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13 Mar 2018: Afterautomatic localization using a cascaded detector [24] and cropping to the uniform scaleof 5050 pixels, images of faces were histogram equalized, see Figure 6. ... 24] P. Viola and M. Jones. Robust real-time face detection.IJCV, 57(2):137–154, 2004.

13 Mar 2018: Manuscript received 25 July 2006; revised 24 Oct. 2006; accepted 25 Oct.2006; published online 18 Jan. ... The ConstrainedMutual Subspace Method (CMSM) [24], [37] is closely relatedto the approach of this paper.

13 Mar 2018: Both, centretemplateandmarginalizedtemplateshow betterclassificationperfor-mancethanthe trainedclassifier, in particular in the high detection range.At de-tectionratesof 0.99 thefalsepositive ratefor thecentretemplateis 0.24, wherasitis 0.64for

13 Mar 2018: 21] for upper bodypose estimation. In [24] it is suggested to partition the parameter spaceof a 3D hand model using a multi-resolution grid. ... range. At detection rates of 0.99 the false positiverate for the centre template is 0.24, wheras it is

13 Mar 2018: 24]. The dropout probabilities, pi,could be optimised. However we leave them at the standard. ... 24] Yarin Gal and Zoubin Ghahramani. Bayesian convolutionalneural networks with bernoulli approximate variational inference.arXiv:1506.02158, 2015.

13 Mar 2018: 329–338. [24] W. Matusik, C. Buehler, R. Raskar, S. Gortler, and L. ... a) Déesse Hécate (36 images de 14 megapixels). (b) Bronze chinois (24 images de 6 megapixels).

13 Mar 2018: 24]. In addition, free software like Blender1. or CloudCompare2 can be used to manually annotate the. ... 30, no. 4, p. 87, 2011. [24] Y.-S. Wong, H.-K. Chu, and N.

13 Mar 2018: They have advanced the state of theart in object detection [24] and human pose regression [25].However these have limited their regression targets to liein the 2-D image plane. ... St Mary’s Church 1487 530 80 x 60m N/A 4.48m, 5.65 2.65m, 4.24 2.45m,

13 Mar 2018: Object View! normalised 24 2 4 H H #cube. Z n @ D$L Z¡ LD ' n$ $ n[ D[ n[ ' D ¡¢ J n D Z n D @ n L 3LD Z ... variousimages! normalised is expectedto beapproximatelyone. Note that the variationsin. H H are much larger then variationsin 24 2

13 Mar 2018: 24]. Taking the latter approach, wematch manifolds using canonical correlations. Canonical Correlation Analysis (CCA)(also called canonical or principal angles) [24] compares manifolds by measuring the an-gles between them (see ... InProc. ACCV, pages

13 Mar 2018: F =. 24 0 0 c0 0 da b e. 35 : (4). ... F =. 24 0 0. 0 sin0. 0 0 0 cos0sin cos p1 2 02.

13 Mar 2018: 35 and P02 =. 24. a11 a12 a14 a13a21 a22 a24 a230 0 0 a33. ... F =. 24. 0 0 a24a330 0 a14a33. a24a11 a14a21 a24a12 a14a22 a24a13 a14a23.

13 Mar 2018: 73&)24!""K!{¢ I1[TS[Ma_XJ&:a[L5U£ [M3[TOL(¤O,Ls¥UIUL51Uc5=)0F0324!95c = c<-Cj,j,j. ... L5t$U3Ï[L$b,Ã=¿)71>'24<!'<;/"642B'0324),!"csjj&$. s"03)w!>Æ;24-),646B8% Ð!<24!$03<?71624!8732B!03!

13 Mar 2018: 7 24.9 61.5 38.6 15.2 17.9 41.0 50.5. ... 8 69.4 58.4 83.0SegNet (SM) 46.1 79.7 16.3 58.9 30.4 50.1 24.9 43.8 58.7.

13 Mar 2018: average 92.0 64.1 58.3 17.0std 7.8 9.2 24.3 8.8. video sequences of the person in arbitrary motion (signif-icant translation, yaw and pitch, ... cluded and expression variant faces from a single sample per class.PAMI, 24(6), 2002.

13 Mar 2018: PAMI,vol. 24, no. 5, pp. 603–619, 2002. [15] R. Achanta, A.

13 Mar 2018: Cambridge University Press, 1999. [FB81] FISCHLER M., BOLLES R.: Random sample consensus:A paradigm for model-fitting with applications to image analysisand automated cartography.CACM 24, 6 (1981), 381–395.

