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Weiqiang Wang

8 papers hereh-index 328 citations10 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.AI1
  • cs.RO1
  • cs.SD1
same name
  • Weiqiang Wang — 131 papers, h 35
  • Weiqiang Wang — 31 papers, h 8
  • Weiqiang Wang — 10 papers, h 28
  • Weiqiang Wang — 9 papers, h 2
  • Weiqiang Wang — 9 papers, h 4
  • Weiqiang Wang — 8 papers

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
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence

GuangJian Team, Kaili Huang, Yongshuo Zhang +22

Optical Character Recognition (OCR) is evolving from plain-text transcription toward general visual intelligence, requiring models to recognize, localize, and reason over textual i…

cs.SD2026

MECT: Mixture of Experts with CNN-Transformer Network for Speaker verification

Yu Zheng, Jinghan Peng, ChangHao Zhang +2

In this paper, we propose MECT, a speaker verification model that integrates the Mixture-of-Experts (MoE) mechanism into a CNN-Transformer backbone with optimized block structure a…

cs.RO2026

Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric Attention

Siyu Wu, Linjing You, Junjie Zhu +9

World Action Models (WAMs) jointly predict future visual observations and actions, but visual futures alone often miss slip, jamming, contact-direction changes, and subtle misalign…

cs.CV2026

LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs

Keda Tao, Yuhua Zheng, Jia Xu +13

Recent advancements in omnimodal large language models (OmniLLMs) have significantly improved the comprehension of audio and video inputs. However, current evaluations primarily fo…

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