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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.

20 Feb 2018: Spoken dialogue systems (SDS) offer a naturalway for people to interact with computers.

13 Mar 2018: J. Black. Attractive people: Assembling loose-limbed modelsusing non-parametric belief propagation. InNIPS.

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.

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

13 Mar 2018: 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,

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

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.

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.

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.

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.

13 Mar 2018: 20] R. Urtasun, D. Fleet, and P. Fua. 3D people tracking withGaussian process dynamical models.

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

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.

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.

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

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

13 Mar 2018: Faster moving objects, like oncoming traffic and people,often yield sparser feature tracks than stationary objects.

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.

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.