13 Mar 2018: Sad 32.4 9.3 46.1 9.9 21.6 8.1Tender 24.5 8.5 71.6 9.3 3.9 3.8. ... Soong, and Lei Xie.Photo-real talking head with deep bidirectional LSTM.In 2015 IEEE International Conference on Acoustics,Speech and Signal Processing, ICASSP 2015, SouthBrisbane,

13 Mar 2018: 01. 20. 24. 2.5. 2. 1.5. 1. 0.5. 0. 0.5. 1. ... In Proc. IEEE European Conference onComputer Vision, pages 3–19, 2002. [24] G.

13 Mar 2018: 24, NO. 7, JULY 2002. Fig. 1. Computing the normal component of the motion and generator. ... Even if the cameras andstructures can move independently, there are only 24 degreesof freedom in the world, whereas the system of six trackerscontains 36.

13 Mar 2018: 24]. Taking the latterapproach, we match manifolds using canonical correlations.Canonical Correlation Analysis (CCA) (also called canoni-. ... In Proc. ACCV, pages 551–560,Hyderabad, India, January 2006. [24] L. Wolf and A.

13 Mar 2018: MCBoost: Multiple Classifier Boosting for PerceptualCo-clustering of Images and Visual Features. Tae-Kyun Kim. Sidney Sussex CollegeUniversity of Cambridge. Cambridge CB2 3HU, UKtkk22@cam.ac.uk. Roberto CipollaDepartment of EngineeringUniversity of

13 Mar 2018: BMVC 2010 doi:10.5244/C.24.57. Citation. Citation. {}. Citation. Citation. {}. Citation. Citation. {}. ... 40 264 126 40 264 126 23.26 231 127 12.23. 60 222 143 60 222 143 37.24 212 142 14.38.

13 Mar 2018: 3-24 Single Lens Stereo with a Biprism. Doo Hyun Lee, In So Kweon", Roberto CipollaA.

13 Mar 2018: M =m1|m2|. |mN. (24). CC matching. The first canonical correlation betweentwo subspaces spanned by bases B1 and B2 can be com-puted as the largest singular value of the matrix ... IEEE Transactions onPattern Analysis and Machine Intelligence

13 Mar 2018: Cambridge University Press, 1999. [FB81] FISCHLER M., BOLLES R.: Random sample consensus:A paradigm for model-fitting with applications to image analysisand automated cartography.CACM 24, 6 (1981), 381–395.

13 Mar 2018: It is known [24] that these intersections correspond to the bitangent in images and the envelope of curves in the Hough space corresponds to a convex hull of the image curves ... Flftli Int’i ConJ Computer Vision, pp, 508-514, 1995. [24] M. Wright, A.

20 Feb 2018: 24, no. 2, pp. 395–429, Apr. 2010. [8] Pierre Lison, “Multi-policy dialogue management,” inProceedings of the SIGDIAL 2011 Conference, Strouds-burg, PA, USA, 2011, SIGDIAL ’11, pp. ... 24, no. 4,pp. 562–588, 2010. [18] T Jebara, R Kondor, and A

20 Feb 2018: Effective Handling of Dialogue State in the Hidden. Information State POMDP-based Dialogue Manager. MILICA GAŠIĆ and STEVE YOUNG. Cambridge University Engineering Department. Effective dialogue management is critically dependent on the

13 Mar 2018: 2 Related WorkSemantic pixel labelling was initially approached with TextonBoost [24], TextonForest [23]and Random Forest Based Classifiers [25]. ... CVPR 2008. IEEE Conference on, pages 1–8. IEEE, 2008. [24] Jamie Shotton, John Winn, Carsten Rother,

13 Mar 2018: et. al [12] Tsai. et. al [24] Fathi. et. al [14] Budvytis et. ... Rehg. Motion coherent tracking with multi-label mrfoptimization. In BMVC, 2010. [24] R.

