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Yiming Lin

4 papers hereh-index 3120 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.GR1
same name
  • Yiming Lin — 13 papers, h 9
  • Yiming Lin — 4 papers, h 7
  • Yiming Lin — 4 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedFP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

5 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.GR2026

OmniFaceRig: Fully Automatic Inner-Mouth-Aware Face Rigging Across Diverse 3D Character Topologies

Chao Wang, Guangyao Ma, John Doublestein +10

Facial rigging - creating FACS-based blendshapes together with inner-mouth geometry (teeth, gums, and tongue) - remains a major bottleneck in 3D character production. Existing pipe…

cs.CV2021★ 5 cited

FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

Yiming Lin, Jie Shen, Yujiang Wang +1

Image-based age estimation aims to predict a person's age from facial images. It is used in a variety of real-world applications. Although end-to-end deep models have achieved impr…

cs.CV2021★ 2 cited

RoI Tanh-polar Transformer Network for Face Parsing in the Wild

Yiming Lin, Jie Shen, Yujiang Wang +1

Face parsing aims to predict pixel-wise labels for facial components of a target face in an image. Existing approaches usually crop the target face from the input image with respec…

cs.CV2020★ 3 cited

Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation

Yujiang Wang, Mingzhi Dong, Jie Shen +2

Dilated convolutions are widely used in deep semantic segmentation models as they can enlarge the filters' receptive field without adding additional weights nor sacrificing spatial…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.