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41 - 60 of 167 search results for People aliens |u:mi.eng.cam.ac.uk where 0 match all words and 167 match some words.
  1. Results that match 1 of 2 words

  2. 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.
  3. 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.
  4. bmvc08.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-BMVC-gesture-interface.pdf
    13 Mar 2018: people may be within the camera’sview. ... 5.1 Face recognition experiments. We have evaluated the face recognition performance using a data set containing 5 people(10 sequences per person, 50 frames per sequence).
  5. Model-Based 3D Tracking of an Articulated Hand B. Stenger ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-CVPR-Stenger-hand.pdf
    13 Mar 2018: Springer-Verlag, London, 1998. [4] C. Bregler and J. Malik. Tracking people with twists and ex-ponential maps.
  6. 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
  7. nips08_tk_final.dvi

    mi.eng.cam.ac.uk/~cipolla/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.
  8. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf
    13 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.
  9. 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
  10. system.dvi

    mi.eng.cam.ac.uk/~sjy/papers/heyo06.pdf
    20 Feb 2018: The SACTI corpus consists of task-. oriented dialogues between two people in a simulated ASR channel.
  11. 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.
  12. 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.
  13. Expressive Visual Text-to-Speech Using Active Appearance Models

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-CVPR-Talking-Head.pdf
    13 Mar 2018: In each case 10 sentences in each of the six emo-tions were evaluated by 20 people, resulting in a total sam-ple size of 1200. ... In each case 10 sentences in each emotion were evaluated by 20 different people.
  14. C:/SFWDoc/Academic/Publications/2005/BMVC_2005/FinalPaper/bmvc_05_sfwo…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-BMVC-Wongsf-realtime.pdf
    13 Mar 2018: Research in sign language recogni-tion is therefore useful in building an interface between deaf and hearing people, and alsoin developing novel human-computer interfaces. ... These 5 hand shapes were selected because people can easilytell them apart
  15. 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.
  16. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/~cipolla/archive/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
  17. 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.
  18. Semantic object classes in video: A high-definition ground truth…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2009-PR-car-video-database.pdf
    13 Mar 2018: They include fixed objects, typesof road surface, moving objects (including vehicles and people),. ... People smaller than that in image-space are often not detected (shown as red rectangles).
  19. Boosted Manifold Principal Angles for Image Set-Based Recognition…

    mi.eng.cam.ac.uk/~cipolla/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.
  20. 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.
  21. A Manifold Approach to Face Recognition from Low Quality ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-ICCV-Arandjelovic-face-recognition.pdf
    13 Mar 2018: Bouchrika and M. S. Nixon. People detection and recog-nition using gait for automated visual surveillance. ... Pontil, and T. Poggio. People recognitionand pose estimation in image sequences.

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