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Jiarui Yang

21 papers hereh-index 596 citations11 works total

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

author position
  • first author10
  • middle author10

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.RO8
  • cs.LG2
  • cs.CE1
same name
  • Jiarui Yang — 2 papers, h 2
  • Jiarui Yang — 2 papers, h 3
  • Jiarui Yang — 2 papers, h 3
  • Jiarui Yang — 1 paper, h 2
  • Jiarui Yang — 1 paper, h 2
  • Jiarui Yang — 1 paper, h 6

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
20232026
collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization

Wen Huang, Jiarui Yang, Tao Dai +4

Visual manipulation localization (VML) aims to identify tampered regions in images and videos, a task that has become increasingly challenging with the rise of advanced editing too…

cs.LG2025

RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-Wave Point Cloud Sequence

Zengyuan Lai, Jiarui Yang, Songpengcheng Xia +6

Millimeter-wave radar offers a privacy-preserving and environment-robust alternative to vision-based sensing, enabling human motion analysis in challenging conditions such as low l…

cs.CV2025

Suite-IN++: A FlexiWear BodyNet Integrating Global and Local Motion Features from Apple Suite for Robust Inertial Navigation

Lan Sun, Songpengcheng Xia, Jiarui Yang +1

The proliferation of wearable technology has established multi-device ecosystems comprising smartphones, smartwatches, and headphones as critical enablers for ubiquitous pedestrian…

cs.CV2025

mmDEAR: mmWave Point Cloud Density Enhancement for Accurate Human Body Reconstruction

Jiarui Yang, Songpengcheng Xia, Zengyuan Lai +4

Millimeter-wave (mmWave) radar offers robust sensing capabilities in diverse environments, making it a highly promising solution for human body reconstruction due to its privacy-fr…

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