About me

Shihong Xia is a professor at the Institute of Computing Technology, CAS. He is leading a research group working on human animation, facial animation, user interface, motion capture and motion analysis.

Contact Info
Tel:86 10 62600852 

For more details, please refer to http://humanmotion.ict.ac.cn/en/index.html

Research Areas

Computer Graphics, Virtual Reality, Artificial Intelligence


1.A Survey on Human Performance Capture and Animation. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 2017. DOI 10.1007/s11390-017-1742-y

2.Toward Accurate Realtime Marker Labeling for Live Optical Motion Capture. Computer Graphics International 2017. DOI 10.1007/s00371-017-1400-y.

3.Rigidity Controllable As Rigid As Possible Shape Deformation. Graphical Models,DOI:http://dx.doi.org/10.1016/j.gmod.2017.02.005, 2017

4.Data-Driven Shape Interpolation and Morphing Editing. Computer Graphics Forum, 2016. DOI: 10.1111/cgf.12991

5.Data-driven Inverse Dynamics for Human Motion. ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2016: Volume 35 Issue 6, Pages, 163:1-163:12.

6.Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling. ACM Transactions on Graphics, vol. 35(5), Pages, 158:1-17, 2016

7.Realtime 3D eye gaze animation using a single RGB camera. ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2016: Volume 35 Issue 4, Pages, 118:1-118:14

8.Realtime Style Transfer for Unlabeled Heterogeneous Human Motion. ACM SIGGRAPH 2015/ACM Transactions on Graphics 2015. Volume 34, Issue 4,Pages, 119:1-119:10

9.A Particle Filtering Method for Muscle Tissue Segmentation from MRI Images. Proc. of the 6th European Conference of the International Federation for Medical and Biological Engineering IFMBE Proceedings Volume 45, 2014, pp 118-121.

10.Automatic Gait Motion Capture with Missing-marker Fillings. Proc. of the 22nd International Conference on Pattern Recognition (ICPR 2014): 2507-2512.

11.A New Simple Method for Kinematic Detection of Gait Events. Proceedings of the International Congress on Sports Science Research and Technology Support 2013. Vilamoura, Algarve, Portugal, 20-22 September, 2013. page25-29.

12.Planning interactive task for intelligent characters. Comp. Anim. Virtual Worlds 2012, 23: 547–557.

13.Building Local K-d Tree for Flexibly Labeling Articulated Point Sets. BIODEVICES 2011: 288-294

14.Motion Control with Intentions for Virtual Assembly. HCI (15) 2011: 248-257

15.Layered interpolation for interactive avatar control. VRCAI 2011: 49-58

16.Exploring Non-Linear Relationship of Blendshape Facial Animation. Comput. Graph. Forum 30(6): 1655-1666 (2011)

17.Evoking Panic in Crowd Simulation. T. Edutainment 6: 79-88 (2011)

18.Modeling Style and Variation in Human Motion. ACM Siggraph/Eurographics Symposium on Computer Animation 2010: 21-30

19.Motion track: Visualizing variations of human motion data. PacificVis 2010: 153-160

20.Parallelizing continuum crowds. VRST 2010: 231-234

21.Continuum crowd simulation in complex environments. Computers & Graphics 34(5): 537-544 (2010)

22.A performative user interface for the control of responsive character. IUCS 2010: 250 - 256. Digital Object Identifier: 10.1109/IUCS.2010.5666005 

23.Estimating human body segment parameters using motion capture data. IUCS 2010: 243 - 249. Digital Object Identifier: 10.1109/IUCS.2010.5666224

24.Instruction level motion control of virtual human for maintenance process simulation. In Audio Language and Image Processing (ICALIP), 2010 International Conference on 2010 Nov 23 (pp. 1289-1294). IEEE.

25.Recent advances on virtual human synthesis. Sci China Ser F-Inf Sci, 2009, 52(5): 741–757, doi:10.1007/s11432-009-0088-7

26.Crowds flow in complex environment. CAD/Graphics 2009: 54-57

27.Evaluating simplified air force models for cloth simulation. CAD/Graphics 2009: 81-86

28.Learning local models for 2D human motion tracking. ICIP 2009: 2589-2592

29.A semantic environment model for crowd simulation in multilayered complex environment. VRST 2009: 191-198

30.Indexing and retrieval of human motion data by a hierarchical tree. VRST 2009: 207-214

31.Efficient motion data indexing and retrieval with local similarity measure of motion strings. The Visual Computer 25(5-7): 499-508 (2009)

32.Facial animation by optimized blendshapes from motion capture data. Journal of Visualization and Computer Animation 19(3-4): 235-245 (2008)

33.Articulated Skeleton Fitting. CAD/Graphics 2007: 395-400 

34.A Novel Method for Cloth-Body Collision Detection. HCI (12) 2007: 1056-1063 

35.Automatic Joints Extraction of Scanned Human Body. HCI (12) 2007: 286-293 

36.Pose Synthesis Using the Inverse of Jacobian Matrix Learned from Examples. VR 2007: 99-106 

37.CrowdViewer: from simple script to large-scale virtual crowds. VRST 2007: 113-116 

38.Motion Editing with the State Feedback Dynamic Model. Computer Graphics International 2006: 348-359 

39.A Video-Driven Approach to Continuous Human Motion Synthesis. Computer Graphics International 2006: 614-621 

40.Style Animations Generated from Dynamic Model. Edutainment 2006: 1018-1026 

41.Motion synthesis in motion reconstruction based on video. MMM 2006 

42.From motion capture data to character animation. VRST 2006: 165-168 

43.A robust method for analyzing the physical correctness of motion capture data. VRST 2006: 338-341 

44.A fast and handy method for skeleton-driven body deformation. Computers in Entertainment 4(4): (2006) 

45.Least-squares fitting of multiple M-dimensional point sets. The Visual Computer 22(6): 387-398 (2006) 

46.Inferring 3D Body Pose from Uncalibrated Video. RoboCup 2005: 553-560 

47.A novel framework for athlete training based on interactive motion editing and silhouette analysis. VRST 2005: 56-58 

48.Total least squares fitting of point sets in m-D[C]. computer graphics international, 2005: 82-86.

49.A Novel Computer Vision Technique Used On Sport Video. WSCG 2004: 545-553