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Hongyu Liu

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • quant-ph1
ORCID 0000-0002-4628-6388
same name
  • Hongyu Liu — 59 papers, h 39
  • Hongyu Liu — 19 papers
  • Hongyu Liu — 6 papers
  • Hongyu Liu — 2 papers, h 10
  • Hongyu Liu — 2 papers
  • Hongyu Liu — 1 paper

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

most citedHuman MotionFormer: Transferring Human Motions with Vision Transformers

5 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

XFormer: Fast and Accurate Monocular 3D Body Capture

Lihui Qian, Xintong Han, Faqiang Wang +6

We present XFormer, a novel human mesh and motion capture method that achieves real-time performance on consumer CPUs given only monocular images as input. The proposed network arc…

cs.CV2023★ 2 cited

Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding

Ziyang Yuan, Yiming Zhu, Yu Li +2

3D GAN inversion aims to achieve high reconstruction fidelity and reasonable 3D geometry simultaneously from a single image input. However, existing 3D GAN inversion methods rely o…

cs.CV2023★ 5 cited

Human MotionFormer: Transferring Human Motions with Vision Transformers

Hongyu Liu, Xintong Han, Chengbin Jin +8

Human motion transfer aims to transfer motions from a target dynamic person to a source static one for motion synthesis. An accurate matching between the source person and the targ…

quant-ph2016

Adiabatic Generation of N-quNit Singlet States with Cavity QED

Li-Xiang Ye, Xiu Lin, Rong-Can Yang +1

A theoretical scheme is presented for the adiabatic generation of N-quNit singlet states with N⩾3, which may be more feasible than previous ones in a cavity. In this prop…

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