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Semantic Specialisation of Distributional Word Vector Spaces…
mi.eng.cam.ac.uk/~sjy/papers/mvol17.pdf20 Feb 2018: the position of its target exam-ple. -
A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2012-CVPR-Viola.pdf13 Mar 2018: To discuss related work, let us follow a standard exam-ple: combined denoising and (non-blind) upsampling. -
Silhouette-based Object Phenotype Recognition using 3D Shape Priors…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Chen-priors.pdf13 Mar 2018: a) Random paired-rectangle features. (b) A3 3 exam-ple of dissimilarity matrixΠ for human phenotype classes. -
Multi-Sensory Face Biometric Fusion (for Personal Identification)…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-OTCBVS-Arandjelovic-fusion.pdf13 Mar 2018: W1 was found to be very large). Exam-ples are shown in Fig. -
Ghostscript wrapper for…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-tensor.pdf13 Mar 2018: plain the solution for the I single-shared-mode for exam-. ple. This involves the orthogonal sets of canonical di-. -
Learning to Track with Multiple Observers Björn StengerComputer…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-tracking.pdf13 Mar 2018: Figures10 and11 show exam-ples on the face dataset. 5. Summary and Conclusion. -
Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-ICCV-colour-photometric-video.pdf13 Mar 2018: 9] A. Hertzmann and S. Seitz. Shape and materials by exam-ple: a photometric stereo approach. -
Large scale labelled video data augmentation for semantic…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-ICCV-label-propagation.pdf13 Mar 2018: Another exam-ple of a label transfer approach is the leveraging of aerialimages [25] where labelling some classes (e.g. -
Understanding Real World Indoor Scenes With Synthetic Data Ankur ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-CVPR-3D-synthetic-data.pdf13 Mar 2018: However, careful exam-ination in class accuracies (see Table 3) reveals that we per-form comparably only compromising on tv and windows —we expect RGB to play a bigger role here — -
Face Recognition with Image Sets Using Manifold Density Divergence ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-CVPR-Arandjelovic-divergence.pdf13 Mar 2018: asfaces with grossly incorrect scales – see Figure 9 for exam-ples of successfully removed false positives.
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