代表性论文
[1] Jingyao Liu, Zhigang Deng, Tianlu Mao, Zhaoqi WANG. R-CTM: A data-driven macroscopic simulation model for heterogeneous traffic. Computer Animation and Virtual Worlds[J]. 2022, [2] Yaqiang Li, Tianlu Mao, Ruoyu Meng, Qinyuan Yan, Zhaoqi Wang. DeepORCA: Realistic Crowd Simulation for Varying Scenes. Computer Animation and Virtual Worlds[J]. 2022, [3] Shaohua Liu, Haibo Liu, Yisu Wang, Jingkai Sun, Tianlu Mao. MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction. Computational Intelligence and Neuroscience[J]. 2022, 2022: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019418/.[4] 刘绍华, 李明豪, 李兆歆, 毛天露, 刘京. 一种联合采样的神经网络光场. 北京邮电大学学报. 2021, 44(6): 109-115, [5] Shi, Min, Wei, Yukun, Chen, Lan, Zhu, Dengming, Mao, Tianlu, Wang, Zhaoqi. Learning a shared deformation space for efficient design-preserving garment transfer. GRAPHICAL MODELS[J]. 2021, 115: http://dx.doi.org/10.1016/j.gmod.2021.101106.[6] Shaohua Liu, Yishu Wang, Jingkai Sun, Tianlu Mao. An efficient Spatial-Temporal model based on Gated Linear Units for trajectory prediction. Neurocomputing[J]. 2021, [7] Liu, Shaohua, Dai, Shijun, Sun, Jingkai, Mao, Tianlu, Zhao, Junsuo, Zhang, Heng. Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE[J]. 2021, 2021: http://dx.doi.org/10.1155/2021/9134942.[8] Shi, Min, Ming, Hou, Liu, Yaning, Mao, Tianlu, Zhu, Dengming, Wang, Zhaoqi, Zhang, Fan. Saliency-dependent adaptive remeshing for cloth simulation. TEXTILE RESEARCH JOURNAL[J]. 2021, 91(5-6): 480-495, http://dx.doi.org/10.1177/0040517520944248.[9] Chao, Qianwen, Bi, Huikun, Li, Weizi, Mao, Tianlu, Wang, Zhaoqi, Lin, Ming C, Deng, Zhigang. A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving. COMPUTER GRAPHICS FORUM[J]. 2020, 39(1): 287-308, http://dx.doi.org/10.1111/cgf.13803.[10] 毛天露. Multi-scale Residual Pyramid Attention Network for Monocular Depth Estimation.. Proceeding of ICPR 2020. 2020, [11] Zhaoqi Wang. How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction. Proceeding of ECCV 2020.. 2020, [12] Bi, Huikun, Mao, Tianlu, Wang, Zhaoqi, Deng, Zhigang. A Deep Learning-Based Framework for Intersectional Traffic Simulation and Editing. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS[J]. 2020, 26(7): 2335-2348, https://www.webofscience.com/wos/woscc/full-record/WOS:000542933100001.[13] 石敏, 魏育坤, 王俊铮, 毛天露. 面向不同体型特征的服装款式迁移方法. 图学学报[J]. 2019, 40(5): 866-871, http://lib.cqvip.com/Qikan/Article/Detail?id=7003140781.[14] 石敏, 魏育坤, 金相臣, 王素琴, 毛天露. 可支持跃层寻径的虚拟场景漫游方法. 系统仿真学报[J]. 2019, 31(7): 1358-1366, [15] Huang, Yingfan, Bi, HuiKun, Li, Zhaoxin, Mao, Tianlu, Wang, Zhaoqi, IEEE. STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 6281-6290, [16] 石敏, 孙科, 毛天露, 郑玲. 面向智能交通系统的仿真路网快速建模方法. 图学学报[J]. 2019, 40(3): 489-496, [17] 毛天露. A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving.. Computer Graphics Forum. 2019, [18] 石敏, 侯明, 刘亚宁, 毛天露, 王兆其. 一种基于视频数据的服装显著性预测方法. 图学学报[J]. 2019, 40(6): 1000-1007, http://lib.cqvip.com/Qikan/Article/Detail?id=7100811565.