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  1. Results that match 2 of 3 words

  2. 1 SegNet: A Deep ConvolutionalEncoder-Decoder Architecture for Scene…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2016-PAMI-SegNet.pdf
    13 Mar 2018: 2. Fig. 1. SegNet predictions on urban and highway scene test samples from the wild. ... 1). Some example test resultsproduced on randomly sampled road scene images from Googleare shown in Fig.
  3. This article appeared in a journal published by Elsevier. ...

    mi.eng.cam.ac.uk/~cipolla/publications/article/2009-CVIU-face-illumination.pdf
    13 Mar 2018: Note that we make noassumptions on the nature of training or test data. ... The tests are shown in the order of increasing rawdata performance for easier visualization.
  4. 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: Top and middle row: model pro-jected on images from camera 1 and 2, respectively. ... 4. Experimental Results. Real data experiments were designed to test the proposedtracking algorithm.
  5. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-ECCV-Arandjelovic-face.pdf
    13 Mar 2018: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence.
  6. main.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-photometric-stereo-report.pdf
    13 Mar 2018: revealed (note the reconstructed surface cracks in the middle of the figurine’s back). ... of 0.41 degrees. estimates. The next experiment was designed to test this improvement by performing a light.
  7. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf
    14 Sep 2006: Our work can be seen as a type of middle ground be-tween the domains of motion segmentation and multi-bodyfactorization. ... These would in turn preventthe “spawning” of new entity hypotheses in the middle ofthe scene.
  8. 27 Oct 2015: clean test data. For the CAT system, cluster weights are estimated at the. ... with actual test data. Adaptation techniques have been used to quickly adapt ASR systems.
  9. IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 ...

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-contour-recognition-report.pdf
    13 Mar 2018: As closely as pos-sible, we use the same training and test sets. ... We test each class individually, pairedwith an equal number of background test images.
  10. 17 Sep 2008: JUD compensation parameters are derived from the joint distribution betweenthe training and test conditions. ... 1289.6 Utterance length mean and standard deviation in TREL-CRL04 test sets.
  11. Shape Context and Chamfer Matching in Cluttered Scenes A. ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2003-CVPR-Thayananthan-shape.pdf
    13 Mar 2018: Point correspondences betweentwo shapesare found by minimizing the point matchingcosts,which is the test statistic for histograms. ... 7. Figure 5: Results of hand localization. Left column: handlocalization usingshapecontext informationonly
  12. CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT SWITCHINGLINEAR DYNAMICAL…

    mi.eng.cam.ac.uk/reports/svr-ftp/rosti_tr461.pdf
    29 Jan 2004: For the evaluation, 1200test utterances (feb89, oct89, feb91, sep92), test, and a randomly selected 300 utterance subsetof the training data, train, were used. ... Thisdoes not seem to be the case in the two component systems where the test set
  13. TPAMI-0554-0706-2 1..14

    mi.eng.cam.ac.uk/~cipolla/publications/article/2007-PAMI-face-sets-draft.pdf
    13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning.
  14. Creatures great and SMAL: Recovering theshape and motion of ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2018-ACCV-3D-animal-shape.pdf
    12 Aug 2019: Average 62.8 64.4 69.5. Table 1: Accuracy of OJA onBADJA test sequences. ... Middle: Themodel has never seen an elephant, so assumes the trunk is the tail.
  15. An information-theoretic approach to facerecognition from face motion …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2006-IVC-Arandjelovic.pdf
    13 Mar 2018: Illumination conditions were mildly different in training and test sequences,see Figures 8 and 9. ... 9] B. Kepenekci, Face recognition using gabor wavelet transform., Ph.D. thesis,The Middle East Technical University (2001).
  16. 1 SegNet: A Deep ConvolutionalEncoder-Decoder Architecture for Scene…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2016-PAMI-SegNet.pdf
    13 Mar 2018: 2. Fig. 1. SegNet predictions on urban and highway scene test samples from the wild. ... 1). Some example test resultsproduced on randomly sampled road scene images from Googleare shown in Fig.
  17. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-CVPR-hand-tracking.pdf
    13 Mar 2018: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking
  18. 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: Our work can be seen as a type of middle ground be-tween the domains of motion segmentation and multi-bodyfactorization. ... These would in turn preventthe “spawning” of new entity hypotheses in the middle ofthe scene.
  19. 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: We performed 25 recognition tests, using each database for training and testing it against all the others.For each person in a database we collected a data set consisting of ... 10] B. Kepenekci. Face Recognition Using Gabor Wavelet Transform.PhD thesis,
  20. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackingpdf.pdf
    28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking
  21. This article appeared in a journal published by Elsevier. ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2009-CVIU-face-manifold.pdf
    13 Mar 2018: InAFR tests, such methods are usually outperformed by methodsfrom the third class: view-based techniques e.g. ... These were used for neither gallery data nor test inputfor the evaluation reported in this section.
  22. Model-Based 3D Tracking of an Articulated Hand B. Stenger ...

