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Yangyang Liu

9 papers hereh-index 51.7k citations11 works total

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

fields
  • cs.CV4
  • cs.CL2
  • cs.AI1
  • cs.LG1
  • eess.AS1
same name
  • Yangyang Liu — 6 papers, h 2
  • Yangyang Liu — 4 papers, h 3
  • Yangyang Liu — 2 papers, h 5
  • Yangyang Liu — 1 paper, h 2
  • Yangyang Liu — 1 paper, h 4
  • Yangyang Liu — 1 paper, h 2

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Paths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification

Yakun Huo, Yingquan Wang, Yangyang Liu +4

RGB-Event Video Person Re-Identification (RE-VReID) aims to retrieve specific person across non-overlapping cameras with complementary RGB videos and event streams. However, existi…

cs.CV2026

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models

Zichao Lin, Yifeng Xie, Bowen Qu +30

We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities of Multimodal Large Language Models (MLLMs). Existing benchmar…

cs.CV2026

WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models

Runjie Zhou, Youbo Shao, Haoyu Lu +16

We introduce WorldVQA, a benchmark designed to evaluate the atomic visual world knowledge of Multimodal Large Language Models (MLLMs). Unlike current evaluations, which often confl…

cs.CV2025

Signal: Selective Interaction and Global-local Alignment for Multi-Modal Object Re-Identification

Yangyang Liu, Yuhao Wang, Pingping Zhang

Multi-modal object Re-IDentification (ReID) is devoted to retrieving specific objects through the exploitation of complementary multi-modal image information. Existing methods main…

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