VLMSNet: View Large to Measure Shape.

Zhang Q, Liu L, Liu T, Liu J, Phillip Chen CL, Wang Y

DOI: 10.1109/tip.2026.3734046
Published: 2026 Sep 21
Container: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tip.2026.3734046,
  title = {VLMSNet: View Large to Measure Shape.},
  author = {Zhang Q and Liu L and Liu T and Liu J and Phillip Chen CL and Wang Y},
  year = {2026},
  journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  doi = {10.1109/tip.2026.3734046},
  url = {https://doi.org/10.1109/tip.2026.3734046}
}

RIS

TY  - JOUR
TI  - VLMSNet: View Large to Measure Shape.
AU  - Zhang Q
AU  - Liu L
AU  - Liu T
AU  - Liu J
AU  - Phillip Chen CL
AU  - Wang Y
PY  - 2026
JO  - IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DO  - 10.1109/tip.2026.3734046
UR  - https://doi.org/10.1109/tip.2026.3734046
ER  -

APA

Q, Z., L, L., T, L., J, L., CL, P. C., & Y, W. (2026). VLMSNet: View Large to Measure Shape.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. https://doi.org/10.1109/tip.2026.3734046

Source records

pubmed · retrieved 2026-09-25T03:30:42.276Z