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Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-CVPR-deep-roots.pdf13 Mar 2018: For training, we used the initialization. scheme described by [24] modified for compound layers [9]. ... To train we used the initialization. of [24] modified for compound layers [9] and batch normal-. -
Multiview Photometric Stereo Carlos Hernández, Member, IEEE,George…
mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-photometric-stereo.pdf13 Mar 2018: 24, no. 3, pp. 383-391, 2005. [6] F. Bernardini, H. Rushmeier, I. ... ACM, vol. 24, no. 6, pp. 381-395, 1981. [15] G. Vogiatzis, C. -
SceneNet: An Annotated Model Generator for Indoor Scene Understanding
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-ICRA-SceneNet.pdf13 Mar 2018: 24]. In addition, free software like Blender1. or CloudCompare2 can be used to manually annotate the. ... 30, no. 4, p. 87, 2011. [24] Y.-S. Wong, H.-K. Chu, and N. -
Hand PoseEstimation Using Hierar chical Detection B. Stenger��� , ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2004-HCI-Stenger-hand-pose.pdf13 Mar 2018: Both, centretemplateandmarginalizedtemplateshow betterclassificationperfor-mancethanthe trainedclassifier, in particular in the high detection range.At de-tectionratesof 0.99 thefalsepositive ratefor thecentretemplateis 0.24, wherasitis 0.64for -
Utilisation de la cohérence globale entre silhouettes pour…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-ARIF-Hernandez.pdf13 Mar 2018: 329–338. [24] W. Matusik, C. Buehler, R. Raskar, S. Gortler, and L. ... a) Déesse Hécate (36 images de 14 megapixels). (b) Bronze chinois (24 images de 6 megapixels). -
TPAMI-0554-0706-2 1..14
mi.eng.cam.ac.uk/~cipolla/publications/article/2007-PAMI-Kim.pdf13 Mar 2018: Manuscript received 25 July 2006; revised 24 Oct. 2006; accepted 25 Oct.2006; published online 18 Jan. ... The ConstrainedMutual Subspace Method (CMSM) [24], [37] is closely relatedto the approach of this paper. -
A Statistical Consistency Check for the SpaceCarving Algorithm. A. ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-BMVC-Broadhurst-consistency.pdf13 Mar 2018: Figure 2: Resultsfrom the existing SpaceCarving algorithm using different thresholdsettings. The voxel array size was , and the thresholdswere 48,32,24,16(of 255)respectively. ... Figure 4: Resultsfrom the existing SpaceCarving algorithm using different -
Modelling Uncertainty in Deep Learning for Camera Relocalization Alex …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-ICRA-pose-uncertainty.pdf13 Mar 2018: 24]. The dropout probabilities, pi,could be optimised. However we leave them at the standard. ... 24] Yarin Gal and Zoubin Ghahramani. Bayesian convolutionalneural networks with bernoulli approximate variational inference.arXiv:1506.02158, 2015. -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-IVC-Stenger.pdf13 Mar 2018: 21] for upper bodypose estimation. In [24] it is suggested to partition the parameter spaceof a 3D hand model using a multi-resolution grid. ... range. At detection rates of 0.99 the false positiverate for the centre template is 0.24, wheras it is -
Estimation of Epipolar Geometry from Apparent Contours: Affine and…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-affine-frontiers.pdf13 Mar 2018: F =. 24 0 0 c0 0 da b e. 35 : (4). ... F =. 24 0 0. 0 sin0. 0 0 0 cos0sin cos p1 2 02.
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