申抒含

申抒含  /  

  • 职  称: 研究员
  • 邮  编: 100190
  • 电子邮件: shshen@nlpr.ia.ac.cn
  • 部门/实验室: 中国科学院工业视觉智能装备技术工程实验室
  • 通讯地址: 北京市海淀区中关村东路95号

个人简历

申抒含,中国科学院自动化研究所研究员、博士生导师,中国科学院大学人工智能学院岗位教授,中科院工业视觉智能装备技术工程实验室副主任。研究领域为三维计算机视觉理论与应用,包括大规模场景三维重建、智能机器人三维环境感知、场景三维语义理解等。在计算机视觉、摄影测量、机器人等领域国际期刊和国际会议,如IEEE Trans、IJCV、ISPRS JPRS、CVPR、ICCV、ICRA、IROS等发表论文80余篇。作为项目负责人主持国家自然科学基金联合重点项目、北京市自然科学基金联合重点项目、以及各类企业研发项目20余项。入选中科院青年创新促进会、中科院自动化所特聘青年骨干、中科院特聘研究岗位,曾获2016年ACM北京新星奖、2018年中国图像图形学会科学技术二等奖、2023年中国测绘学会科学技术一等奖、2023年中国自动化学会自然科学一等奖等。

研究方向

三维计算机视觉,大规模场景三维重建,场景三维语义理解

承担科研项目情况

2023-2026, “恶劣天候下大规模复杂三维场景理解理论与方法”, 国家自然科学基金-企业创新发展联合基金重点项目 2023-2026, “城市场景三维语义矢量化重建关键问题研究”, 国家自然科学基金面上项目 2023-2026, “高精度稠密地图构建及定位用地图轻量化存储方法”, 北京市自然科学基金-小米创新联合基金重点项目 2023-2026, “元宇宙三维数字孪生关键技术研究与示范应用”, 河南省重点研发专项项目 2022-2023, “基于倾斜摄影的点云语义分割和LOD2建筑物单体化系统”, 企业合作项目 2022-2023, “电力走廊三维数字化检测平台”, 企业合作项目 2021-2023, “面向地理信息和定位导航的三维视觉系统与装备”, 中国科学院人工智能创新研究院2035创新任务 2021-2022, “城市场景高精三维感知与高效语义理解”, 模式识别国家重点实验室自主课题 2020-2021, “高效矢量化地图构建与视觉定位”, 企业合作项目 2019-2023, “室内外大规模场景三维语义矢量重建技术”, 企业合作项目 2019-2020, “基于手机图像采集的室内视觉定位技术”, 企业合作项目 2019-2020, “基于视觉的大规模室内场景重建与定位”, CCF-滴滴盖亚青年学者科研基金项目 2019-2022, “中国古建三维数字化保护中的天地图像融合问题研究”, 国家自然科学基金面上项目 2017-2021, “基于语义分析的大规模场景视觉重建关键技术研究”, 国家自然科学基金重点项目子课题 2016-2017, “基于手机图像的桌面场景三维重建”, 企业合作项目 2015-2018, “基于深度图融合的大场景多视图立体重建研究”, 国家自然科学基金面上项目 2015-2018, “中科院青促会项目”, 中科院人才专项 2013-2015, “多源影像配准与融合”, 国家863项目 2013-2014, “城市街景稠密三维重建”, 国际合作项目 2012-2014, “基于单目图像的变形体三维重建研究”, 国家自然科学基金青年项目