13 Mar 2018: In Furukawa and Ponce [9] and Sinha and Pollefeys [24], twodifferent ways were proposed for incorporating the powerfulsilhouette cue into the graph-cut framework while Starck et al. ... 24] S. Sinha and M. Pollefeys, “Multi-View Reconstruction Using

13 Mar 2018: ν Eν (21). 24. f =(Lνω LνL̂. 1. ν L̂νω. )êω(t) (22). ... Z. Zi(24). λ2 =f. f̂. 1. n. n. i=1. Z. Zi(25).

13 Mar 2018: 19. [24] R. Adolphs, L. Sears, J. Piven, Abnormal processing of social information from faces528in autism, J. ... 35] J. Osterling, G. Dawson, Early recognition of children with autism: a study of first559birthday home videotapes, J Autism Dev Disord 24

13 Mar 2018: The performancecan also be boosted by the use additional inference aids such asregion proposals [4], [24]. ... Bilinear-Interpolation 0.625 0 24.2 77.9 61.1 43.3 20.83 89.1 90.2 82.7 82.7 52.5 43.8 23.08 93.5

13 Mar 2018: Tien, P. Faloutsos, and F. Pighin. Expressivespeech-driven facial animation. ACM TOG, 24(4):1283–1302, 2005. ... Speech Comm., 44(14):127–140, 2004. 1, 2. [24] K. Wampler, D. Sasaki, L.

20 Feb 2018: Stochastic Language Generation in Dialogueusing Factored Language Models. François Mairesse University of Cambridge. Steve Young University of Cambridge. Most previous work on trainable language generation has focused on two paradigms: (a)using a

13 Mar 2018: The works of [23, 24] present complementary algorithms for range imageintegration. ... In: Proc. of. the ACM SIGGRAPH ‘96. (1996). 24. Zach, C., Pock, T., Bischof, H.: A globally optimal algorithm for robust TV-L1 range image integration.

13 Mar 2018: There have beenincreasing attempts to solve this problem, which embraces anumber of research issues such as view-invariant object in-stance/category recognition [11, 12, 15, 24, 32, 34], objectpose recognition ... 1.1. Related Work. There has been a

13 Mar 2018: 24.1) 9.06 (6.06) 8.37 (5.62)σ = 6 Depth error (mm). ... ACM SIGGRAPH, 24(3):536–543, 2005. 2, 4. [23] P. Stoica and Y.

13 Mar 2018: 24, NO. 7, JULY 2002. Fig. 1. Computing the normal component of the motion and generator. ... Even if the cameras andstructures can move independently, there are only 24 degreesof freedom in the world, whereas the system of six trackerscontains 36.

13 Mar 2018: al. [24]. In this work, we follow these injointly modelling appearance and semantic labels. ... Graph., vol. Vol. 24, pp. pp. 595–600, 2005. [5] C. Rother, V.

13 Mar 2018: related method of Riklin-Raviv and Shashua [24]. On the other hand, the 3D mor-. ... Measure Proposed method Majority vote, Eigenfaces KLD MSM. mean 95 43 39 24.

12 Sep 2018: 29-30 Upper advanced C225-28.5 Advanced C120-24.5 Upper intermediate B215-19.5 Intermediate B110-14.5 Elementary A25-9.5 Beginner A1. ... profes-sionals [23, 24].

13 Mar 2018: Due to the smoothness of faces, each track corre-sponds to an appearance manifold [2, 22, 24], as illustratedin Fig. ... 24] B. Moghaddam and A. Pentland. Principal manifolds and probabilis-tic subspaces for visual recognition.PAMI, 24(6), 2002.2, 3.

13 Mar 2018: t=20. t=22. t=24. t=26t=28Probabilistic. Space Carving. Error (RGB distance). Per. cent.

13 Mar 2018: Using a commercial face recognition system,FaceIt [24], they demonstrated improvements in recognition accuracy. ... Information fusion in biometrics.Pattern Recognition Letters, 24(13):2115–2125, 2003.34. A. Selinger and D.

13 Mar 2018: In this work, FMMs are synthetically repopulated in a manner that achieves bothhigher manifold sample density, as well as some generalization to unseen modesof variation (see work by Martinez [24], and ... 24] A. M. Martinez, Recognizing imprecisely

13 Mar 2018: EL2DSL) 0.76 0.74 0.79 1.00 0.00 0.26 0.06Ours (EL6DSL) 0.79 0.76 0.84 1.00 0.00 0.24 0.05. ... Image Processing, IEEE Transactions on,24(1):359–373, 2015. [11] S. Stent, R. Gherardi, B.

13 Mar 2018: Comm. of the ACM,24(6):381–395, 1981. 3. [4] M. Guttman, L. Wolf, and D.