Qiaojun Feng
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Qiaojun Feng

Journal Articles

  1. Constructing effective personalized policies using counterfactual inference from biased data sets with many features
    O. Atan, W. R. Zame, Q. Feng and M. van der Schaar
    Machine Learning (MLJ), 2018. [pdf] [link]

Conference Proceedings

  1. ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description
    M. Shan, Q. Feng, Y. Jau and N. Atanasov
    IEEE/CVF International Conference on Computer Vision (ICCV), 2021. [arXiv] [link]

  2. CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
    T. Zhao, Q. Feng, S. Jadhav and N. Atanasov
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, 2021. [arXiv] [link] [project]

  3. Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning
    Q. Feng and N. Atanasov
    IEEE International Conference on Robotics and Automation (ICRA), Xi’an, 2021. [arXiv] [link] [project]

  4. Fully Convolutional Geometric Features for Category-level Object Alignment
    Q. Feng and N. Atanasov
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, 2020. [arXiv] [link] [project]

  5. OrcVIO: Object residual constrained Visual-Inertial Odometry
    M. Shan, Q. Feng and N. Atanasov
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, 2020. [arXiv] [link] [project]

  6. Localization and Mapping using Instance-specific Mesh Models
    Q. Feng, Y. Meng, M. Shan and N. Atanasov
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, 2019. [arXiv] [link] [project]

  7. Driving behavior differences between crash-involved and crash-not-involved drivers using urban traffic surveillance data
    C. Hongxin, P. Xin, Z. Zuo, Y. Danya, F. Qiaojun and W. Zizhuo
    IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), Beijing, 2016, pp. 249-254. [pdf] [link]

Workshop Papers

  1. Dense Spatial Segmentation from Sparse Semantic Information
    Q. Feng, Y. Meng and N. Atanasov
    Workshop on Learning and Inference in Robotics at RSS, 2018. [pdf] [link]