Qingan Yan ['tsiŋ-æn jæn]

Tech Lead Manager
Goertek Alpha Labs

Email: yanqinganssg at gmail dot com
Office: 5451 Great America Pkwy #301, Santa Clara, CA 95054
Links: GitHub | LinkedIn | Google Scholar

About Me

I am currently a Tech Lead Manager at Goertek Alpha Labs in Santa Clara, CA, where I direct the research and design of cutting-edge visual perception AI algorithms. Prior to this, I served as a Staff Research Scientist and Tech Lead in the AI-Wearable Devices Department at InnoPeak Technology (a.k.a., OPPO US Research Center) in Palo Alto, CA, where I led a team focused on developing 3D environment perception and large language model (LLM)-powered user-device interaction algorithms. From 2017 to 2021, I worked as a Senior Research Scientist at JD.com American Technologies in Mountain View, CA, specializing in 3D vision algorithm development. I received my Ph.D. in Computer Science from Wuhan University in 2017.

My interests primarily lie in the field of 3D Computer Vision and Embodied AI. In particular, I tackle the challenges in 3D reconstruction, content generation, scene understanding, semantic segmentation, SLAM, depth estimation and multimodal foundation models.

Recent News

  • [Feb 26, 2025]: A paper is accepted to CVPR 2025.

  • [Jan 27, 2025]: A paper is accepted to ICRA 2025.

  • [Dec 09, 2024]: Start a new journey at Goertek.

  • [Feb 26, 2024]: A paper is accepted to CVPR 2024.

  • [Dec 15, 2023]: (Done) We are hiring 2024 summer interns to work on 3D computer vision & AIGC related research topics! Feel free to drop me an email if you're interested.

  • [Feb 27, 2023]: A paper is accepted to CVPR 2023.

  • [Jan 15, 2023]: (Done) We are hiring 2023 summer interns to work on 3D related research projects! Feel free to drop me an email if you're interested.

  • [Jul 03, 2022]: A paper is accepted to ECCV 2022.

  • [Mar 01, 2022]: A paper is accepted to CVPR 2022.

  • [Feb 01, 2021]: Start a new journey at OPPO US Research Center (InnoPeak Technology).

  • [Jul 02, 2020]: One paper is accepted to ECCV 2020.

  • [Feb 24, 2020]: One paper is accepted to CVPR 2020 and the implementation is available. Due to the agreement with other company, some parts can only be released in the form of .so files.

  • [Jul 25, 2019]: Two papers are accepted to PG 2019 and will be published in CGF.

  • [Apr 01, 2018]: Our paper is accepted to CVPR 2018 and the implementation is available. Due to the agreement with other company, some parts can only be released in the form of .so files.

  • [Nov 01, 2017]: I joined JD.com Silicon Valley Research Center as a senior research scientist.

  • [Apr 15, 2017]: One paper is accepted to CVPR 2017.

  • [Jul 20, 2016]: One paper is accepted to PG 2016 and will be published in CGF.

  • [Aug 01, 2014]: One paper is accepted to PG 2014 and will be published in CGF.

Selected Publications (Full List)

  • ActiveGAMER: Active GAussian Mapping through Efficient Rendering

    Liyan Chen*, Huangying Zhan*, Kevin Chen, Xiangyu Xu, Qingan Yan, Changjiang Cai, Yi Xu

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

    [Paper (arXiv)]

  • PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields

    Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Yi Xu, Lantao Liu

    IEEE International Conference on Robotics & Automation (ICRA), 2025.

    [Paper (arXiv)]

  • NARUTO: Neural Active Reconstruction from Uncertain Target Observations

    Ziyue Feng*, Huangying Zhan*, Zheng Chen, Qingan Yan, Xiangyu Xu, Changjiang Cai, Bing Li, Qilun Zhu, Yi Xu

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

    [Paper (arXiv)]  [Project Page]  [Code]

  • RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

    Changjiang Cai, Pan Ji, Qingan Yan, Yi Xu

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

    [Paper]  [Project Page] [Code]

  • GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping

    Pan Ji*, Qingan Yan*, Yuxin Ma, Yi Xu

    European Conference on Computer Vision (ECCV), 2022.