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_cvpr01.pdf
    12 May 2003: Top and middle row: model pro-jected on images from camera 1 and 2, respectively. ... 4. Experimental Results. Real data experiments were designed to test the proposedtracking algorithm.
  23. main.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/article/2011-PAMI-3D-Faces.pdf
    13 Mar 2018: to test our hypothesis. Therefore the problem of detecting. shadows becomes more difficult. ... The shading regularization scheme shows a smooth surface. (Fig. 5 middle) while the shape regularization scheme (Fig.
  24. BBC News - Silicon Fen shows off its wares at Cambridge showcase

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2011-BBC-Zappar.pdf
    7 Nov 2014: Her product can quickly test the way people walk by means of gyroscopes and ac-celerometers, stored in sensors strapped to the legs. ... Mrs Hodgins has witnessed many economic cycles. "Innovation at this time is one of the hardest things to do," she says
  25. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ECCV06.pdf
    17 Feb 2006: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence.
  26. PX-NET: Simple and Efficient Pixel-Wise Trainingof Photometric Stereo …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-PX-NET-photometric-normals.pdf
    9 Apr 2022: performs realistic computation of global illumination ef-fects. The first dataset is Cycles-PS-Test [16] containing 3objects. ... For completeness, we also in-clude the results after applying the test time rotation pseudo-invariance augmentation (K=10).
  27. Real-time visual tracking of complex structures - Pattern Analysis…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2002-PAMI-tracking.pdf
    13 Mar 2018: 4.1.2 RobustnessAnother experiment was established to test robustness ofthe system to occlusion of an entire camera (see Fig. ... 4.2 Multiple and Articulated Structures. 4.2.1 Hinge. A system was developed to test the tracking of a simplearticulated
  28. main.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-PAMI-photometric-stereo-report.pdf
    13 Mar 2018: revealed (note the reconstructed surface cracks in the middle of the figurine’s back). ... of 0.41 degrees. estimates. The next experiment was designed to test this improvement by performing a light.
  29. 1 SegNet: A Deep ConvolutionalEncoder-Decoder Architecture for Scene…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-PAMI-SegNet.pdf
    13 Mar 2018: 2. Fig. 1. SegNet predictions on urban and highway scene test samples from the wild. ... 1). Some example test resultsproduced on randomly sampled road scene images from Googleare shown in Fig.
  30. BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-label-propagation.pdf
    13 Mar 2018: Table 1:Quantitative test results withµ = 0.25. Note the high accuracies for PHM for Seq. ... Ex-tensive quantitative tests indicate the efficacy of our approach over generative propagationalone.
  31. TPAMI-0554-0706-2 1..14

