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researcher

Zhiyang Liu

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV2
  • cs.AR1
  • cs.RO1
ORCID 0000-0003-1057-8706
same name
  • Zhiyang Liu — 3 papers
  • Zhiyang Liu — 1 paper, h 7
  • Zhiyang Liu — 1 paper
  • Zhiyang Liu — 1 paper
  • Zhiyang Liu — 1 paper
  • Zhiyang Liu — 1 paper, h 5

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 citedAn Efficient FPGA-Based Accelerator for Swin Transformer

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

collaborators

4 papers

cs.CV2024

You Only Scan Once: A Dynamic Scene Reconstruction Pipeline for 6-DoF Robotic Grasping of Novel Objects

Lei Zhou, Haozhe Wang, Zhengshen Zhang +3

In the realm of robotic grasping, achieving accurate and reliable interactions with the environment is a pivotal challenge. Traditional methods of grasp planning methods utilizing…

cs.CV2023★ 1 cited

DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose Estimation

Lei Zhou, Zhiyang Liu, Runze Gan +2

Category-level object pose estimation involves estimating the 6D pose and the 3D metric size of objects from predetermined categories. While recent approaches take categorical shap…

cs.AR2023★ 3 cited

An Efficient FPGA-Based Accelerator for Swin Transformer

Zhiyang Liu, Pengyu Yin, Zhenhua Ren

Since introduced, Swin Transformer has achieved remarkable results in the field of computer vision, it has sparked the need for dedicated hardware accelerators, specifically cateri…

cs.RO2023★ 1 cited

Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics

Yuwei Wu, Weixiao Liu, Zhiyang Liu +1

Robotic grasping is an essential and fundamental task and has been studied extensively over the past several decades. Traditional work analyzes physical models of the objects and c…

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