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Ziwei Liu

9 papers hereh-index 10302 citations17 works total

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

author position
  • first author1
  • middle author3
  • last author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.RO2
same name
  • Ziwei Liu — 102 papers, h 72
  • Ziwei Liu — 26 papers, h 18
  • Ziwei Liu — 24 papers, h 16
  • Ziwei Liu — 23 papers, h 19
  • Ziwei Liu — 23 papers, h 20
  • Ziwei Liu — 23 papers, h 12

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
20242026
most citedCompositional Generative Model of Unbounded 4D Cities

3 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions

Yukang Cao, Haozhe Xie, Fangzhou Hong +4

We present HSImul3R, a unified framework for simulation-ready 3D reconstruction of human-scene interactions (HSI) from casual captures, including sparse-view images and monocular v…

cs.RO2026

DGS-Net: Learning Dexterous Grasps from Single-View Point Clouds via a Multi-Object Scene Dataset

Tao Geng, Dapeng Yang, Ziwei Liu +6

Dexterous grasping in multi-object scene constitutes a fundamental challenge in robotic manipulation. Current mainstream grasping datasets predominantly focus on single-object scen…

cs.RO2026

DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation

Haozhe Xie, Beichen Wen, Jiarui Zheng +4

Manipulating dynamic objects remains an open challenge for Vision-Language-Action (VLA) models. Although recent VLAs generalize well in static manipulation, dynamic scenes introduc…

cs.CV2026

OnlineSI: Taming Large Language Model for Online 3D Understanding and Grounding

Zixian Liu, Zhaoxi Chen, Liang Pan +1

In recent years, researchers have increasingly been interested in how to enable Multimodal Large Language Models (MLLM) to possess spatial understanding and reasoning capabilities.…

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