Deep feature learning with relative distance comparison for person re-identification
Top Cited Papers
- 1 October 2015
- journal article
- Published by Elsevier BV in Pattern Recognition
- Vol. 48 (10), 2993-3003
- https://doi.org/10.1016/j.patcog.2015.04.005
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (61173081, 61173082)
- Guangdong Science and Technology Program (2012B031500006)
- Guangdong Natural Science Foundation (S2013050014548, S2011020001215)
- Integration of Industry, Education and Research of Guangdong Province (2012B091000101)
- Program of Guangzhou Zhujiang Star of Science and Technology (2013J2200067)
This publication has 30 references indexed in Scilit:
- Set-label modeling and deep metric learning on person re-identificationNeurocomputing, 2015
- Discriminatively Trained And-Or Graph Models for Object Shape DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
- Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric LearningIEEE Transactions on Image Processing, 2014
- Human Reidentification with Transferred Metric LearningLecture Notes in Computer Science, 2013
- Representing and recognizing objects with massive local image patchesPattern Recognition, 2012
- Towards Person Identification and Re-identification with AttributesLecture Notes in Computer Science, 2012
- Person Re-identification: What Features Are Important?Lecture Notes in Computer Science, 2012
- A stochastic graph grammar for compositional object representation and recognitionPattern Recognition, 2009
- Learning a Mahalanobis distance metric for data clustering and classificationPattern Recognition, 2008
- Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized FeaturesLecture Notes in Computer Science, 2008