胡事民

清华大学计算机系教授
胡事民，清华大学计算机科学与技术系教授，国家自然科学基金委创新群体项目学术带头人，中国计算机学会副理事长，Computational Visual Media（Springer）主编，亚洲图形学学会主席。
2021年8月1日，入选2021年中国科学院院士增选初步候选人名单（信息技术科学部）。
人物经历
浙江省长兴县人。1986年考入吉林大学数学系；1990年免试进入浙江大学数学系攻读硕士学位，师从金以文教授；1993年在浙大数学系攻读博士学位，师从金通洸教授；1996年进入清华大学计算机系计算机科学与技术博士后流动站，师从孙家广院士从事计算机辅助设计的研究，1998年出站后留在清华大学计算机系任教。
现为清华大学计算机系教授。研究方向主要为计算机图形学与交互技术、智能信息处理与系统软件。2002年获国家杰出青年基金资助，2006-2015年担任国家“973”计划项目首席科学家，2010年入选新世纪百千万人才工程国家级人选，2013年入选首批“万人计划”科技创新领军人才，2015年起担任国家自然科学基金委创新群体项目学术带头人；是中国计算机学会副理事长、Computational Visual Media（Springer）主编、亚洲图形学学会主席
学术成就
胡事民教授给学生作报告
主要从事计算机图形学、智能信息处理和系统软件等方面的研究。在几何处理方面，提出基于积分不变量和特征敏感度量的几何处理框架、带噪音抑制的高质量三维场景重建以及基于机器学习的高效高质量模型重建方法；在可视媒体的编辑与交互合成方面，提出基于全局对比度的显著性检测、结合草图输入和网络搜索的图像合成方法（Sketch2Photo）以及文本驱动的视频合成（Write-A-Video）等；在真实感绘制和动画仿真方面，提出基于内在特征的流体调制方法、基于SPH的多流体与流固耦合方法，以及全局环境光照的球面分段常量基函数等。相关成果发表在ACM SIGGRAPH、CVPR及ACM Transactions on Graphics、IEEE Transactions on Visualization and Computer Graphics和IEEE Transactions on Pattern Analysis and Machine Intelligence等重要的国际刊物和会议上。
研制并开源了第一个我国高校自主的深度学习框架——计图（Jittor）。计图是一个完全动态编译（Just-in-time），基于元算子融合和统一计算图的深度学习框架。计图支持30多种的骨干网络，并且开源了多个模型库：对抗生成网络、图像语义分割、检测与实例分割、点云分类、可微渲染等。
2019年10月19日，胡事民教授获得2019年CCF王选奖。
代表性论文
[1] Zheng-Ning Liu, Yan-Pei Cao, Zheng-FeiKuang, Leif Kobbelt, Shi-Min Hu, High-quality Textured 3D Shape Reconstructionwith Cascaded Fully Convolutional Networks, IEEE Transactions on Visualizationand Computer Graphics, 2021, Vol. 27, No. 1, 83-97.
[2] Sheng Yang, Beichen Li, Yan-Pei Cao,Hongbo Fu, Yu-Kun Lai, Leif Kobbelt, Shi-Min Hu, Noise-Resilient Reconstructionof Panoramas and 3D Scenes Using Robot-Mounted Unsynchronized Commodity RGB-DCameras, ACM Transactions on Graphics, 2020, Vol. 39, No.5, Article No. 152.
[3] Miao Wang, Guo-Wei Yang, Shi-Min Hu,Shing-Tung Yau, Ariel Shamir, Write-A-Video: Computational Video Montage fromThemed Text, ACM Transactions on Graphics, 2019, Vol. 38, No.6, Article No.177.
[4] Yan-Pei Cao, Leif Kobbelt, Shi-Min Hu, Real-timeHigh-accuracy 3D Reconstruction with Consumer RGB-D Cameras, ACM Transactionson Graphics, 2018, Vol. 37, No.5, Article No. 171.
[5] Tao Yang, Jian Chang, Ming C. Lin, Ralph R. Martin, Jian J.Zhang, Shi-Min Hu,A Unified Particle System Framework for Multi-Phase,Multi-Material Visual Simulations, ACM Transactions on Graphics, Vol. 36, No.6, Article No.224, SIGGRAPH ASIA 2017.
