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  2. newsletter.indd

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2005-Insight-Tracking-Crowds.pdf
    7 Nov 2014: People. buy tickets and may use them that day or the following month. ... Detailed models of how people walk and interact in crowds underpin their software.
  3. 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.
  4. 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.
  5. 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.
  6. doi:10.1016/j.patrec.2008.04.005

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PR-car-video-database.pdf
    28 Jul 2009: 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).
  7. humanbody_cviu.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2011-CVIU-SVR.pdf
    13 Mar 2018: A represen-. tative parametric model is SCAPE (Shape Completion. and Animation for PEople) [4], which is a data-driven. ... in Fig. 9. The GPLVM model captures the shape vari-. ation among different people, and it is able to generate.
  8. Hierarchical Kinematic Probability Distributions for 3D Human Shape…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf
    9 Apr 2022: SCAPE:Shape completion and animation of people. In ACM Trans-actions on Graphics (TOG) - Proceedings of SIGGRAPH,volume 24, pages 408–416, 2005. ... 9] Kiam Choo and D.J. Fleet. People tracking using hybridmonte carlo filtering.
  9. This article appeared in a journal published by Elsevier. ...

    mi.eng.cam.ac.uk/~cipolla/publications/article/2009-CVIU-face-manifold.pdf
    13 Mar 2018: people they represent are the same.
  10. The State Based Mixture of Experts HMM with Applications ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tuerk_thesis.pdf
    2 Feb 2002: environment. Furthermore, I would like to take the opportunity to thank all the unnamed people.
  11. TAN, BUDVYTIS, CIPOLLA: INDIRECT DEEP STRUCTURED LEARNING 1 Indirect…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2017-BMVC-3D-body-indirect.pdf
    13 Mar 2018: artificially generated 3D human body images (using SMPL [2]) and on real images from theUnite the People dataset [9]. ... within the range of values ob-served in the Unite The People dataset [9].
  12. Model-Based Hand Tracking Using aHierarchical Bayesian Filter Björn…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2006-PAMI-detection-tracking.pdf
    13 Mar 2018: 7, pp. 287-298, 1971. [10] K. Choo and D.J. Fleet, “People Tracking Using Hybrid MonteCarlo Filtering,” Proc.
  13. Assisted Video Object LabelingBy Joint Tracking of Regions and ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-ICCV-workshop-assistedlabels.pdf
    13 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
  14. Spatio-Temporal Clustering of Probabilistic Region Trajectories Fabio …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-ICCV-Galasso-ST.pdf
    13 Mar 2018: a vision system may be employed to detect. pieces of clothing, human silhouettes, or a moving crowd.Contemporary people detectors achieve this goal by. ... As discussed in Sec. 4, our modelmay be employed to learn different motion patterns but thisstudy
  15. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackingpdf
    28 Jul 2009: static camera on topof a screen showing different people pointing their fist to-wards the camera in order to control a screen pointer. ... Example frames of these twodatasets are shown in Figure4. The hand dataset containsmotion blur, hand pose changes,
  16. ACCEPTED FOR PUBLICATION IN IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH,…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/IEEEACMTransASLP2022_Ragni_Confidence.pdf
    11 Apr 2022: A. Ragni is now with the Departmentof Computer Science, University of Sheffield, Sheffield, S10 2TN, UK, e-mail:(see https://www.sheffield.ac.uk/dcs/people/academic/anton-ragni).
  17. doi:10.1016/j.patrec.2008.04.005

    mi.eng.cam.ac.uk/~cipolla/publications/article/2009-PR-car-video-database-report.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).
  18. X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf
    9 Apr 2022: Usu-ally these systems are used for post event analysis or onlineevent detection, in automatic settings object detectors (e.g.people, faces) are typically used. ... people pushingeach other next to a road, (b) interpreting the anomaly re-.
  19. 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).
  20. Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf
    28 Jun 2021: 2. Alldieck, T., Magnor, M., Bhatnagar, B.L., Theobalt, C., Pons-Moll, G.: Learningto reconstruct people in clothing from a single rgb camera.
  21. Thermal and reflectance based personal identification methodology…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2010-PR-thermal-faces.pdf
    13 Mar 2018: 6. The practical importance of achievingrecognition robustness in the presence of corrective eyewear canbe seen by noting that in the US in 2000 roughly 96 million people,or 34% of the ... In the former case, we assumedthat test data corresponded to one
  22. 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).
  23. Ghostscript wrapper for C:\Documents and Settings\mike\My…

    mi.eng.cam.ac.uk/~cipolla/archive/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.
  24. Segmentation and Recognition using Structurefrom Motion Point Clouds…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-ECCV-video-segmentation.pdf
    13 Mar 2018: Faster moving objects, like oncoming traffic and people,often yield sparser feature tracks than stationary objects.
  25. Real-time visual tracking of complex structures - Pattern Analysis…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2002-PAMI-realtime-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
  26. Silhouette Coherence for CameraCalibration under Circular Motion…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007-PAMI-coherence.pdf
    13 Mar 2018: tion, making them available to people without physical access. Recently, a number of promising multiview stereo reconstruc-.
  27. Hierarchical Part-Based Human Body PoseEstimation R. Navaratnam∗ A.…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-BMVC-Navaratnam-hierarchical.pdf
    13 Mar 2018: J. Black. Attractive people: Assembling loose-limbed modelsusing non-parametric belief propagation. InNIPS.
  28. 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
  29. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation-arXiv.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.
  30. Multiview Geometry: Profiles and Self-Calibration Paulo Ricardo dos…

