Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Triple Spectral Fusion for Sensor-based Human Activity Recognition.

IEEE transactions on pattern analysis and machine intelligence·2026

Same author

DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition.

IEEE transactions on pattern analysis and machine intelligence·2026

Same author

Fully automated, deep learning, cardiac CT-based multimodal network for cardiovascular risk stratification in high-risk perioperative patients.

European heart journal. Digital health·2026

Same author

Trait Association for Flowering Time in Lentil from Global Multi-Environment Data Using GWAS and Machine Learning.

Plants (Basel, Switzerland)·2026

Same author

LearnMat: Semantic-Aware Self-Supervision Fine-Grained Visual Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same author

AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis.

IEEE transactions on neural networks and learning systems·2026

Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 18, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification.

Lin Yuanbo Wu, Lingqiao Liu, Yang Wang

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|August 23, 2023

Summary

This summary is machine-generated.

This study introduces a new super-resolution-free method for cross-resolution person re-identification (CRReID). It uses dynamic metrics and adaptive representations to accurately match low-resolution and high-resolution images.

More Related Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Topographical Estimation of Visual Population Receptive Fields by fMRI

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Related Experiment Videos

Last Updated: Jul 18, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Topographical Estimation of Visual Population Receptive Fields by fMRI

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Area of Science:

Computer Vision
Artificial Intelligence
Machine Learning

Background:

Cross-resolution person re-identification (CRReID) matches low-resolution (LR) query images with high-resolution (HR) gallery images.
LR images often result from varied real-world camera conditions, posing a significant challenge.
Current CRReID methods rely on resolution-invariant representations or super-resolution (SR) modules.

Purpose of the Study:

To propose a novel super-resolution-free (SR-free) paradigm for CRReID.
To develop a dynamic metric adaptive to query image resolution for direct HR-LR comparison.
To enhance CRReID performance by learning resolution-adaptive representations.

Main Methods:

Introduced an SR-free approach using a dynamic metric adaptive to query image resolution.
Developed two resolution-adaptive mechanisms: varying-length representations and resolution-adaptive masks.
Employed a progressive learning strategy to effectively train the resolution-adaptive masks.

Main Results:

The proposed method achieves state-of-the-art performance on multiple CRReID benchmarks.
Experimental results demonstrate superior performance compared to existing CRReID approaches.
The combination of resolution-adaptive mechanisms significantly boosts CRReID performance.

Conclusions:

The proposed SR-free paradigm offers an effective alternative for CRReID.
Resolution-adaptive representations and mechanisms are crucial for improving cross-resolution matching.
The novel approach advances the field of person re-identification in diverse resolution scenarios.