[19] 毛天露. STGAT: Modelling Spatial-Temporal Interactions for Human Trajectory Prediction. Proceeding of ICCV 2019. 2019, [20] Bi, Huikun, Fang, Zhong, Mao, Tianlu, Wang, Zhaoqi, Deng, Zhigang, IEEE. Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 10382-10391, [21] Liu, Shaohua, Liu, Haibo, Shi, Wenhao, Wang, Suqin, Shi, Min, Wang, Lina, Mao, Tianlu, Wang, D, Cadavid, AN, Liu, Y, Xu, M. Performance Analysis of Vehicle Detection Algorithm in Aerial Traffic Videos. 2019 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV)null. 2019, 59-64, [22] Liu Shaohua, Wang Suqin, Shi Wenhao, Liu Haibo, Li Zhaoxin, Mao Tianlu. Vehicle tracking by detection in UAV aerial video. Science China. Information Science[J]. 2019, 62(2): 024101-1, http://lib.cqvip.com/Qikan/Article/Detail?id=7001631089.[23] 毛天露, 何相君, 黄英凡, 蒋浩. 应急撤离场景中群体信息交流行为建模. 系统仿真学报[J]. 2018, 30(7): 2482-2488, http://lib.cqvip.com/Qikan/Article/Detail?id=675605706.[24] Jiang, Hao, Deng, Zhigang, Xu, Mingliang, He, Xiangjun, Mao, Tianlu, Wang, Zhaoqi, Spencer, SN. An Emotion Evolution based Model for Collective Behavior Simulation. ACM SIGGRAPH SYMPOSIUM ON INTERACTIVE 3D GRAPHICS AND GAMES (I3D 2018)null. 2018, http://dx.doi.org/10.1145/3190834.3190844.[25] Zhaoqi Wang. Parrallel Crowd Simulation Based on Power Law. Proceeding of ICVRV 2018. 2018, [26] Liu, Shaohua, Song, Xiyuan, Jiang, Hao, Shi, Min, Mao, Tianlu, Kiyokawa, K, Steinicke, F, Thomas, B, Welch, G. Behavioral Simulation of Passengers in a Waiting Hall. 25TH 2018 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR)null. 2018, 621-622, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000518410600127.[27] 毛天露. Simulating Waiting Hall with Mass Passengers. The 12th International Conference on E-learning and Games. 2018, [28] 石敏, 王俊铮, 毛天露, 刘亚宁. 基于物理的可交互性虚拟服装动画模拟. 系统仿真学报[J]. 2018, 30(7): 2583-2592, http://lib.cqvip.com/Qikan/Article/Detail?id=675605719.[29] 王素琴, 施文豪, 李兆歆, 毛天露. 无人机航拍视频中的车辆检测方法. 系统仿真学报[J]. 2018, 30(7): 2776-2786, http://lib.cqvip.com/Qikan/Article/Detail?id=675605744.[30] 杜晴晴, 刘绍华, 毛天露, 王华, 王兆其. 面向应急撤离的人员疏运方案可视化编辑方法. 计算机辅助设计与图形学学报[J]. 2017, 29(8): 1488-1496, http://lib.cqvip.com/Qikan/Article/Detail?id=7000252455.[31] 刘米兰, 蒋浩, 许威威, 徐明亮, 毛天露, 王兆其. 基于案例库的室内区域自动布局方法. 计算机辅助设计与图形学学报[J]. 2017, 29(1): 90-100, http://lib.cqvip.com/Qikan/Article/Detail?id=7000105389.[32] 毛天露. 基于案例库的室内区域自动布局技术. 计算机辅助设计与图形学学报. 2017, [33] 毛天露. Exploring the Effects of Group Interaction in Large Display Systems. international journal of performability engineering. 2017, [34] 刘米兰, 蒋浩, 毛天露, 王兆其. 基于复合模型的家居场景生成方法. 计算机学报[J]. 2017, 40(11): 2533-2545, http://lib.cqvip.com/Qikan/Article/Detail?id=7000398487.[35] 王兆其. 面向应急撤离仿真的人员疏运方案可 视化编辑方法. 计算机辅助 设计与图形 学学报. 2017, [36] 毛天露, 王华, 康星辰, 徐明亮, 王兆其. 复杂路网内大规模车辆运动的仿真. 计算机学报[J]. 2017, 40(11): 2466-2477, http://lib.cqvip.com/Qikan/Article/Detail?id=7000398482.[37] 石敏, 杨柳, 毛天露, 邓一文, 王素琴. 服装动画中人体运动与服装变形的相关性学习. 计算机辅助设计与图形学学报[J]. 2017, 29(10): 1941-1951, http://lib.cqvip.com/Qikan/Article/Detail?id=7000337256.[38] 王华, 徐明亮, 毛天露, 金小刚, 王兆其. 三维汽车群组动画仿真研究综述. 计算机辅助设计与图形学学报[J]. 