Search Results for author: Jinjia Peng

Found 13 papers, 0 papers with code

Unsupervised Vehicle Re-identification with Progressive Adaptation

no code implementations20 Jun 2020 Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang

For PAL, a data adaptation module is employed for source domain, which generates the images with similar data distribution to unlabeled target domain as ``pseudo target samples''.

Unsupervised Vehicle Re-Identification Vehicle Re-Identification

Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification

no code implementations16 Mar 2020 Huibing Wang, Jinjia Peng, Guangqi Jiang, Fengqiang Xu, Xianping Fu

In TCPM, triplet-center loss is introduced to ensure each part of vehicle features extracted has intra-class consistency and inter-class separability.

Dictionary Learning Vehicle Re-Identification

Attribute-guided Feature Learning Network for Vehicle Re-identification

no code implementations12 Jan 2020 Huibing Wang, Jinjia Peng, Dongyan Chen, Guangqi Jiang, Tongtong Zhao, Xianping Fu

Specially, an attribute-guided module is proposed in AGNet to generate the attribute mask which could inversely guide to select discriminative features for category classification.

Attribute Vehicle Re-Identification

Eliminating cross-camera bias for vehicle re-identification

no code implementations21 Dec 2019 Jinjia Peng, Guangqi Jiang, Dongyan Chen, Tongtong Zhao, Huibing Wang, Xianping Fu

Vehicle re-identification (reID) often requires recognize a target vehicle in large datasets captured from multi-cameras.

Vehicle Re-Identification

Graph-based Multi-view Binary Learning for Image Clustering

no code implementations11 Dec 2019 Guangqi Jiang, Huibing Wang, Jinjia Peng, Dongyan Chen, Xianping Fu

To address these problems, we propose a novel binary code algorithm for clustering, which adopts graph embedding to preserve the original data structure, called (Graph-based Multi-view Binary Learning) GMBL in this paper.

Clustering Graph Embedding +1

Purifying Real Images with an Attention-guided Style Transfer Network for Gaze Estimation

no code implementations10 Jul 2019 Yuxiao Yan, Yang Yan, Jinjia Peng, Huibing Wang, Xianping Fu

Different from the previous methods, this paper try to purify real image by extracting discriminative and robust features to convert outdoor real images to indoor synthetic images.

Gaze Estimation Style Transfer

Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification

no code implementations30 Apr 2019 Jinjia Peng, Huibing Wang, Xianping Fu

To address this problem, this paper proposes a domain adaptation framework for vehicle reID (DAVR), which narrows the cross-domain bias by fully exploiting the labeled data from the source domain to adapt the target domain.

Domain Adaptation Image-to-Image Translation +1

Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction

no code implementations1 Apr 2019 Huibing Wang, Jinjia Peng, Xianping Fu

However, facing with features from multiple views, it's difficult for most dimension reduction methods to fully comprehended multi-view features and integrate compatible and complementary information from these features to construct low-dimensional subspace directly.

Dimensionality Reduction Document Classification +3

Self-Weighted Multiview Metric Learning by Maximizing the Cross Correlations

no code implementations19 Mar 2019 Huibing Wang, Jinjia Peng, Xianping Fu

With the development of multimedia time, one sample can always be described from multiple views which contain compatible and complementary information.

Face Recognition Image Retrieval +2

Mask-guided Style Transfer Network for Purifying Real Images

no code implementations19 Mar 2019 Tongtong Zhao, Yuxiao Yan, Jinjia Peng, Huibing Wang, Xianping Fu

To solve this problem, the previous method learned a model to improve the realism of the synthetic images.

Style Transfer

Guiding Intelligent Surveillance System by learning-by-synthesis gaze estimation

no code implementations8 Oct 2018 Tongtong Zhao, Yuxiao Yan, Jinjia Peng, Zetian Mi, Xianping Fu

In an attempt to address this issue, previous method is to improve the realism of synthetic images by learning a model.

Gaze Estimation

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