[6] Tao Chen, Zhe Zhu, Shi-MinHu, Daniel Cohen-Or, and Ariel Shamir, Extracting 3D Objects from PhotographsUsing 3-Sweep, Communication of ACM, 2016, Vol. 59, No. 12, 121-129. (invitedhighlight paper based on an earlier paper in ACM TOG)
[7] Fang-Lue Zhang, Xian Wu, Hao-Tian Zhang, Jue Wang, Shi-MinHu, Robust Background Identification for Dynamic Video Editing, ACMTransactions on Graphics, Vol. 35, No. 6. Article No. 197. SIGGRAPH ASIA 2016.
[8] Xiao Yan, Yun-Tao Jiang, Chen-Feng Li, Ralph R. Martin, andShi-Min Hu, Multiphase SPH Simulation for Interactive Fluids and Solids, ACMTransactions on Graphics, Vol. 35, No. 4. ACM SIGGRAPH 2016
[9] Zhe Zhu, Dun Liang, Song-Hai Zhang, Xiaolei Huang, Baoli Liand Shi-Min Hu, Traffic-Sign Detection and Classification in the Wild, IEEECVPR, 2016. 2110-2118.
[10] Tao Yang, Jian Chang, Bo Ren, Ming C. Lin, Jian Jun Zhang,and Shi-Min Hu, Fast Multiple-fluid Simulation Using Helmholtz Free Energy, ACMTransactions on Graphics, Vol. 34, SIGGRAPH ASIA 2015.
[11] Ming-Ming Cheng, Niloy J.Mitra, Xiaolei Huang, Philip H. S. Torr, and Shi-Min Hu, Global Contrast basedSalient Region Detection, IEEE Transactions on Pattern Analysis and MachineIntelligence, 2015, Vol. 37, No. 3, 569 - 582.
[12] Kang Chen, Yu-Kun Lai, Yu-Xin Wu, Ralph Martin, Shi-Min Hu,Automatic Semantic Modeling of Indoor Scenes from Low-quality RGB-D Data usingContextual Information, ACM Transactions on Graphics, 2014, Vol. 33, No. 6,Article 208(ACM SIGGRAPH ASIA 2014).
[13] Bo Ren, Chen-Feng Li, Xiao Yan, Ming C. Lin, Javier Bonet,and Shi-Min Hu, Multiple-fluid SPH Simulation Using a Mixture Model, ACMTransactions on Graphics, 2014, Vol. 33, No. 5, article 171.
[14] Shi-Min Hu, Kun Xu, Li-Qian Ma, Bin Liu, Bi-Ye Jiang andJue Wang, Recovering a Semantic Editing History from a Before-and-After ImagePair, ACM Transactions on Graphics, Vol. 32, No.6, Article No. 194, 2013(SIGGRAPH ASIA 2013).
[15] Shi-Min Hu, Fang-Lue Zhang, Miao Wang, Ralph R. Martin, JueWang, PatchNet: A Patch-based Image Representation for InteractiveLibrary-driven Image Editing, ACM Transactions on Graphics, Vol. 32, No.6,Article No. 196, 2013, SIGGRAPH ASIA.
[16] Song-Pei Du, Belen Masia, Shi-Min Hu and Diego Gutierrez, AMetric of Visual Comfort for Stereoscopic Motion, ACM Transactions on Graphics,Vol. 32, No.6, Article No. 222, 2013 (SIGGRAPH ASIA 2013).
[17] Kun Xu, Kang Chen, Hongbo Fu, Wei-Lun Sun, Shi-Min Hu,Sketch2Scene: Sketch-based Co-retrieval and Co-placement of 3D Models, ACMTransactions on Graphics,Vol. 32, No. 4, Article No. 123, SIGGRAPH 2013.
[18] Xian-Ying Li, Tao Ju and Shi-Min Hu , Cubic Mean ValueCoordinates, ACM Transactions on Graphics, Vol. 32, No. 4, Article No. 126,SIGGRAPH 2013.
[19] Tao Chen, Ming-Ming Cheng,Ping Tan, Ariel Shamir, Shi-Min Hu, Sketch2Photo: Internet Image Montage, ACMTransactions on Graphics, Vol. 28, No. 5, Article No. 124, ACM SIGGRAPH ASIA2009.
[20] Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin,Automatic and Topology-Preserving Gradient Mesh Generation for ImageVectorization, ACM Transactions on Graphics, Vol. 28, No. 3, article 85, ACMSIGGRAPH 2009.