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  2. Cambridge University Engineering Department_ News item

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2005-CUED-Digital-Pygmalion.pdf
    7 Nov 2014: 10/09/2008 11:06Cambridge University Engineering Department: News item. Page 1 of 3file:///Users/cipolla/Desktop/Public-Understanding-Archive/2005-CUED-DigitalPygmalion.webarchive. Department of EngineeringUniversity of Cambridge > Engineering
  3. An Investigation into the Interactions betweenSpeaker Diarisation…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr464.pdf
    9 Oct 2003: An Investigation into the Interactions betweenSpeaker Diarisation Systems andAutomatic Speech Transcription. †S.E. Tranter, †K. Yu, ‡D.A. Reynolds, †G. Evermann,†D.Y. Kim & †P.C. WoodlandCUED/F-INFENG/TR-464. 9th October 2003. †
  4. slides_part2.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part2_Knill.pdf
    12 May 2016: Can we eliminate the HMM? – Not yet - but people are working on it e.g.
  5. Colour Invariants for Machine Face Recognition Ognjen…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-AFGR-face-colour.pdf
    13 Mar 2018: Specifically, the extent of illumina-tion variation across the 7 different settings used for each ofthe 100 people, is illustrated in Fig.
  6. Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-CVPR-Williams-sparse.pdf
    13 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.
  7. Ghostscript wrapper for C:\Documents and Settings\mike\My…

    mi.eng.cam.ac.uk/~cipolla/publications/invitedTalk/2003-MOS-handtracking.pdf
    13 Mar 2018: Further-more the motion of different joints is correlated, for example, most people findit difficult to bend the little finger while keeping the ring finger fully extendedat the same time.
  8. Boosted Manifold Principal Angles for Image Set-Based Recognition…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007-PR-Kim.pdf
    13 Mar 2018: changes significantly due to variations in people’sheights and their ad lib chosen position relative to the camera.
  9. Submitted in partial requirement for the MPhil in Computer ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_mthesis.pdf
    10 Apr 2000: Signed:. AcknowledgementsI would like to take this opportunity to thank the many people in the Cambridge UniversitySpeech, Vision and Robotics group for their help, advice and sharing of technical expertise
  10. thesis.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf
    14 Jun 2006: The performance of these systems has im-proved sufficiently that people are often surprised to learn that the automatic speechtranscription (or recognition) problem is far from solved. ... people will get, I mean, I’ve, - my brother lives where I
  11. techreport_20060422MJ.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2006-Eurographics-semantic.pdf
    13 Mar 2018: Our primary contributionis a new method for creating images of specific thingsand people, with minimal human effort. ... semantic labels such as proper names of people, andcan be supplemented with copy-pasted islands of pixelsfor categories that lack
  12. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2004-BMVC-Arandjelovic-invariant.pdf
    13 Mar 2018: 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
  13. IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/van_dalen-2015-improving.pdf
    11 Feb 2015: ABSTRACT. This paper introduces a method to produce high-quality transcrip-tions of speech data from only two crowd-sourced transcriptions.These transcriptions, produced cheaply by people on the Internet, forexample
  14. Canonical Correlation Analysis of Video VolumeTensors for Action…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-CCA-action-recognition.pdf
    13 Mar 2018: 26]. Corpora of motion capture data (obtainedby infrared light markers) of multiple people and actionsare analyzed as tensors for human motion synthesis andrecognition [41]. ... The action detection was performed by the exemplar set. consisting of the
  15. Bitext Alignment forStatistical Machine Translation Yonggang Deng A…

    mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDissertationDec05.pdf
    16 Feb 2008: 4. It is necessary to strengthen monitoring andforecast work and scientifically dispatch people andmaterials.
  16. Large scale labelled video data augmentation for semantic…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-ICCV-label-propagation.pdf
    13 Mar 2018: As a part of our evaluation effort weinclude the CamVid-Instance dataset consisting of instancelabels for people and cars from the original CamVid [6]dataset. ... Row (a) on the right section of this figure contains three image and corresponding instance
  17. Face Recognition from Face Motion Manifolds using Robust…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2004-FPIV-Arandjelovic-face.pdf
    13 Mar 2018: Recognition ratesof 97–100% are consistently achieved on databases of 35–90 people. ... Shown is the identificationrate (%) for five databases of 35 people (1–5) and one of 90 (6).
  18. Minimum Bayes-Risk Techniquesin Automatic Speech Recognition and…

    mi.eng.cam.ac.uk/~wjb31/ppubs/ShankarKumarDiss04.pdf
    16 Feb 2008: Minimum Bayes-Risk Techniquesin Automatic Speech Recognition. and Statistical Machine Translation. Shankar Kumar. A dissertation submitted to the Johns Hopkins University in conformity with the. requirements for the degree of Doctor of Philosophy.
  19. IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 4, ...

