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1
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84863395338
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A data-driven approach for real-time full body pose reconstruction from a depth camera
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Barcelona, Spain, Nov
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A. Baak, M. Muller, G. Bharaj, H.-P. Seidel, and C. Theobalt. A data-driven approach for real-time full body pose reconstruction from a depth camera. In Proc. of Int. Conf. on Computer Vision, pages 1092-1099, Barcelona, Spain, Nov. 2011.
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(2011)
Proc. of Int. Conf. on Computer Vision
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Baak, A.1
Muller, M.2
Bharaj, G.3
Seidel, H.-P.4
Theobalt, C.5
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2
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84874565453
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Real-time hand status recognition from RGB-D imagery
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Tsukuba, Japan, Nov
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A. D. Bagdanov, A. Del Bimbo, L. Seidenari, and L. Usai. Real-time hand status recognition from RGB-D imagery. In Proc. of Int. Conf. on Pattern Recognition, pages 2456-2459, Tsukuba, Japan, Nov. 2012.
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(2012)
Proc. of Int. Conf. on Pattern Recognition
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Bagdanov, A.D.1
Del Bimbo, A.2
Seidenari, L.3
Usai, L.4
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3
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84867730669
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Superfaces: A super-resolution model for 3D faces
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Florence, Italy, Oct
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S. Berretti, A. Del Bimbo, and P. Pala. Superfaces: A super-resolution model for 3D faces. In Proc. of Work. on Non-Rigid Shape Analysis and Deformable Image Alignment, pages 73-82, Florence, Italy, Oct. 2012.
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(2012)
Proc. of Work. on Non-Rigid Shape Analysis and Deformable Image Alignment
, pp. 73-82
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Berretti, S.1
Del Bimbo, A.2
Pala, P.3
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4
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51949090223
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In defense of nearest-neighbor based image classication
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Anchorage, Alaska, USA, June
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O. Boiman, E. Shechtman, and M. Irani. In defense of nearest-neighbor based image classication. In Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pages 1-8, Anchorage, Alaska, USA, June 2008.
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(2008)
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition
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Boiman, O.1
Shechtman, E.2
Irani, M.3
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5
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84867697201
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Human daily action analysis with multi-view and color-depth data
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Florence, Italy, Oct
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Z. Cheng, L. Qin, Y. Ye, Q. Huang, and Q. Tian. Human daily action analysis with multi-view and color-depth data. In Proc. ofWork. on Consumer Depth Cameras for Computer Vision, pages 52-61, Florence, Italy, Oct. 2012.
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(2012)
Proc. OfWork. on Consumer Depth Cameras for Computer Vision
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Cheng, Z.1
Qin, L.2
Ye, Y.3
Huang, Q.4
Tian, Q.5
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6
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84856653054
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Efficient regression of general-activity human poses from depth images
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Barcelona, Spain, Nov
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R. Girshick, J. Shotton, P. Kohli, A. Criminisi, and A. Fitzgibbon. Efficient regression of general-activity human poses from depth images. In Proc. of Int. Conf. on Computer Vision, Barcelona, Spain, Nov. 2011.
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(2011)
Proc. of Int. Conf. on Computer Vision
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Girshick, R.1
Shotton, J.2
Kohli, P.3
Criminisi, A.4
Fitzgibbon, A.5
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7
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84856682655
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Kinecting the dots: Particle based scene flow from depth sensors
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Barcelona, Spain, Nov
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S. Hadfield and R. Bowden. Kinecting the dots: Particle based scene flow from depth sensors. In Proc. of Int. Conf. on Computer Vision, pages 2290-2295, Barcelona, Spain, Nov. 2011.
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(2011)
Proc. of Int. Conf. on Computer Vision
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Hadfield, S.1
Bowden, R.2
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8
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84884957261
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Florence 3D action dataset
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http://www.micc.unifi.it/vim/datasets/3dactions/. Florence 3D action dataset, 2013.
