2024

• GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation
  Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann
  Preprint [paper] [project site]  

• MVDD: Multi-View Depth Diffusion Models
  Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Liu Shichen, Rohit Pandey, Sean Fanello, Achuta Kadambi, Yinda Zhang
  Preprint [paper] [project site]  

• Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing
  Yushi Lan, Feitong Tan, Di Qiu, Qiangeng Xu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas Funkhouser, Chen Change Loy, Yinda Zhang
  Preprint [paper] [project site]  

• MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space
  Armand Comas-Massagué, Di Qiu, Menglei Chai, Marcel Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark Matthews, Paulo Gotardo, Octavia Camps, Sergio Orts-Escolano, Thabo Beeler
  Preprint [paper] [project site]  

2023

• Strivec: Sparse Tri-Vector Radiance Fields
  Qiangeng Xu✴, Quankai Gao✴, Hao Su, Ulrich Neumann, Zexiang Xu International Conference on Computer Vision (ICCV 2023) [paper] [code]
  bibtex

  
  @inproceedings{xu2023strivec,
       title={Sparse Tri-Vector Radiance Fields},
       author={Xu, Qiangeng and Gao, Quankai and Su, Hao and Neumann, Ulrich and Xu, Zexiang},
       booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
       year={2023}
  }

   

2022

• Point-NeRF: Point-based Neural Radiance Fields
  Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann
  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022 Oral 🤩🤯🔥) [paper] [project site][code]
  bibtex

  
  @inproceedings{xu2022point,
       title={Point-NeRF: Point-based Neural Radiance Fields},
       author={Xu, Qiangeng and Xu, Zexiang and Philip, Julien and Bi, Sai and Shu, Zhixin and Sunkavalli, Kalyan and Neumann, Ulrich},
       booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
       pages={5438--5448},
       year={2022}
  }

   

• Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
  Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
  Proceedings of the AAAI Conference on Artificial Intelligence 36 (AAAI-2022) [paper] [code]
  bibtex

  
  @article{xu2021behind,
       title={Behind the Curtain: Learning Occluded Shapes for 3D Object Detection},
       author={Xu, Qiangeng and Zhong, Yiqi and Neumann, Ulrich},
       booktitle={arXiv int arXiv:2112.02205},
       year={2021}
  }

2021

• SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
  Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
  International Conference on Computer Vision (ICCV 2021) [paper(+supplemental)]
  bibtex

  
  @inproceedings{xu2021spg,
       title={Grid-gcn for fast and scalable point cloud learning},
       author={Xu, Qiangeng and Zhou, Yin and Wang, Weiyue and Qi, Charles R. and Anguelov, Dragomir},
       booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
       year={2021}
  }

   

• Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
  Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann
  International Conference on 3D Vision 2021 (3DV 2021) [paper]
  bibtex

  
  @article{wu2021synergy,
       title={Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry},
       author={Wu, Cho-Ying and Xu, Qiangeng and Neumann, Ulrich},
       journal={arXiv preprint arXiv:2110.09772},
       year={2021}
  }

2020

• Geometry-Aware Instance Segmentation with Disparity Maps
  Cho-Ying Wu, Xiaoyan Hu, Michael Happold, Qiangeng Xu, Ulrich Neumann
  IEEE Conference on Computer Vision and Pattern Recognition Workshop Scalability in Autonomous Driving (CVPRw 2020) [paper]
  bibtex

  
  inproceedings{wu2020Cvprw,
       title={Geometry-Aware Instance Segmentation with Disparity Maps},
       author={Wu, Cho-Ying and Hu, Xiaoyan and Happold, Michael and Xu, Qiangeng and Neumann, Ulrich},
       booktitle={CVPR Workshop on Scability in Autonomous Driving},
       year={2020}
  }

   

• Grid-GCN for Fast and Scalable Point Cloud Learning
  Qiangeng Xu, Xudong Sun, Cho-ying Wu, Panqu Wang, Ulrich Neumann
  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020) [paper] [supplementary] [code]
  bibtex

  
  @inproceedings{xu2020grid,
       title={Grid-gcn for fast and scalable point cloud learning},
       author={Xu, Qiangeng and Sun, Xudong and Wu, Cho-Ying and Wang, Panqu and Neumann, Ulrich},
       booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
       pages={5661--5670},
       year={2020}
  }

2019

• DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
  Qiangeng Xu✴, Weiyue Wang✴, Duygu Ceylan, Radomir Mech, Ulrich Neumann
  Conference on neural information processing systems (NeurIPS) 2019 [paper] [appendix] [code]
  bibtex

  
  @incollection{NIPS2019_8340,
        title = {DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction},
        author = {Xu, Qiangeng and Wang, Weiyue and Ceylan, Duygu and Mech, Radomir and Neumann, Ulrich},
        booktitle = {Advances in Neural Information Processing Systems 32},
        editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
        pages = {492--502},
        year = {2019},
        publisher = {Curran Associates, Inc.},
        url = {http://papers.nips.cc/paper/8340-disn-deep-implicit-surface-network-for-high-quality-single-view-3d-reconstruction.pdf}
  }

   

• Stochastic Dynamics for Video Infilling
  Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann.
  CVPRw 2019
  Winter Conference on Applications of Computer Vision (WACV) 2020
  [paper] [project site]
  bibtex

  
  @inProceedings{xu2020sdvi,
        title={Stochastic Dynamics for Video Infilling},
        author={Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann},
        booktitle={Winter Conference on Applications of Computer Vision},
        year={2020}
  }

   

• Generative Cooperative Net for Image Generation and Data Augmentation
  Qiangeng Xu, Zengchang Qin, Tao Wan.
  The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) 2019 [paper]
  bibtex

  
  @inproceedings{xu2019generative,
        title={Generative cooperative net for image generation and data augmentation},
        author={Xu, Qiangeng and Qin, Zengchang and Wan, Tao},
        booktitle={International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making},
        pages={284--294},
        year={2019},
        organization={Springer}
  }

2017

• Dynamic Eye Movement Matching and Visualization Tool in Neuro Gesture
  Qiangeng Xu, John Kender.
  arXiv preprint arXiv:1712.09709 [paper]
  bibtex

  
  @misc{xu2017report,
        title={Report: Dynamic Eye Movement Matching and Visualization Tool in Neuro Gesture},
        author={Qiangeng Xu and John Kender},
        year={2017},
        eprint={1712.09709},
        archivePrefix={arXiv},
        primaryClass={cs.NE}
  }

Talk and Tutorials:

• Inverse Rendering for 3D Scene Reconstruction [slides(284MB)] [pdf(18MB)]
  As a guest lecture of a graduate level course, CSCI 580 Computer Graphics at University of Southern California.