No photo of Y. Lin

Y. Lin

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Y. Lin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles
View full fingerprint

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Explore network further
  • 4 Conference contribution
  • 1 Dissertation (TU Delft)

  • Data-efficient learning of geometric structures from single-view images

    Lin, Y., 2022, 123 p.

    Research output: Thesis › Dissertation (TU Delft)

    Open Access
    File
    28 Downloads (Pure)

  • Deep Vanishing Point Detection: Geometric priors make dataset variations vanish

    Lin, Y., Wiersma, R., Pintea, S. L., Hildebrandt, K., Eisemann, E. & van Gemert, J. C., 2022, Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). O'Conner, L. (ed.). Piscataway: IEEE , p. 6093-6103 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    3 Citations (Scopus)
    2 Downloads (Pure)

  • Investigating transformers in the decomposition of polygonal shapes as point collections

    Alfieri, A., Lin, Y. & van Gemert, J. C., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021: Proceedings. O'Conner, L. (ed.). Piscataway: IEEE , p. 2076-2085 10 p. 9607442. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2021-October).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Semi-Supervised Lane Detection With Deep Hough Transform

    Lin, Y., Pintea, S-L. & van Gemert, J., 2021, 2021 IEEE International Conference on Image Processing (ICIP): Proceedings. Piscataway: IEEE , p. 1514-1518 5 p. 9506299

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    4 Citations (Scopus)
    32 Downloads (Pure)

  • Deep Hough-Transform Line Priors

    Lin, Y., Pintea, S. & van Gemert, J. C., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). European Conference on Computer Vision ECCV 2020: Computer Vision – ECCV 2020: Springer, Vol. 12367. p. 323-340 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12367 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    25 Citations (Scopus)