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007-PAMI-face-sets-draft.pdf
    13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning.
  32. Semi-calibrated Near Field Photometric Stereo Fotios Logothetis1,…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-CVPR-near-field-photometric.pdf
    13 Mar 2018: Secondly, in order to test the reliability ofour approach, we considered synthetic data generated withthe Cook and Torrance reflection model [12]. ... Figure 5. Darkest (Left) and brightest (middle) samples of our realdatasets and the computed albedos
  33. The State Based Mixture of Experts HMM with Applications ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tuerk_thesis.pdf
    2 Feb 2002: 7.2 Significance tests 90. 7.3 The 1997 Broadcast News task 91. ... reference tone, will not necessarily perceive the test tone to be twice as high.
  34. CONFIDENCE ESTIMATION AND DELETION PREDICTION USINGBIDIRECTIONAL…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/SLT2018_ragni.pdf
    31 Aug 2019: Table 1. Impact of band mismatch on unsupervised training. data. The middle line shows its performance on a down-sampled setof wide-band data containing news and topical broadcasts. ... The. Language Test set Error (%)Sub Del Ins Tot. Georgian dev 26.7 10
  35. 7 Oct 2011: Speech recognition signalsX Training dataY Test dataU Hidden variablesy Observation feature vectorx Clean speechn Additive noiseh Convolutional noiseα Phase factorβ Power of spectrums Static feature vector, 2 Vectors with rst- and ... in the test data.
  36. Layered motion segmentation and depth ordering by tracking edges -…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2004-PAMI-motionsegmentation.pdf
    13 Mar 2018: A regionlabeling can be produced from an edge labeling, butambiguities may still be present—specifically, a singleregion in the middle of a foreground object may be a holethrough to the background, ... A sample of the 34 test sequences and their
  37. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-CVPR-hand-trackerpdf.pdf
    28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking
  38. 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: Table 3: Average length and width errors (mm) on real val/test data. ... Pool at test timePredicted segmentation Hand segmentationLength error Width error Length error Width error.
  39. This article appeared in a journal published by Elsevier. ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2009-CVIU-face-illumination.pdf
    13 Mar 2018: Note that we make noassumptions on the nature of training or test data. ... The tests are shown in the order of increasing rawdata performance for easier visualization.
  40. 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: avoid bias), resulting in a total of 600 pairwise compar-isons per preference test. ... Scores shown as percentages of all votes for: (left) all emotions, (middle)neutral, and (right) angry.
  41. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-CVPR-hand-trackingpdf.pdf
    28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking
  42. Real-time visual tracking of complex structures - Pattern Analysis…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2002-PAMI-realtime-tracking.pdf
    13 Mar 2018: 4.1.2 RobustnessAnother experiment was established to test robustness ofthe system to occlusion of an entire camera (see Fig. ... 4.2 Multiple and Articulated Structures. 4.2.1 Hinge. A system was developed to test the tracking of a simplearticulated
  43. Do the maths - Times Online

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2009-Sunday-Times-Maths.pdf
    7 Nov 2014: A step forward, in the view of many educationists, isthe recent decision by the children’s secretary, Ed Balls, to dropthe stage-3 Sats tests, which were demoralising many teachers.Celia
  44. 9 Aug 2005: Department of EngineeringUniversity of Cambridge! " $#%&' ( ) " ,%-.) / 0 213. George Francis HarpurQueens’ College. February 1997. A dissertation submitted forthe degree of Doctor of Philosophy. at the University of Cambridge. Summary. The
  45. Canonical Correlation Analysis of Video VolumeTensors for Action…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-PAMI-CCA-action-recognition.pdf
    13 Mar 2018: NN classification by sum of selected canonicalcorrelations is performed to categorize a new test video. ... middle, bottom rows, respectively. Fig. 9. Confusion matrix of the TCCA method for hand gesture.
  46. Layered motion segmentation and depth ordering by tracking edges -…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2004-PAMI-motionsegmentation.pdf
    13 Mar 2018: A regionlabeling can be produced from an edge labeling, butambiguities may still be present—specifically, a singleregion in the middle of a foreground object may be a holethrough to the background, ... A sample of the 34 test sequences and their

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