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  2. Face and hand detection - ICT

    mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2003-ICT-Hands-Faces.pdf
    19 May 2014: Detecting people. Image-based localisation. ……. Image-based localisation. Image-based localisation. Image-based localisation.
  3. main

    mi.eng.cam.ac.uk/~cipolla/publications/article/2016-CVIU-EVTTS.pdf
    10 Sep 2015: However, complex natural facial51expressions that present diculties for people with ASC in everyday life are52challenging to simulate using robotics.53. ... Lack of attention to social information (eyes141and people) could be a key contributor to these
  4. maneval_hvd_new.eps

    mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf
    9 May 2017: lent work in maintaining the computing facilities. These intelligent and kind people make. ... countless happy moments and make me feel at home. I would liketo thank all people I met.
  5. Predicting hip fracture type with cortical bone mapping (CBM)in ...

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr695.pdf
    26 Jan 2015: 1 Introduction. Hip fractures are the most common cause of acute orthopaedic hospital admission in older people (Parkerand Johansen, 2006).
  6. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ECCV06.pdf
    17 Feb 2006: 30. 35. 40. 45. Loglikelihood. Num. ber. of fr. ames. Same personDifferent people. ... 6. (a) Histograms of intra-personal likelihoods across frames of a sequence whentwo sequences compared correspond to the same (red) and different (blue) people.
  7. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf
    8 Aug 2005: KLD wasalso criticized for being asymmetric [1, 9]. More subtly, both approaches have the disadvantage of comparing whole face distributions, whichhas the implicit assumption that for the same people we expect ... It wasshown that our method consistently
  8. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-CVPR-Brostow-motionincrowds.pdf
    13 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.
  9. Retail: Trying them online for size25 February 2014 • ...

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2014-Sunday-Telegraph-Metail.pdf
    7 Nov 2014: He says: “We can start to tell retailers, of people that buy size 12, this is actually their size and shapeprofile. ... The product is also helping retailers solve problems they face when people buy online, such as returnand sales conversion rates.
  10. 2010-FREng

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2010-CUED-FREng.pdf
    7 Nov 2014: 11/10/2010 17:32Cambridge University Engineering Department: News item. Page 1 of 2http://www.eng.cam.ac.uk/news/stories/2010/RAE_fellowship/. Department of EngineeringUniversity of Cambridge > Engineering Department > News & Features. Royal Academy
  11. The Layout Consistent Random Field for Recognizing and Segmenting ...

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_cvpr06.pdf
    3 Apr 2006: cars, people) and unstructured (e.g. grass, road);results from a preliminary experiment are given in figure 10.In the multi-class case, the pairwise potential could be en-hanced to

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