BURG: Benchmarks for UndeRstanding Grasping

Project Details

Short titleBURG: Benchmarks for UndeRstanding Grasping
StatusFinished
Effective start/end date1/11/1931/07/23

Funding

  • Engineering & Physical Science Research Council

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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation

    Zheng, L., Wang, C., Sun, Y., Dasgupta, E., Chen, H., Leonardis, A., Zhang, W. & Chang, H. J., 22 Aug 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 17163-17173 11 p. 10204635. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Trans6D: transformer-based 6D object pose estimation and refinement

    Zhang, Z., Chen, W., Zheng, L., Leonardis, A. & Chang, H. J., 12 Feb 2023, Computer Vision – ECCV 2022 Workshops. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). 1 ed. Cham: Springer, p. 112–128 17 p. (Lecture Notes in Computer Science; vol. 13808).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    367 Downloads (Pure)
  • Conditional patch-based domain randomization: improving texture domain randomization using natural image patches

    Ani, M., Basevi, H. & Leonardis, A., 26 Dec 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Kyoto, Japan: IEEE, p. 1979-1985 (Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    89 Downloads (Pure)