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Automatic 3D Object Segmentation in MultipleViews using Volumetric…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-BMVC-Campbell-volumetric.pdf13 Mar 2018: As can be seen from the example images ofFigure 4 (a), the background continually changes including both the surrounding buildingand numerous different people and hence a very wide range of colours. -
Model-Based 3D Tracking of an Articulated Hand B. Stenger ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2001-CVPR-Stenger-hand.pdf13 Mar 2018: Springer-Verlag, London, 1998. [4] C. Bregler and J. Malik. Tracking people with twists and ex-ponential maps. -
Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-CVPR-Williams-sparse.pdf13 Mar 2018: Text input with a one-dimensionalcontinuous signal is possible via the Dasher system [19] andthese simple uses for the S3GP offer a light-weight com-munication device for people that are ... people with repetitive strain injuries. -
Assisted Video Object LabelingBy Joint Tracking of Regions and ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-ICCV-workshop-assistedlabels.pdf13 Mar 2018: The re-sultsof theprogagationcanbeviewed in the supplementary. 3http://sourceforge.net/projects/opencv/4http://www.cs.ubc.ca/lowe/keypoints/5http://people.cs.uchicago.edu/pff/segment/. video. We measure the propagation -
This article appeared in a journal published by Elsevier. ...
mi.eng.cam.ac.uk/~sjy/papers/inyo0920 Feb 2018: Fig. 8 displays the percentage preference rates. Ascan be seen, spectral conversions were consistently pre-ferred for anger and sadness (t-test, p 0:01), while forsurprise most people preferred unmodified -
Automatic Cast Listing in Feature-Length Films with Anisotropic…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-CVPR-Arandjelovic-automatic.pdf13 Mar 2018: 1.2. Method overview. The first idea of our work concerns the observation thatsome people are inherently more similar looking to eachother than others. ... 100from 700 sequences (7 for each of the 100 people in thedatabase) acquired in our laboratory. -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation-arXiv.pdf13 Mar 2018: For example the scene may include dynamicobjects like people and cars or experience changing weatherconditions. ... The last observation is that PoseNet has an attenuated re-sponse to people and other noisy objects, effectively mask-ing them. -
eccv_final_77.dvi
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-ECCV-single-view-reconstruction.pdf13 Mar 2018: Recently, a more detailed humanmodel called SCAPE (Shape Completion and Animation for PEople) has beenproposed [12]. ... Rodgers, SCAPE: Shapecompletion and animation of people, SIGGRAPH (2005) 408–416. 13. -
ADAPTATION OF AN EXPRESSIVE SINGLE SPEAKER DEEP NEURAL NETWORKSPEECH…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2018-ICASSP-speaker-adaptation.pdf3 May 2018: We think this is not areflection on the results but rather a reflection on the difficulty withwhich people can judge the similarity of expressions. -
Unsupervised Bayesian Detection of Independent Motion in Crowds…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-CVPR-Brostow-motionincrowds.pdf13 Mar 2018: The algo-rithm is tested to give quantitative results on crowds of upto 33 people. ... 16] D. Ramanan and D. A. Forsyth. Finding and tracking people from the bottomup.
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