代表论著

[1] Zexiao Xie, Xiaoxuan Yu, Xiang Gao, Kunqian Li, Shuhan Shen. Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey. IEEE Transactions on Neural Networks and Learning Systems, 35(3): 3395-3415, 2024. [2] Hainan Cui, Xiang Gao, Shuhan Shen. McSfM: Multi-camera Based Incremental Structure-from-Motion. IEEE Transactions on Image Processing, 32: 6441-6456, 2023. [3] Diantao Tu, Hainan Cui, Shuhan Shen. PanoVLM: Low-Cost and Accurate Panoramic Vision and LiDAR Fused Mapping. ISPRS Journal of Photogrammetry and Remote Sensing, 206: 149-167, 2023. [4] Xiang Gao, Hainan Cui, Wantao Huang, Menghan Li, Shuhan Shen. IRAv3+: Hierarchical Incremental Rotation Averaging via Multiple Connected Dominating Sets. IEEE Transactions on Circuits and Systems for Video Technology, 2023. [5] Yuandong Li, Qinglei Hu, Zhenchao Ouyang, Shuhan Shen. Neural Reflectance Decomposition Under Dynamic Point Light. IEEE Transactions on Circuits and Systems for Video Technology, 2023. [6] Xiang Gao, Dongdong Tao, Yuqian Liu, Zexiao Xie, Shuhan Shen. Vehicle-Borne Multi-Sensor Temporal-Spatial Pose Globalization via Cross-Domain Data Association. IEEE Transactions on Intelligent Transportation Systems, 24(12): 13962-13975, 2023. [7] Mengqi Rong, Hainan Cui, Shuhan Shen. Efficient 3D Scene Semantic Segmentation via Active Learning on Rendered 2D Images. IEEE Transactions on Image Processing, 32: 3521-3535, 2023. [8] Mengqi Rong, Shuhan Shen. 3D Semantic Segmentation of Aerial Photogrammetry Models Based on Orthographic Projection. IEEE Transactions on Circuits and Systems for Video Technology, 33(12): 7425-7437, 2023. [9] Xiang Gao, Hainan Cui, Menghan Li, Zexiao Xie, Shuhan Shen. IRAv3: Hierarchical Incremental Rotation Averaging on the Fly. IEEE Transactions on Circuits and Systems for Video Technology, 33(4): 2001-2006, 2023. [10] Jiali Han, Yuzhou Liu, Mengqi Rong, Xianwei Zheng, Shuhan Shen. FloorUSG: Indoor Floorplan Reconstruction by Unifying 2D Semantics and 3D Geometry. ISPRS Journal of Photogrammetry and Remote Sensing, 196: 490–501, 2023. [11] Xiang Gao, Lingjie Zhu, Hainan Cui, Zexiao Xie, Shuhan Shen. IRA++: Distributed Incremental Rotation Averaging. IEEE Transactions on Circuits and Systems for Video Technology, 32(7): 4885-4892, 2022. [12] Hainan Cui, Diantao Tu, Fulin Tang, Pengfei Xu, Hongmin Liu, Shuhan Shen. VidSfM: Robust and Accurate Structure-from-Motion for Monocular Videos. IEEE Transactions on Image Processing, 31: 2449-2462, 2022. [13] Xiang Gao, Lingjie Zhu, Bin Fan, Hongmin Liu, Shuhan Shen. Incremental Translation Averaging. IEEE Transactions on Circuits and Systems for Video Technology, 32(11): 7783-7795, 2022. [14] Mengqi Rong, Hainan Cui, Zhanyi Hu, Hanqing Jiang, Hongmin Liu, Shuhan Shen. Active Learning Based 3D Semantic Labeling From Images and Videos. IEEE Transactions on Circuits and Systems for Video Technology, 32(12): 8101-8115, 2022. [15] Jiali Han, Mengqi Rong, Hanqing Jiang, Hongmin Liu, Shuhan Shen. Vectorized Indoor Surface Reconstruction from 3D Point Cloud with Multistep 2D Optimization. ISPRS Journal of Photogrammetry and Remote Sensing, 177: 57-74, 2021. [16] Xiang Gao, Lingjie Zhu, Zexiao Xie, Hongmin Liu, Shuhan Shen. Incremental Rotation Averaging. International Journal of Computer Vision, 129: 1202–1216, 2021. [17] Jiali Han, Lingjie Zhu, Xiang Gao, Zhanyi Hu, Liyang Zhou, Hongmin Liu, Shuhan Shen. Urban Scene LOD Vectorized Modeling from Photogrammetry Meshes. IEEE Transactions on Image Processing, 30: 7458-7471, 2021. [18] Xiang Gao, Shuhan Shen, Lingjie Zhu, Tianxin Shi, Zhiheng Wang, Zhanyi Hu. Complete Scene Reconstruction by Merging Images and Laser Scans. IEEE Transactions on Circuits and Systems for Video Technology, 30(10): 3688-3701, 2020. [19] Hainan Cui, Shuhan Shen, Wei Gao, Hongmin Liu, Zhiheng Wang. Efficient and Robust Large-Scale Structure-from-Motion via Track Selection and Camera Prioritization. ISPRS Journal of Photogrammetry and Remote Sensing, 156: 202-214, 2019. [20] Xiang Gao, Shuhan Shen, Yang Zhou, Hainan Cui, Lingjie Zhu, Zhanyi Hu. Ancient Chinese Architecture 3D Preservation by Merging Ground and Aerial Point Clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 143: 72-84, 2018. [21] Miao Yu, Shuhan Shen, Zhanyi Hu. Dynamic Graph Cuts in Parallel. IEEE Transactions on Image Processing, 26(8): 3775-3788, 2017. [22] Miao Yu, Shuhan Shen, Zhanyi Hu. Dynamic Parallel and Distributed Graph Cuts. IEEE Transactions on Image Processing, 25(12): 5511-5525, 2016. [23] Hainan Cui, Shuhan Shen, Wei Gao, Zhanyi Hu. Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information. IEEE Transactions on Image Processing, 24(11): 3561-3573, 2015. [24] Shuhan Shen, Zhanyi Hu. How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling. IEEE Transactions on Image Processing, 23(1): 308-318, 2014. [25] Shuhan Shen. Accurate Multiple View 3D Reconstruction Using Patch-Based Stereo for Large-Scale Scenes. IEEE Transactions on Image Processing, 22(5): 1901-1914, 2013. [26] Shuhan Shen, Wenjuan Ma, Wenhuan Shi, Yuncai Liu. Convex Optimization for Nonrigid Stereo Reconstruction. IEEE Transactions on Image Processing, 19(3): 782-794, 2010. [27] Shuhan Shen, Wenhuan Shi, Yuncai Liu. Monocular 3-D Tracking of Inextensible Deformable Surfaces Under L2-Norm. IEEE Transactions on Image Processing, 19(2): 512-521, 2010.

获奖及荣誉

2023, 中国自动化学会自然科学一等奖 2023, 中国测绘学会科学技术一等奖 2021, CVPR2021三维矢量化BIM建模竞赛(Scan-to-BIM Challenge)冠军 2019, CVPR2019长时视觉定位竞赛(Long-Term Visual Localization Challenge)冠军 2018, 中国图像图形学会科学技术二等奖 2016, ACM北京新星奖 2015, 中国科学院青年创新促进会

社会任职

中国计算机学会, 杰出会员 中国图像图形学会, 高级会员 IEEE, Senior Member 中国计算机学会, 计算机视觉专委会, 执行委员 中国图像图形学会, 机器视觉专委会, 委员 中国图像图形学会, 三维视觉专委会, 常务委员 中国图学学会, 可视化与认知计算专委会, 委员 中国电影美术学会, 虚拟空间专委会, 委员 中国图像图形学会, 青年工作委员会, 委员