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A Pose-Wise Linear Illumination Manifold Model for Face Recognition…
mi.eng.cam.ac.uk/~cipolla/publications/article/2007_CVIU_paper2.pdf13 Mar 2018: also see [27]). In AFR tests, such methods are usually outperformed by meth-. ... the data as test input. In all tests, both training data for each person in the gallery,. -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2015-ICCV-relocalisation-arXiv.pdf13 Mar 2018: This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting. ... Train and test im-ages are taken from distinct walking paths and not sampledfrom the same trajectory making the regression -
tr.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/prager_tr436.pdf28 Jun 2002: 1000of an inch. apart. In the second recording, 100 slices were recorded 0.02 mm apart.After decompression, a patch of 147 119 pixels was extracted from the middle of. ... Determination of scan-plane motion using speckle decorrelation: theoretical -
Large scale labelled video data augmentation for semantic…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-ICCV-label-propagation.pdf13 Mar 2018: We obtained propagated labels for all the images in thetrain, test and validation datasets, however we use only thelabels in the training dataset in the experiments describedhere. ... or Hand labels. The graph on the right shows class accuracy and IoU -
Shadows in three-source photometric stereo Carlos Hernández1 George…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-ECCV-faces.pdf13 Mar 2018: 2 Hernández et al. test our hypothesis. Therefore the problem of detecting shadows becomes moredifficult. ... 3 top. Thenormalized images ci‖c‖ in the middle of Fig. 3 allow the algorithm to easily detect. -
Ghostscript wrapper for…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-tensor.pdf13 Mar 2018: correlations chosen from the list is performed to categorize. a new test video. ... scenarios. Leave-one-out cross-validation was performed. to test the proposed method, i.e. -
Discrete neural representations for explainable anomaly detection…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-WACV-anomaly-detection.pdf13 Mar 2023: Anomaly detection metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly. ... Middle column shows thesaliency maps produced by passing the input frame through theprediction network. -
thesis.dvi
mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniDiss05.pdf16 Feb 2008: the speech from the test speaker. These Speaker-Dependent (SD) models are usually. ... transforms the original lattice to a form (see Figure 3.1,middle) that contains. -
Model-Based 3D Tracking of an Articulated Hand B. Stenger ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-CVPR-Stenger-hand.pdf13 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. -
Int J Comput Vis (2012) 100:203–215DOI 10.1007/s11263-011-0461-z…
mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-Shallow-trees.pdf13 Mar 2018: pression is minimised (middle). An optimal short tree is built on theminimum expression (right). ... 8(left) and Fig. 9(left). The six test sets werecreated by randomly perturbing the train sets.
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