英文论文: [1]A Survey on Human Performance Capture and Animation. JCST 2017. DOI 10.1007/s11390-017-1742-y [2]Toward Accurate Realtime Marker Labeling for Live Optical Motion Capture. CGI 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 Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2015: Volume 34, Issue 4,Pages, 119:1-119:10 [9]Planning interactive task for intelligent characters. Comp. Anim. Virtual Worlds 2012, 23: 547–557. [10]Exploring Non-Linear Relationship of Blendshape Facial Animation. Comput. Graph. Forum 30(6): 1655-1666 (2011) [11]Modeling Style and Variation in Human Motion. ACM Siggraph/Eurographics Symposium on Computer Animation 2010: 21-30 [12]Parallelizing continuum crowds. ACM VRST 2010: 231-234 [13]A semantic environment model for crowd simulation in multilayered complex environment. ACM VRST 2009: 191-198 [14]Indexing and retrieval of human motion data by a hierarchical tree. ACM VRST 2009: 207-214 [15]Pose Synthesis Using the Inverse of Jacobian Matrix Learned from Examples. IEEE VR 2007: 99-106 [16]CrowdViewer: from simple script to large-scale virtual crowds. ACM VRST 2007: 113-116 [17]From motion capture data to character animation. ACM VRST 2006: 165-168 [18]A robust method for analyzing the physical correctness of motion capture data. ACM VRST 2006: 338-341 [19]A novel framework for athlete training based on interactive motion editing and silhouette analysis. ACM VRST 2005: 56-58
中文论文: [1]基于局部姿态先验的深度图像3D人体运动捕获方法. 软件学报,2016.(中国计算机图形学大会 2016, 最佳论文) [2]单张图片自动重建带几何细节的人脸形状. 计算机辅助设计与图形学学报. 2016.(中国计算机图形学大会 2016) [3]视频驱动的语义表情基动画方法. 计算机辅助设计与图形学学报. 27(5): 873-882, 2015.(中国计算机图形学大会 2014). [4]基于二阶倒立摆的人体运动合成,计算机学报37(10): 2014, 2187-2195. [5]人体运动的风格图模型. 计算机辅助设计与图形学学报. 25(12): 1910-1917, 2013. [6]支持表情细节的语音驱动人脸动画. 计算机辅助设计与图形学学报. 2013;25(6):890-9. [7]人体运动仿真综述. 计算机研究与发展, 2010, 47(8): 1354-1361. [8]一种基于混合模型的实时虚拟人服装动画方法. 计算机研究与发展, 2010, (01): [9]人体运动的函数数据分析与合成. 软件学报, 2009, (06): 1664-1672 [10]基于物理的人体空中运动仿真. 软件学报, 2008, 19 (12): 3228-3236 [11]基于局部支撑姿态的逆运动学求解. 计算机学报, 2007, 30 (11): 1982-1988 [12]三维服装仿真中的“服装-人体”快速冲突检测及响应算法. 计算机研究与发展, 2006, 43 (02): 356-361 [13]用距离几何求解一类几何约束问题. 计算机学报, 2005, 28 (07): 1242-1247 [14]一类构造性几何不等式的机器证明. 计算机学报, 2003, 26 (07): 769-778
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