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Pengcheng Gao

3 papers hereh-index 5421 citations14 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
same name
  • Pengcheng Gao — 1 paper, h 2
  • Pengcheng Gao — 1 paper, 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
20192023
most citedLarge-scale Multi-Modal Pre-trained Models: A Comprehensive Survey

14 citations · 23 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 14 cited

Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey

Xiao Wang, Guangyao Chen, Guangwu Qian +5

With the urgent demand for generalized deep models, many pre-trained big models are proposed, such as BERT, ViT, GPT, etc. Inspired by the success of these models in single domains…

cs.CV2021★ 9 cited

FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

Wei Gan, Jian Xue, Ke Lu +3

Nearly all existing Facial Action Coding System-based datasets that include facial action unit (AU) intensity information annotate the intensity values hierarchically using A--E le…

cs.LG2019

FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

Yanfu Yan, Ke Lu, Jian Xue +2

Facial expression analysis based on machine learning requires large number of well-annotated data to reflect different changes in facial motion. Publicly available datasets truly h…

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