    mi.eng.cam.ac.uk/~cipolla/publications/article/2010-IP-Face-Recogntion.pdf
    13 Mar 2018: Wakasugi, T. Kawahara, andO. Yamaguchi, “Recognizing faces of moving people by hierarchicalimage-set matching,” presented at the CVPR, 2007.
  20. Co-occurrence Flow for Pedestrian Detection

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICIP-pedestrian-detection.pdf
    13 Mar 2018: In BMVC, 2009. [20] C. Wojek and B. Schiele. A performance evaluation of single and multi-feature people detection.
  21. iccv.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-ICCV-Drummond-realtime.pdf
    13 Mar 2018: 2] C Bregler and J Malik. Tracking people with twists and ex-ponential maps.
  22. DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-CVPR-Shankar.pdf
    13 Mar 2018: In prac-tice, people typically search for an attribute-noun pair ratherthan an attribute.
  23. THERMAL & REFLECTANCE BASED IDENTIFICATION IN CHALLENGING…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007_PAMI_paper2.pdf
    13 Mar 2018: in 2000 roughly 96 million people, or 34% of the total population, wore prescription. ... is gained by steering away from misleadingly good matches between any two people.
  24. Photo recognition software gives location - 10 April 2004 - New…

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2004-NewScientist-Photo-recognition.pdf
    7 Nov 2014: Telling people 'You are in the vicinity of X' is no good to mannor beast," says John Craig of Cambridge Positioning Systems,a company that develops software for locating mobile phones. ... However, the system's commercial future is uncertain."The
  25. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-OTCBVS-Arandjelovic-fusion.pdf
    13 Mar 2018: 5. Thepractical importance of this can be seen by noting that in theUS in 2000 roughly 96 million people, or 34% of the totalpopulation, wore prescription glasses [36]. ... 17] G. Friedrich and Y. Yeshurun. Seeing people in the dark: face recog-nition in
  26. PRLETTERS-D-12-00247R1[1]

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2013-PR-bipedal-motion.pdf
    13 Mar 2018: 15. Figure 8: Results on Sequence II. Detection of bipedal motion of two people walkingacross the scene from opposite directions (from top to bottom). ... S., Cutler, R., 2002. Motion-based recognition514of people in eigengait space. In: Proc.
  27. ADAPTATION OF AN EXPRESSIVE SINGLE SPEAKER DEEP NEURAL NETWORKSPEECH…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2018-ICASSP-speaker-adaptation.pdf
    3 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.
  28. 05-02_178

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-MVA-Thayananthan.pdf
    13 Mar 2018: method was tested on 40 frames of a real 15 Hzvideo (resolution 160x120), where two people cross infront of a stationary background.
  29. FootNet: An Efficient Convolutional Network forMultiview 3D Foot…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf
    28 Jun 2021: Foot shape and scale. Foot shape is paramaterised by a PCA foot modeltrained from 3D scans of people’s feet using a multi-view stereo (MVS) sys-tem [27]. ... The 3-view dataset consists of 22 sets of foot images, eachcontaining 3 views (inside, top,
  30. LNCS 8694 - Part Bricolage: Flow-Assisted Part-Based Graphs for…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2014-ECCV-Shankar.pdf
    13 Mar 2018: The MSR-Actions dataset is quite different from the Holly-wood dataset, since the test sequences normally contain multiple actions with people fre-quently crossing each other and changing their position
  31. Article Submitted to Computer Speech and Language Automatic…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf
    9 Aug 2005: capitalised words, although people do not want to be forcedto verbally capitalise words.
  32. Enginuity

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2003-CUED-Enginuity-3Dhand-tracking.pdf
    7 Nov 2014: deaf people), and translateit into normal speech or written transcript.
  33. A Pose-Wise Linear Illumination Manifold Model for Face Recognition…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2007_CVIU_paper2.pdf
    13 Mar 2018: ClusterC1 is then illumination-normalized with respect toC2 (we willtherefore refer toC2 as thereference cluster), under the null assumption that theidentities of the two people they represent are the same.
  34. CHARLES et al.: EXTRACTING THE X FACTOR IN HUMAN ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2017-BMVC-human-segmentation.pdf
    13 Mar 2018: c) shows per-class IOU comparison on Unite the People S31. YouTube Pose [7]. ... OnUnite the People, these scores are shown as averages over left-right body parts.
  35. Chapter 1 Achieving Illumination Invariance using Image Filters…

