Hi! Iβm Linning, a PhD student at CUHK, Multimedia Lab (MMLab).
Before joining MMLab, I had a great pleasure working with great minds at CUHK(SZ) on Statistics,
Machine Learning, and Operation Research.
My current research topics include AI for Film (π¬) and City (π), with a recent
focus on Neural Rendering and innovative Scene Representation for large-scale scenes and daily living spaces.
βοΈ Check our cool LandMark project and city-super series :)
π° News
a box of sweet chocolates (click to expand :)
- 2024-02: One paper got accepted to CVPR2024π±
- 2023-10: We are organizing the Third Workshop of CVEU @ICCV 2023π«π·
- 2023-08: One paper got accepted to SIGGRAPH ASIA 2023πΆ
- 2023-07: Two papers got accepted to ICCV2023π
- 2023-02 π 2023-06: Internship at Meta Reality Labs, Pittsburghπ
- 2023-02: Two papers got accepted to CVPR2023π½
- 2022-07: One paper got accepted to ECCV2022π
- 2022-03: One paper got accepted to SIGGRAPH'2022π§π»βπ¨
- 2022-01: One paper got accepted to TMM2022πΉ
- 2021-07: One paper got accepted to ICCV2021π₯₯
- 2021-06: One paper got accepted to TMM2021π
- 2020-07: Three papers got accepted to ECCV2020π
- 2020-07: One paper got accepted to MLSP2020π°
- 2020-02: One paper got accepted to CVPR2020π¦
- 2019-07: Got admitted to the PhD program at CUHK MMLab (β§ββ¦)οΎ!!!
π Publications
(π) Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
Kerui Ren*, Lihan Jiang*, Tao Lu, Mulin Yu, Linning Xu, Zhangkai Ni, Bo Daiarxiv preprint
(π) GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
Mulin Yu*, Tao Lu*, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Daiarxiv preprint
(π) Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Tao Lu*, Mulin Yu*, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo DaiCVPR 2024
(π‘) VR-NeRF: High-Fidelity Virtualized Walkable Spaces
Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota BulΓ², Lorenzo Porzi, Peter Kontschieder, AljaΕΎ BoΕΎiΔ Dahua Lin, Michael Zollhoefer, Christian RichardtSIGGRAPH ASIA 2023
(π) MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
Yixuan Li*, Lihan Jiang*, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo DaiICCV 2023
(π) AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation
Yuanbo Xiangli*, Linning Xu*, Xingang Pan, Nanxuan Zhao, Bo Dai, and Dahua LinICCV 2023
(π) Grid-guided Neural Radiance Fields for Large Urban Scenes
Linning Xu*, Yuanbo Xiangli*, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, and Dahua LinCVPR 2023
(π) OmniCity: Omnipotent city understanding with multi-level and multi-view images
Weijia Li, Yawen Lai, Linning Xu, Yuanbo Xiangli, Jinhua Yu, Conghui He, Guisong Xia, and Dahua LinCVPR 2023
(π¬) Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production
Anyi Rao, Xuekun Jiang, Yuwei Guo, Linning Xu, Lei Yang, Libiao Jin, Dahua Lin, and Bo DaiSIGGRAPH 2023 Poster
(π) BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
CityNeRF: Building NeRF at City Scale (Previous version)
Yuanbo Xiangli*, Linning Xu*, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua LinECCV 2022
(π¬) Shoot360: Normal View Video Creation from City Panorama Footage
Anyi Rao, Linning Xu, and Dahua LinSIGGRAPH 2022
(π¬) A Coarse-to-Fine Framework for Automatic Video Unscreen
Anyi Rao, Linning Xu, Zhizhong Li, Qingqiu Huang, Zhanghui Kuang Wayne Zhang, and Dahua LinTMM 2022
(π) BlockPlanner: City Block Generation with Vectorized Graph Representation
Linning Xu*, Yuanbo Xiangli*, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, and Dahua LinICCV 2021
(π¬) Jointly Learning the Attributes and Composition of Shots for Boundary Detection in Videos
Xuekun Jiang, Libiao Jing, Anyi Rao, Linning Xu, Dahua LinTMM 2021
(π¬) A Unified Framework for Shot Type Classification Based on Subject Centric Lens
Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, and Dahua LinECCV 2020
(π¬) Online Multi-modal Person Search in Videos
Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Wenjiang Tao, and Dahua LinECCV 2020
(π§βπ€βπ§) Learn to Propagate Reliably on Noisy Affinity Graphs
Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, and Dahua LinECCV 2020
(π¬) A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
Anyi Rao, Linning Xu, Qingqiu Huang, Bolei Zhou, and Dahua LinCVPR 2020
Workshop
- AI for Creative Video Editing and Understanding @CVPR2024, ICCV2023, ECCV2022, ICCV2021
Education
- Ph.D. in Information Engineering at The Chinese University of Hong Kong, 2020-2024(expected)
- B.S. in Statistics at The Chinese University of
Hong Kong, Shenzhen, 2016-2020
- GPA: 3.96/4.00, Rank: 1/152
Visiting Experience
- Visiting Program at The Chinese University of Hong Kong, 2019
- Summer Research at Stanford University, 2018
- Summer School at University College London, 2017
Honors and Awards
- Hong Kong PhD Fellowship Scheme (HKPFS)
- China National Scholarships (0.2%), CHINA
- Academic Performace Scholarship, Class A, CUHK(SZ)
- Dean's List Award, CUHK(SZ)
- Undergraduate Research Award, CUHK(SZ)
Teaching
- General Physics (PHY1001)
- Electronic Circuit Design (IERG1810)
- Communication Labs (IERG3820)
Coursework
Click to expand
- Major Courses
- Image Processing and Computer Vision
- Computer Graphics
- Distributed and Parallel Computing
- Computer Networks
- Deep Learning
- Reinforcement Learning
- Probablistic Graphic Models
- Information Theory
- Probability Theory
- Stochastic Processes
- Optimization Theory and Algorithms
- Data and Decision Analytics
- Data Mining
- Time Series
- Matrix Analysis and Computations
- Statistics and Probability
- Nonparametric Statistics
- Statistical Modelling in Financial Markets
- General Courses
- Architecture
- Anatomy and Developmental Biology
- Literary London
- Superhero Movies and Comics
- Cantonese
- In Dialogue with Humanity / Nature
- Modern Chinese History and Culture