基本信息

肖俊  教授  博士生导师

电子邮件: xiaojun@ucas.ac.cn

通信地址: 北京市玉泉路甲19号
邮政编码: 100049

研究领域

计算机视觉,AI+

招生信息

招收人工智能(智能科学与技术)、计算机科学与技术、软件工程等相关专业的考生

招生专业
081203-计算机应用技术
081104-模式识别与智能系统
招生方向
计算机视觉
图形图像处理
AI+交叉学科

工作经历

   
工作简历
2016-11~现在, 中国科学院大学, 教授
2010-05~2016-11,中国科学院大学, 副教授
2010-03~2010-05,中国科学院研究生院, 讲师
2008-04~2010-03,中国科学院研究生院, 师资博士后

出版信息

代表性论文:

(1)     Efficient Single Correspondence Voting for Point Cloud Registration [J]. IEEE Transactions on Image Processing, 2024

(2)     Multi-view Human Pose and Shape Estimation via Mesh-aligned Voxel Interpolation [J], Information Fusion, 2024

(3)     FC-4DFS: Frequency-controlled Flexible 4D Facial Expression Synthesizing [C]. ACM MM 2024

(4)     World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering. EMNLP 2024

(5)     T2DyVec: Leveraging Sparse Images and Controllable Text for Dynamic SVG. SIGGRAPH Poster 2024

(6)     SPDET: Edge-Aware Self-Supervised Panoramic Depth Estimation Transformer With Spherical Geometry [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

(7)     PartCom: Part Composition Learning for 3D Open-Set Recognition [J]. International Journal of Computer Vision, 2023

(8)     NR-MVSNet: Learning Multi-view Stereo based on Normal Consistency and Depth Refinement [J]. IEEE Transactions on Image Processing, 2023

(9)     Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery [C]. NeurIPS, 2023

(10)  VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation[C], CVPR 2023 (HIGHLIGHT paper)

(11)  SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow [C]. ICCV 2023

(12)  Progressive Graph Matching Network for Correspondences[C]. Pacific Graphics, 2023

(13)  Landmark Guided 4D Facial Expression Generation[C]. SIGGRAPH Asia Poster, 2023

(14)  DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis[C], ACM Multimedia, 2022

(15)  ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation[C], AAAI, 2022

(16)  Context-Aware 3D Point Cloud Semantic Segmentation With Plane Guidance[J], IEEE Transactions on Multimedia, 2022

(17)  MEMformer: Transformer-based 3D Human Motion Estimation from MoCap Markers[C], SIGGRAPH Asia, 2022

(18)  Registration Method for Point Clouds of Complex Rock-mass Based on Dual Structure Information[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022

(19)  Joint Specular Highlight Detection and Removal in Single Images via Unet-Transformer[J], Computational Visual Media, 2022

(20)  Single-Image Specular Highlight Removal via Real-World Dataset Construction[J]. IEEE Transactions on Multimedia, 2021

(21)  A Novel Rock-Mass Point Cloud Registration Method Based on Feature Line Extraction and Feature Point Matching [J]. IEEE Transactions on Geoscience and Remote Sensing, 2021

(22)  Efficient Pairwise 3D Registration of Urban Scenes Via Hybrid Structural Descriptors [J]. IEEE Transactions on Geoscience and Remote Sensing, 2021

(23)  Data-driven Floor Plan Understanding in Rural Residential Buildings via Deep Recognition [J], Information Sciences, 2021

(24)  Unsupervised Learning of Disentangled 3D Representation from a Single Image [C], Eurographics, 2021

(25)  End-to-end 3D Point Cloud Instance Segmentation without Detection[C]. CVPR 2020

(26)  Blending Surface Segmentation and Editing for 3D Models [J], IEEE Transactions on Visualization and Computer Graphics, 2020

(27)  Deep Specular Highlight Removal for Single Real-world Image [C], SIGGRAPH Asia Poster, 2020

(28)  Extracting Cycle-Aware Feature Curve Networks from 3D Models [J], Computer-Aided Design, 2020

(29)  Accurate Rock-mass Extraction from Terrestrial Laser Point Clouds via Multi-scale and Multi-view Convolutional Feature Representation [J]. IEEE Transactions on Geoscience and Remote Sensing, 2020

(30)  Efficient Rock-Mass Point Cloud Registration Using n-Point Complete Graphs [J]. IEEE Transactions on Geoscience and Remote Sensing, 2020

(31)  CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation [C]AAAI, 2020

科研活动

主要科研项目

(1)面向室内场景的全向视觉重建与可视渲染关键技术研究

(2)基于多目图像的室内场景重建与编辑关键技术研究

(3)元宇宙中三维场景感知与理解关键技术

(4)道路交通场景的环境目标三维状态感知与验证

(5)基于多模态数据的银屑病和特应性皮炎智能辨别方法研究

(6)基于序列化高清图像的大规模场景实时三维重建与智能解析方法

(7)深度学习驱动的弱监督三维场景理解及实例重建

(8)面向BIM的参数化模型重建与分析

(9)三维数字化机房重建算法研究

(10)山地致灾风险评估平台的软件研发

(11)面向月球场景的高精度三维重建与语义分割技术研究

(12 三维非连续性工程计算软件研发及示范应用

(13 面向大规模岩体点云的自适应滤波方法研究

(14 任意临空面条件下的关键块体识别理论研究

(15 面向工程计算的岩体三维重建理论与方法研究

(16 面向岩体结构面提取的大规模点云分析方法研究