2017, 29(2): 211-220, http://lib.cqvip.com/Qikan/Article/Detail?id=7000105834.[39] 刘米兰, 蒋浩, 毛天露, 王兆其. 基于Voronoi图的室内布局评价方法. 系统仿真学报[J]. 2016, 28(10): 2356-2361,2368, [40] Zhaoqi Wang. Groupnect: Integrating Group Interaction into Large Display System. IEEE Virtual Reality. 2016, [41] Zhaoqi Wang. A Data-driven Model for Lane-changing in Traffic Simulation. Proceeding of ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2016. 2016, [42] Deng, Yiwen, Mao, Tianlu, Shi, Min, Wang, Zhaoqi, Chen, J, Wang, DX, Ding, D, Luo, X. Cloth Deformation Prediction Based on Human Motion. 2016 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV 2016)null. 2016, 258-263, [43] 高畅, 蒋浩, 毛天露, 王兆其. 基于双重优化的连续手势识别方法. 图学学报[J]. 2015, 36(1): 102-110, http://lib.cqvip.com/Qikan/Article/Detail?id=663704750.[44] 石敏, 毛天露, 王兆其. 基于实例数据分析的多精度网格布料动画. 计算机学报[J]. 2015, 38(6): 1296-1306, http://lib.cqvip.com/Qikan/Article/Detail?id=665892788.[45] Mao, Tianlu, Wang, Hua, Deng, Zhigang, Wang, Zhaoqi. An efficient lane model for complex traffic simulation. COMPUTER ANIMATION AND VIRTUAL WORLDS[J]. 2015, 26(3-4): 397-403, https://www.webofscience.com/wos/woscc/full-record/WOS:000354264700021.[46] Wang, Hua, Mao, Tianlu, Kang, Xingchen, Wang, Zhaoqi. An all-in-one efficient lane-changing model for virtual traffic. COMPUTER ANIMATION AND VIRTUAL WORLDS[J]. 2014, 25(3-4): 385-393, https://www.webofscience.com/wos/woscc/full-record/WOS:000337524300019.[47] Shi, Min, Mao, Tianlu, Shen, X, Zhang, X, Zhou, Z, Zhang, G, Luo, X. Simulation of Cloth with Low Stretch. 2014 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV2014)null. 2014, 327-332, [48] Lv, Lei, Mao, Tianlu, Liu, Xuecheng, Wang, Zhaoqi. Optimization-based group performance deducing. COMPUTER ANIMATION AND VIRTUAL WORLDS[J]. 2014, 25(2): 171-184, https://www.webofscience.com/wos/woscc/full-record/WOS:000334273500007.[49] 毛天露. A Local Evaluation Approach for Multi-Agent Navigation in Dynamic Scenario. 2014, [50] 王华, 康星辰, 毛天露, 王兆其. 针对车辆群组动画仿真的路网语义模型. 计算机辅助设计与图形学学报[J]. 2014, 26(10): 1818-1826, http://lib.cqvip.com/Qikan/Article/Detail?id=662825607.[51] Zhaoqi Wang. Zhaoqi Wang. Modeling Interactions in Continuum Traffic. Proceeding of the IEEE VR 2014. 2014, [52] 陈明伟, 朱登明, 毛天露, 王兆其. 基于二阶锥规划的运动控制相机轨迹跟踪研究. 高技术通讯[J]. 2013, 23(8): 840-847, http://lib.cqvip.com/Qikan/Article/Detail?id=47334093.[53] Zhaoqi Wang. From Few to Many: Group Motion Bigraph for Mass Performance. The proceeding of CASA 2013. 2013, [54] 石敏, 魏孝林, 毛天露, 王兆其. 基于动态位置约束的布料变形方法. 系统仿真学报[J]. 2012, 24(9): 1910-1915, http://lib.cqvip.com/Qikan/Article/Detail?id=43056302.[55] 陈明伟, 朱登明, 毛天露, 王兆其. 基于分支定界法的运动控制相机轨迹跟踪. 系统仿真学报[J]. 2012, 24(9): 1958-1964, http://lib.cqvip.com/Qikan/Article/Detail?id=43056312.[56] 石敏, 毛天露, 王兆其, 夏时洪. 一种有效的隐式约束动力学布料动画方法. 计算机研究与发展[J]. 2012, 49(7): 1388-1397, http://lib.cqvip.com/Qikan/Article/Detail?id=42419432.[57] 石敏, 毛天露, 夏时洪, 王兆其. 布料动画方法研究进展及问题. 计算机学报[J]. 2012, 35(12): 2446-2458, http://lib.cqvip.com/Qikan/Article/Detail?id=44609622.[58] 徐腾, 毛天露, 石敏, 王兆其. 一种优化的可变形物体碰撞检测算法. 