1998 |
| Dryad: distributed data-parallel programs from sequential building blocks M Isard, M Budiu, Y Yu, A Birrell, D Fetterly Proceedings of the 2nd ACM SIGOPS/EuroSys European conference on computer …, 2007 | 3798 | 2007 |
| Object retrieval with large vocabularies and fast spatial matching J Philbin, O Chum, M Isard, J Sivic, A Zisserman 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 3787 | 2007 |
| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023 | 3526 | 2023 |
| Active contours: the application of techniques from graphics, vision, control theory and statistics to visual tracking of shapes in motion A Blake, M Isard Springer Science & Business Media, 2012 | 2520 | 2012 |
| Contour tracking by stochastic propagation of conditional density M Isard, A Blake Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996 | 1972 | 1996 |
| Lost in quantization: Improving particular object retrieval in large scale image databases J Philbin, O Chum, M Isard, J Sivic, A Zisserman 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 1882 | 2008 |
| Quincy: fair scheduling for distributed computing clusters M Isard, V Prabhakaran, J Currey, U Wieder, K Talwar, A Goldberg Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles …, 2009 | 1222 | 2009 |
| DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language YYMID Fetterly, M Budiu, Ú Erlingsson, PKGJ Currey Proc. LSDS-IR 8, 2009 | 1113 | 2009 |
| Naiad: a timely dataflow system DG Murray, F McSherry, R Isaacs, M Isard, P Barham, M Abadi Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems …, 2013 | 1103 | 2013 |
| Total recall: Automatic query expansion with a generative feature model for object retrieval O Chum, J Philbin, J Sivic, M Isard, A Zisserman 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 1102 | 2007 |
| BraMBLe: A Bayesian multiple-blob tracker M Isard, J MacCormick Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 979 | 2001 |
| ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework M Isard, A Blake Computer Vision—ECCV'98: 5th European Conference on Computer Vision …, 1998 | 924 | 1998 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 849 | 2023 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 839 | 2015 |
| Partitioned sampling, articulated objects, and interface-quality hand tracking J MacCormick, M Isard Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000 | 700 | 2000 |
| A multi-view embedding space for modeling internet images, tags, and their semantics Y Gong, Q Ke, M Isard, S Lazebnik International journal of computer vision 106, 210-233, 2014 | 695 | 2014 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 568 | 2023 |
| Tracking loose-limbed people L Sigal, S Bhatia, S Roth, MJ Black, M Isard Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 567 | 2004 |
