Results 231 to 240 of about 278,178 (274)

Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association

, 2018
Dapeng Chen, Hongsheng Li, Xihui Liu, Yantao Shen, Zejian Yuan, Xiaogang Wang   +5 more
openalex   +2 more sources

Weighted Bilinear Coding over Salient Body Parts for Person Re-identification

, 2018
Zhigang Chang, Qin Zhou, Heng Fan, Hang Su, Hua Yang, Shibao Zheng, Haibin Ling   +6 more
openalex   +2 more sources

Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification

, 2018
Xinxing Su, Yingtian Zou, Yu Cheng, Shuangjie Xu, Mo Yu, Pan Zhou   +5 more
openalex   +2 more sources

Incremental Learning in Person Re-Identification

, 2018
Prajjwal Bhargava
openalex   +2 more sources

Deep and low-level feature based attribute learning for person re-identification

, 2018
Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt   +4 more
openalex   +2 more sources

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Cluster Contrast for Unsupervised Person Re-Identification

Asian Conference on Computer Vision, 2021
State-of-the-art unsupervised re-ID methods train the neural networks using a memory-based non-parametric softmax loss. Instance feature vectors stored in memory are assigned pseudo-labels by clustering and updated at instance level. However, the varying
Zuozhuo Dai, Guangyuan Wang, Siyu Zhu, Weihao Yuan, P. Tan   +4 more
semanticscholar   +1 more source

Scalable Person Re-identification: A Benchmark

IEEE International Conference on Computer Vision, 2015
This paper contributes a new high quality dataset for person re-identification, named "Market-1501". Generally, current datasets: 1) are limited in scale, 2) consist of hand-drawn bboxes, which are unavailable under realistic settings, 3) have only one ...
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Q. Tian   +5 more
semanticscholar   +1 more source

Person re-identification by symmetry-driven accumulation of local features

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that model three complementary aspects of the human appearance: the overall chromatic content, the spatial arrangement of colors ...
M. Farenzena, Loris Bazzani, A. Perina, Vittorio Murino, M. Cristani   +4 more
semanticscholar   +1 more source

Harmonious Attention Network for Person Re-identification

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Existing person re-identification (re-id) methods either assume the availability of well-aligned person bounding box images as model input or rely on constrained attention selection mechanisms to calibrate misaligned images.
Wei Li, Xiatian Zhu, S. Gong
semanticscholar   +1 more source

An improved deep learning architecture for person re-identification

Computer Vision and Pattern Recognition, 2015
In this work, we propose a method for simultaneously learning features and a corresponding similarity metric for person re-identification. We present a deep convolutional architecture with layers specially designed to address the problem of re ...
Ejaz Ahmed, Michael Jones, Tim K. Marks
semanticscholar   +1 more source