    mi.eng.cam.ac.uk/~cipolla/publications/contributionToEditedBook/2007-FR-chapter1.pdf
    13 Mar 2018: Specifically, this means that people’s motion and head poses are largelyuncontrolled, the amount of available training data is limited to a single short sequence perperson, and image quality is low.
  36. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/~cipolla/archive/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.
  37. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-ECCV-Arandjelovic-face.pdf
    13 Mar 2018: 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.
  38. Efficiently Combining Contour and TextureCues for Object Recognition…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-BMVC-Shotton.pdf
    13 Mar 2018: We highlight the categorization im-provements for bikes (side and front), people, cups, and cars ( 23 rear), and the detectionimprovements for bikes (side) and cars (front). ... Horses (front). People. Cars (front). Cows (front). Cars ( rear). Cups.
  39. Automatic Cast Listing in Feature-Length Films with Anisotropic…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-CVPR-Arandjelovic-automatic.pdf
    13 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.
  40. Lattice Rescoring Methods forStatistical Machine Translation Graeme…

    mi.eng.cam.ac.uk/~wjb31/ppubs/gwbthesis2010.pdf
    6 Oct 2010: Lattice Rescoring Methods forStatistical Machine Translation. Graeme Blackwood. Cambridge University Engineering Departmentand. Clare College. Dissertation submitted to the University of Cambridgefor the degree of Doctor of Philosophy.
  41. Exposure, built in the Netherlands, took Scottish pylon-makers and ...

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2010-Guardian-Gormley-Exposure.pdf
    7 Nov 2014: This is what people have managed to achievethrough sheer bloodymindedness. The Scots sweated blood over it and now they'vehad to give it up to the flatlanders.".
  42. With Zappar, Augmented Reality Is Ready for Prime Time | TIME.com

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2012-TIME-Zappar.pdf
    7 Nov 2014: Worst College Majors forYour CareerKiplinger. Sort: Newest | Oldest. Sign in 4 people listening.
  43. Automatic 3D Object Segmentation in MultipleViews using Volumetric…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-BMVC-Campbell-volumetric.pdf
    13 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.
  44. Multiscale Categorical Object RecognitionUsing Contour Fragments…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-contour-recognition.pdf
    13 Mar 2018: Marr’s Primal Sketch [37] already consideredcontour a powerful cue. Contour was first used forparticular objects, matched as complete rigid templates[30], but later for articulated objects, for example, people ... techniques for bikes (front) and people
  45. The Joint Manifold Model for Semi-supervised Multi-valued Regression…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-ICCV-manifold-learning.pdf
    13 Mar 2018: 20] R. Urtasun, D. Fleet, and P. Fua. 3D people tracking withGaussian process dynamical models.
  46. /home/blue7/jjjb2/2009-03-02_ZH-EN/results/HMMcomp.f2e.ps

    mi.eng.cam.ac.uk/~wjb31/ppubs/jbrunningthesis.pdf
    20 Oct 2010: Alignment Models and Algorithmsfor Statistical Machine Translation. James Brunning. Cambridge University Engineering Departmentand. Jesus College. August 2010. This degree is submitted to the University of Cambridgefor the degree of Doctor of
  47. nips08_tk_final.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-NIPS-MCBoost.pdf
    13 Mar 2018: Acknowledgements. The authors are grateful to many people who have helped by proofreading drafts and providingcomments and suggestions.
  48. Real-time visual tracking of complex structures - Pattern Analysis…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2002-PAMI-tracking.pdf
    13 Mar 2018: Real-Time Visual Trackingof Complex Structures. Tom Drummond, Member, IEEE Computer Society, and Roberto Cipolla, Member, IEEE. AbstractÐThis paper presents a novel framework for three-dimensional model-based tracking. Graphical rendering
  49. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-IVC-Stenger.pdf
    13 Mar 2018: In particular, Gavrila[8]examines the problem of detecting pedestrians. Chamfermatching [3] is used to detect humans in different poses,and detecting people is formulated as a template match-ing problem.
  50. Scaling digital screen reading with one-shot learning and…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-WACV-scaling-digital-meters.pdf
    9 Apr 2022: Background images are taken froma dataset of images containing people. This is also appro-priate for transfer to real world as person reflection on themeter screens is typical.
  51. Embodied Visual Navigation With Automatic Curriculum Learning in Real …

    mi.eng.cam.ac.uk/~cipolla/publications/article/2021-RA-embodied-visual-navigation.pdf
    28 Jun 2021: The UAV wasable to fly in-between legs of a camera tripod, through doorways,and even around moving people on many occasions withouta single collision.

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