个人简介
张举勇，中国科学技术大学数学科学学院副教授，博士生导师。2006年于中科大计算机系获得学士学位，2011年于新加坡南洋理工大学计算机工程学院获得博士学位，2011年至2012年于瑞士联邦理工学院洛桑分校从事博士后研究，2012年至今工作于中国科学技术大学数学科学学院。研究兴趣包括计算机图形学、计算机视觉、数值最优化算法。现主持和曾主持多项国家自然科学基金项目与国家重点研发计划课题，授权和申请发明专利约10项，相关科研成果应用在华为多款硬件终端。
主要讲授课程：
《算法基础》、《最优化算法》、《数字图像处理》
近期论文
查看导师新发文章
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[01] Jiong Tao, Juyong Zhang*, Bailin Deng, Zheng Fang, Yue Peng. Parallel and Scalable Heat Methods for Geodesic Distance Computation. IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2019.
[02] Luo Jiang, Juyong Zhang*, Bailin Deng. Robust RGB-D Face Recognition Using Attribute-Aware Loss. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
[03] Yudong Guo, Juyong Zhang*, Jianfei Cai, Boyi Jiang, Jianmin Zheng. CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.41, No.6, pages 1294-1307, 2019.
[04] Di Xu, Qi Duan, Jianmin Zheng, Juyong Zhang, Jianfei Cai, Tat-Jen Cham. Shading-based Surface Detail Recovery under General Unknown Illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.40, No.2, 2018.
[05] Juyong Zhang*, Yue Peng, Wenqing Ouyang, Bailin Deng. Accelerating ADMM for Efficient Simulation and Optimization. ACM Trans on Graphics (TOG, Siggraph Asia), 2019.
[06] Yue Peng, Bailin Deng, Juyong Zhang*, Fanyu Geng, Wenjie Qin, Ligang Liu. Anderson Acceleration for Geometry Optimization and Physics Simulation. ACM Trans on Graphics (TOG, Siggraph), Vol.37, No.4, 2018.
[07] Yijiang Huang, Juyong Zhang*, Xin Hu, Guoxian Song, Zhongyuan Liu, Lei Yu, Ligang Liu. FrameFab: Robotic Fabrication of Frame Shapes. ACM Trans on Graphics (TOG, Siggraph Asia), Vol.35, No.6, 2016.
[08] Juyong Zhang, Bailin Deng, Zishun Liu, Giuseppe Patanè, Sofien Bouaziz, Kai Hormann, Ligang Liu. Local Barycentric Coordinates. ACM Trans on Graphics (TOG, Siggraph Asia), Vol.33, No.6, 2014.
[09] Shiyao Xiong, Juyong Zhang*, Jianmin Zheng, Jianfei Cai, Ligang Liu. Robust Surface Reconstruction via Dictionary Learning. ACM Trans on Graphics (TOG, Siggraph Asia), Vol.33, No.6, 2014.
[10] Juyong Zhang, Jianmin Zheng, Chunlin Wu, Jianfei Cai. Variational Mesh Decomposition. ACM Trans on Graphics (TOG), Vol.31, No.3, 2012.
[11] Luo Jiang, Juyong Zhang*, Bailin Deng, Hao Li, Ligang Liu. 3D Face Reconstruction with Geometry Details from a Single Image. IEEE Transactions on Image Processing (TIP), Vol.27, No.10, 2018.
[12] Juyong Zhang, Bailin Deng, Yang Hong, Yue Peng, Wenjie Qin, Ligang Liu. Static/Dynamic Filtering for Mesh Geometry. Accepted to IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol.25, No.4, pages 1774-1787, 2019.
[13] Juyong Zhang, Jianmin Zheng, Jianfei Cai. Interactive Mesh Cutting Using Constrained Random Walks. IEEE Trans On Visualization and Computer Graphics (TVCG), Vol.17, No.3, Page.357-367, 2011.
[14] Changwei Luo, Juyong Zhang, Jun Yu, Chang Wen Chen, Shengjin Wang. Real-time Head Pose Estimation and Face Modeling From a Depth Image. IEEE Transactions on Multimedia (TMM), 2019.
[15] Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang*. Disentangled Representation Learning for 3D Face Shape. CVPR, 2019.
[16] Qianyi Wu, Juyong Zhang*, Yu-Kun Lai, Jianmin Zheng, Jianfei Cai. Alive Caricature from 2D to 3D. CVPR (Spotlight Presentation), 2018.
[17] Haofei Xu, Jianmin Zheng, Jianfei Cai, Juyong Zhang*. Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos. IJCAI, 2019.
[18] Bailin Deng, Sofien Bouaziz, Mario Deuss, Juyong Zhang, Yuliy Schwartzburg, Mark Pauly. Exploring Local Modifications for Constrained Meshes. Computer Graphics Forum (Eurographics, 最佳论文提名), Vol.32, No.2, Page.11-20, 2013.
[19] Guoxian Song, Jianfei Cai, Tat-Jen Cham, Jianmin Zheng, Juyong Zhang*, Henry Fuchs. Real-time 3D Face-Eye Performance Capture of a PersonWearing VR Headset. ACM Multimedia (Full paper), 2018.
[20] Jiong Tao, Bailin Deng, Juyong Zhang*. A Fast Numerical Solver for Local Barycentric Coordinates. Geometric Modeling and Processing(GMP 最佳论文), 2019.
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