    [Paper]  [Supplemental Material]

  • Point Cloud Completion via Skeleton-Detail Transformer

    Wenxiao Zhang, Huajian Zhou, Zhen Dong, Jun Liu, Qingan Yan, Chunxia Xiao

    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022.

    [Paper]  [Code]

  • PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

    Jiachen Liu, Pan Ji, Nitin Bansal, Changjiang Cai, Qingan Yan, Xiaolei Huang, Yi Xu

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

    [Paper]  [Code]

  • Rank-PointRetrieval: Reranking Point Cloud Retrieval via a Visually Consistent Registration Evaluation

    Wenxiao Zhang, Huajian Zhou, Zhen Dong, Qingan Yan, Chunxia Xiao

    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022.

    [Paper]  [Code]

  • Seamless Texture Optimization for RGB-D Reconstruction

    Yanping Fu, Qingan Yan, Jie Liao, Huajian Zhou, Jin Tang, Chunxia Xiao

    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021.

    [Paper]  [Code]

  • Detail Preserved Point Cloud Completion via Separated Feature Aggregation

    Wenxiao Zhang, Qingan Yan, Chunxia Xiao

    European Conference on Computer Vision (ECCV), 2020.

    [Paper]  [Code] 

  • Joint Texture and Geometry Optimization for RGB-D Reconstruction

    Yanping Fu, Qingan Yan, Jie Liao, Chunxia Xiao

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

    [Paper]  [Supplemental Material]  [Implementation]

  • Texture Mapping for 3D Reconstruction with RGB-D Sensor

    Yanping Fu, Qingan Yan, Long Yang, Jie Liao, Chunxia Xiao

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

    [Paper]  [Implementation]

  • Surface Reconstruction via Fusing Sparse-Sequence of Depth Images

    Long Yang, Qingan Yan, Yanping Fu, Chunxia Xiao

    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2018.

    [Paper]

  • Illumination Decomposition for Photograph with Multiple Light Sources

    Ling Zhang, Qingan Yan, Zheng Liu, Hua Zou, Chunxia Xiao

    IEEE Transactions on Image Processing (TIP), 2017.

    [Paper]  [Code]

  • Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context

    Qingan Yan, Long Yang, Ling Zhang, Chunxia Xiao

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Spotlight Oral)

    [Paper]  [Code]

  • Shape-Controllable Geometry Completion for Point Cloud Models

    Long Yang, Qingan Yan, Chunxia Xiao

    The Visual Computer (TVC), 2017.

    [Paper]

  • Geometrically Based Linear Iterative Clustering for Quantitative Feature Correspondence

    Qingan Yan, Long Yang, Chao Liang, Huajun Liu, Ruimin Hu, Chunxia Xiao

    Computer Graphics Forum (CGF), 2016. (Proceedings of Pacific Graphics 2016)

    [Paper]

Professional Activities

Journal Reviewer: TPAMI, TIP, TVCG, TMM, TCSVT, TCYB, Neurocomputing, PR, TVC

Conference Reviewer: CVPR, ICCV, ECCV, WACV, ACCV, 3DV, CRV, ICLR, AAAI, EG

Presentations CVPR 2017, Pacific Graphics 2014&2016

My Resources

Blogs

  • Research Recorder
    A research-related memory palace for myself (constructing... subject to... time and mood...).

Tools

  • Texture Mapping (C++)
    Our trial implementation of the paper, "Patch-Based Optimization for Image-Based Texture Mapping" SIGGRAPH 2017.

  • SfM Viewer (QT & C++)
    The code can be used to display 3D point clouds from .out and .ply files, which are the outputs of bundler_sfm.

  • Binocular Measurer (Visual Studio & OpenCV)
    A distance measuring software based on classical binocular stereo algorithm and OpenCV.