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(2013)
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9
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77956552331
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Action recognition based on a bag of 3D points
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San Francisco, California, USA, June
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W. Li, Z. Zhang, and Z. Liu. Action recognition based on a bag of 3D points. In Proc. of Work. on Human Communicative Behavior Analysis, pages 9-14, San Francisco, California, USA, June 2010.
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(2010)
Proc. of Work. on Human Communicative Behavior Analysis
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Li, W.1
Zhang, Z.2
Liu, Z.3
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11
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80052593541
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Real-time classification of dance gestures from skeleton animation
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Vancouver, Canada, Aug
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M. Raptis, D. Kirovski, and H. Hoppe. Real-time classification of dance gestures from skeleton animation. In Proc. of ACM SIGGRAPH/Eurographics Symp. on Computer Animation, pages 147-156, Vancouver, Canada, Aug. 2011.
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(2011)
Proc. of ACM SIGGRAPH/Eurographics Symp. on Computer Animation
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Raptis, M.1
Kirovski, D.2
Hoppe, H.3
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12
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80052878786
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Real-time human pose recognition in parts from single depth images
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Colorado Springs, Colorado, USA, June
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J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from single depth images. In Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pages 1-8, Colorado Springs, Colorado, USA, June 2011.
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(2011)
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition
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Shotton, J.1
Fitzgibbon, A.2
Cook, M.3
Sharp, T.4
Finocchio, M.5
Moore, R.6
Kipman, A.7
Blake, A.8
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13
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84871393884
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Robust 3D action recognition with random occupancy patterns
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Florence, Italy, Oct
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J. Wang, Z. Liu, J. Chorowski, Z. Chen, and Y. Wu. Robust 3D action recognition with random occupancy patterns. In Proc. of European Conf. on Computer Vision, pages 1-8, Florence, Italy, Oct. 2012.
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(2012)
Proc. of European Conf. on Computer Vision
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Wang, J.1
Liu, Z.2
Chorowski, J.3
Chen, Z.4
Wu., Y.5
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14
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84866672692
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Mining actionlet ensemble for action recognition with depth cameras
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Providence, Rhode Island, USA, June
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J. Wang, Z. Liu, Y. Wu, and J. Yuan. Mining actionlet ensemble for action recognition with depth cameras. In Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pages 1-8, Providence, Rhode Island, USA, June 2012.
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(2012)
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition
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Wang, J.1
Liu, Z.2
Wu, Y.3
Yuan, J.4
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15
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84865033379
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View invariant human action recognition using histograms of 3D joints
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Providence, Rhode Island, USA, June
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L. Xia, C.-C. Chen, and J. K. Aggarwal. View invariant human action recognition using histograms of 3D joints. In Proc. of Work. on Human Activity Understanding from 3D Data, pages 20-27, Providence, Rhode Island, USA, June 2012.
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(2012)
Proc. of Work. on Human Activity Understanding from 3D Data
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Xia, L.1
Chen, C.-C.2
Aggarwal, J.K.3
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16
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84864968280
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Eigenjoints-based action recognition using naive-bayes-nearest-neighbor
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Providence, Rhode Island, USA, June
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X. Yang and Y. Tian. Eigenjoints-based action recognition using naive-bayes-nearest-neighbor. In Proc. of Work. on Human Activity Understanding from 3D Data, pages 14-19, Providence, Rhode Island, USA, June 2012.
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(2012)
Proc. of Work. on Human Activity Understanding from 3D Data
, pp. 14-19
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Yang, X.1
Tian, Y.2
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17
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84871394796
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Recognizing actions using depth motion maps-based histograms of oriented gradients
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Nara, Japan, Oct
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X. Yang, C. Zhang, and Y. Tian. Recognizing actions using depth motion maps-based histograms of oriented gradients. In Proc. of ACM Int. Conf. on Multimedia, pages 1057-1060, Nara, Japan, Oct. 2012.
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(2012)
Proc. of ACM Int. Conf. on Multimedia
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Yang, X.1
Zhang, C.2
Tian, Y.3
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