计算机仿真[J]. 2012, 29(11): 6-10,33, http://lib.cqvip.com/Qikan/Article/Detail?id=43948573.[59] 王兆其. 布料动画方法研究进展及挑战. 计算机学报. 2012, [60] 叶青, 夏时洪, 毛天露, 蒋浩. Agent-Based群体模拟中的朝向计算方法. 计算机辅助设计与图形学学报[J]. 2011, 23(8): 1349-1356, http://lib.cqvip.com/Qikan/Article/Detail?id=38804922.[61] 毛天露. Evoking panic in crowd simulation. Transactions on Edutainment VI. 2011, [62] 王兆其, 毛天露, 蒋浩, 夏时洪. 人群疏散虚拟现实模拟系统——Guarder. 计算机研究与发展[J]. 2010, 969-978, http://lib.cqvip.com/Qikan/Article/Detail?id=34161599.[63] 毛天露. Recent Advances on Human Crowd Simulation. International Journal of Virtual Reality. 2010, [64] 毛天露. 一种基于混合模型的实时虚拟人服装动画计算方法. 计算机研究与发展. 2010, [65] 毛天露, 夏时洪, 朱小龙, 王兆其. 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[J]. 2010, 8-15, http://lib.cqvip.com/Qikan/Article/Detail?id=32890898.[66] 毛天露, 夏时洪, 王兆其. 布料运动模型参数学习方法. 计算机辅助设计与图形学学报[J]. 2010, 823-826, http://lib.cqvip.com/Qikan/Article/Detail?id=33873859.[67] 李健, 毛天露, 蒋浩, 王兆其. 群组动画中的队形约束与控制方法. 计算机辅助设计与图形学学报[J]. 2010, 1158-1165, http://lib.cqvip.com/Qikan/Article/Detail?id=34471598.[68] Jiang, Hao, Xu, Wenbin, Mao, Tianlu, Li, Chunpeng, Xia, Shihong, Wang, Zhaoqi. Continuum crowd simulation in complex environments. COMPUTERS & GRAPHICS-UK[J]. 2010, 34(5): 537-544, http://www.corc.org.cn/handle/1471x/2407374.[69] 毛天露, 王兆其, 刘金刚, 李锦丹. 基于参数化运动合成的运动图构建及其应用. 计算机仿真[J]. 2009, 208-212, http://lib.cqvip.com/Qikan/Article/Detail?id=29992083.[70] 毛天露. 基于样本的服装动画方法研究. 2009, [71] 于勇, 王兆其, 夏时洪, 毛天露. 一种姿态无关的人体模型骨骼提取方法. 计算机研究与发展[J]. 2008, 45(7): 1249-1258, http://lib.cqvip.com/Qikan/Article/Detail?id=27733016.[72] 朱小龙, 毛天露, 夏时洪, 于勇. 基于双层候选集的快速人体-服装冲突检测. 计算机辅助设计与图形学学报[J]. 2008, 20(7): 925-932, http://lib.cqvip.com/Qikan/Article/Detail?id=27582523.[73] 束搏, 毛天露, 徐文彬, 王兆其. 一种基于采样点的大规模群体实时三维可视化方法. 计算机研究与发展[J]. 2008, 45(10): 1731-1738, http://lib.cqvip.com/Qikan/Article/Detail?id=28409773.[74] 徐文彬, 毛天露, 束搏, 王兆其. 基于点采样的大规模三维模型显示. 计算机仿真[J]. 2007, 24(5): 193-197,310, http://lib.cqvip.com/Qikan/Article/Detail?id=24572550.[75] Zhu Xiaolong, Xia Shihong, Yu Yong, Mao Tianlu, Duffy VG. A novel method for cloth-body collision detection. DIGITAL HUMAN MODELINGnull. 2007, 4561: 1056-1063, [76] 王洁, 王兆其, 李淳芃, 毛天露, 夏时洪. 一种用于群体模拟的分层次避障法. 计算机研究与发展[J]. 2007, 44(12): 2058-2065, http://lib.cqvip.com/Qikan/Article/Detail?id=26211606.[77] 王兆其, 徐文彬, 毛天露. 基于环约束的虚拟人动态LOD技术. 计算机辅助设计与图形学学报[J]. 2006, 18(12): 1918-1923, [78] 毛天露, 王兆其, 夏时洪. 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[J]. 2006, 43(2): 356-361, http://lib.cqvip.com/Qikan/Article/Detail?id=21242007.[79] 李艳, 王兆其, 毛天露. 基于广义交叉截面的实时虚拟人皮肤变形方法. 计算机科学[J]. 2005, 32(1): 190-193, http://lib.cqvip.com/Qikan/Article/Detail?id=12050411.[80] 毛天露, 王兆其. 个性化三维人体模型快速建模方法. 计算机辅助设计与图形学学报[J]. 2005, 17(10): 2191-2195, http://lib.cqvip.com/Qikan/Article/Detail?id=20275367.[81] 李艳, 王兆其, 毛天露. 三维虚拟人皮肤变形技术分类及方法研究. 计算机研究与发展[J]. 2005, 42(5): 888-896, http://lib.cqvip.com/Qikan/Article/Detail?id=15642873.[82] 束搏, 毛天露, 王兆其. 基于D3D的三维虚拟人运动显示. 计算机辅助设计与图形学学报[J]. 2004, 16(11): 1505-1510, http://lib.cqvip.com/Qikan/Article/Detail?id=10867531.