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Jian Yang

12 papers hereh-index 683 citations22 works total

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

author position
  • middle author8
  • last author4

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG1
same name
  • Jian Yang — 76 papers, h 76
  • Jian Yang — 36 papers, h 26
  • Jian Yang — 26 papers, h 19
  • Jian Yang — 21 papers, h 11
  • Jian Yang — 21 papers, h 3
  • Jian Yang — 18 papers, h 10

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 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

PhysVR: Vision-Language Model Guided Interference-aware Temporal Feature Refinement for Remote Physiological Measurement

Zixu Li, Jianjun Qian, Hang Shao +3

Remote photoplethysmography (rPPG) enables contactless physiological measurement from facial videos, yet its subtle pulse-related variations are easily affected by illumination var…

cs.CV2026

PhysFlow: Frequency Decoupled with Dual-Field Rectified Flow for Remote Photoplethysmography

Zixu Li, jianjun Qian, Hang Shao +2

Remote Photoplethysmography (rPPG) enables contactless pulse estimation from facial videos, serving as a vital tool for health monitoring. However, current deep learning methods of…

cs.CV2026

ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation

Yanguang Sun, Hengmin Zhang, Jianjun Qian +2

Early identification and removal of polyps can reduce the risk of developing colorectal cancer. However, the diverse morphologies, complex backgrounds and often concealed nature of…

cs.CV2026

Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation

Yanguang Sun, Chao Wang, Jian Yang +1

Accurately localizing and segmenting relevant objects from optical remote sensing images (ORSIs) is critical for advancing remote sensing applications. Existing methods are typical…

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