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1 - 10 of 468 search results for TALK:Vb20 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 468 match some words.

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  2. A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2012-CVPR-Viola.pdf
    13 Mar 2018: E(U, V) =I F(V)U:ρ+. λ1t. #Tt(V). (ut2ut3)α. p. λ2Rdisc(U, V) (24). ... Port (23.28) LB (24.04) TV (22.26) Our (23.80). Figure 9. Denoising.

  3. Learning Motion Categories using both Semantic and Structural…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-CVPR-Wongsf-learning.pdf
    13 Mar 2018: to sample size)1 5 10 15 20 24. Control set-up 67.46 73.80 77.50 80.37 81.67 83.92Test set-up N/A N/A ... Control set-up involves batch training usingsegmented KTH data (24 samples associated with 1 subject) whiletest set-up involves retraining of an

  4. Incremental Learning of Temporally-CoherentGaussian Mixture Models…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2006-SME-Arandjelovic.pdf
    13 Mar 2018: 18] N. Vlassis and A Likas. A kurtosis-based dynamic approach to Gaussian mixture modeling.Systems, Max, and Cybernetics – Part A: Systems and Humans, 24(9):393–399, 1999.

  5. Spatio-Temporal Clustering of Probabilistic Region Trajectories Fabio …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Galasso-ST.pdf
    13 Mar 2018: 40.31% 16.47% 16.47% 0.54 1Miss Marple4 32.35% 24.58% 24.58% 0.45 1Miss Marple5 66.75% 8.69% 8.69% 0.77 1Miss Marple6 ... 01% 24.48% 0.60 5Averages 54.83% 23.84% 25.86% 0.63 4.4.

  6. Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-ECCV-stereo.pdf
    13 Mar 2018: The works of [23, 24] present complementary algorithms for range imageintegration. ... In: Proc. of. the ACM SIGGRAPH ‘96. (1996). 24. Zach, C., Pock, T., Bischof, H.: A globally optimal algorithm for robust TV-L1 range image integration.

  7. Noname manuscript No.(will be inserted by the editor) Using ...

    mi.eng.cam.ac.uk/~cipolla/publications/article/2014-IJCV-dense-AAM.pdf
    13 Mar 2018: registration over a variety of different object classes [7,. 24, 25]. ... MICCAI 2879, 771–779 (2003). 24. Matthews, I., Baker, S.: Active appearance models revis-ited.

  8. Camera calibration from vanishing points in images of architectural…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-BMVC-photobuilder-copy.pdf
    13 Mar 2018: scaling parameters, i. In particular:. 24. u1 u2 u3v1 v2 v31 1 1. ... u4v41. 35 =. 24. p11 p12 p13 p14p21 p22 p23 p24p31 p32 p33 p34.

  9. DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-CVPR-Shankar.pdf
    13 Mar 2018: Though convolutional forms ofDBNs exist [24], they have not shown much promise overdeep CNNs for most of the recognition tasks. ... InWorkshop on Challenges in Representation Learning, ICML,2013. 3. [24] H. Lee, R.

  10. Video Normals from Colored LightsGabriel J. Brostow, Member, IEEE, ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2011-PAMI-Video-normals.pdf
    13 Mar 2018: Thefirst reference to multispectral light for photometric stereodates back 20 years to the work of Petrov [24]. ... 24, no. 3, pp. 439-448, Aug. 2005. [4] R. White and D.

  11. Semantic Texton Forests for Image Categorization and Segmentation…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-CVPR-semantic-texton-forests-report.pdf
    13 Mar 2018: and the BoST region priors.The addition of region priors allows us to model contextbased on semantics [24], not just texture. ... In CVPR, volume 1, pages 829–836, 2005. 4. [24] A. Rabinovich, A.

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