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_phd-thesis.pdf
    22 May 2001: During this period I have benefited from the help of many people, but most notably. ... Paul Beardsley, Dr. Joe Mundy and Prof. Andrew Blake. Many people from the Engineering Depart-.
  31. Probabilistic 3D Human Shape and Pose Estimation From Multiple…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-CVPR-3D-body-shape-in-wild.pdf
    9 Apr 2022: bastian Thrun, Jim Rodgers, and James Davis. SCAPE:. Shape completion and animation of people. ... people in natural scenes - the importance of multiple scene. constraints.
  32. Semantic Transform: Weakly Supervised Semantic Inference for Relating …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-ICCV-Shankar-attrirbutes.pdf
    13 Mar 2018: For instance, the choice of people for the interestingattribute of a movie, song or photo is more or less aesthetic.On the other hand, whether a person is looking angry, sador ... While the OSR dataset contains the images of natural scenes,PubFig dataset
  33. Expressive Visual Text-To-Speech Using Active Appearance Models…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-CVPR-Talking-Head-copy.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.
  34. Towards Person Authentication by Fusing Visual and Thermal…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/contributionToEditedBook/2007-MM-chapter1.pdf
    13 Mar 2018: 5. The practical importance of this canbe seen by noting that in the US in 2000 roughly 96 million people, or 34% of the total population, woreprescription glasses [42]. ... In theformer case, we assumed that test data corresponded to one of people in
  35. CHEN, ROBERTSON, CIPOLLA: BODY SHAPES FROM SINGLE VIEW MEASUREMENTS…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-BMVC-Metail.pdf
    13 Mar 2018: Anguelov, P. Srinivasan, D. Koller, S. Thrun, and J. Rodgers. SCAPE: Shape com-pletion and animation of people.
  36. DigiFace-1M: 1 Million Digital Face Images for Face Recognition

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2023-WACV-DigiFace-1M-face-recognition.pdf
    13 Mar 2023: RandomizeColor. DensityThickness. RandomizeColor. DensityThickness. Style. Figure 3. Randomizing the hair style makes the problem unnec-essarily difficult (see the bottom row), as most people maintainsimilar hair styles. ... While hair style canchange
  37. IFA_ Toshiba shows advanced image detection prototypes - Business -…

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2008-MacWorld-IFA-gesture-interface.pdf
    10 Sep 2008: show. It is also much better at picking out a single user from a crowdand keeping locked on them rather than getting confused by the hands of other people in itspicture,
  38. 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.
  39. MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2018-IV-multinet.pdf
    3 May 2018: Ng. End-to-end people detectionin crowded scenes. In Proceedings of the IEEE Conference onComputer Vision and Pattern Recognition, pages 2325–2333, 2016.
  40. On Person Authentication by Fusing Visual and Thermal Face ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-AVSS-Arandjelovic-authentication.pdf
    13 Mar 2018: The practical importance of this can be seen bynoting that in the US in 2000 roughly 96 million people, or34% of the total population, wore prescription glasses [18]. ... 1-to-N and 1-to-1 matching scenarios. In the former case,we assumed that test data
  41. Ghostscript wrapper for C:\Documents and Settings\mike\My…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/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.
  42. Discrete neural representations for explainable anomaly detection…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-WACV-anomaly-detection.pdf
    13 Mar 2023: is anomalous motion in the scene dueto people pushing each other in a train station, or someonewalking in the wrong direction?
  43. Model-Based 3D Tracking of an Articulated Hand B. Stenger ...

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

    mi.eng.cam.ac.uk/~cipolla/archive/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.
  45. Int J Comput VisDOI 10.1007/s11263-012-0563-2 A Performance…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-3D-interestpoints.pdf
    13 Mar 2018: Some methods specify the location of in-terest points in an image, either known by design (Rajanand Davidson 1989), or hand labelled by multiple people(Heath et al.
  46. eccv_final_77.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-ECCV-single-view-reconstruction.pdf
    13 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.
  47. Expressive Visual Text-to-Speech Using Active Appearance Models

    mi.eng.cam.ac.uk/~cipolla/archive/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.
  48. A Pose-Wise Linear Illumination Manifold Model for Face Recognition…

    mi.eng.cam.ac.uk/~cipolla/archive/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.
  49. SENGUPTA ET AL.: PROBABILISTIC HUMAN SHAPE & POSE WITH ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-BMVC-body-measurement-reconstruction.pdf
    9 Apr 2022: Black,and Peter V. Gehler. Unite the People: Closing the loop between 3D and 2D humanrepresentations. ... Monocular 3d pose andshape estimation of multiple people in natural scenes - the importance of multiple sceneconstraints.
  50. Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...

    mi.eng.cam.ac.uk/~cipolla/archive/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.
  51. Colour Invariants for Machine Face Recognition Ognjen…

    mi.eng.cam.ac.uk/~cipolla/archive/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.

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