Search Results - "Xiaotang Chen"

A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios by Li, Dangwei, Zhang, Zhang, Chen, Xiaotang, Huang, Kaiqi

“…Retrieving specific persons with various types of queries, e.g., a set of attributes or a portrait photo has great application potential in large-scale…”
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Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification by Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang

“…Person re-identification (ReID) is an important task in wide area video surveillance which focuses on identifying people across different cameras. Recently,…”
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Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification by Dangwei Li, Xiaotang Chen, Zhang Zhang, Kaiqi Huang

“…Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose,…”
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Adversarially Occluded Samples for Person Re-identification by Huang, Houjing, Li, Dangwei, Zhang, Zhang, Chen, Xiaotang, Huang, Kaiqi

“…Person re-identification (ReID) is the task of retrieving particular persons across different cameras. Despite its great progress in recent years, it is still…”
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Thermal conductivity of PTFE composites filled with graphite particles and carbon fibers by Jin, Zunlong, Chen, Xiaotang, Wang, Yongqing, Wang, Dingbiao

“…[Display omitted] •A numerical model is introduced for predicting thermal conductivity of composites.•250-mesh graphite has better modification effect than…”
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Pyridoxal-5'-phosphate-dependent enzyme GenB3 Catalyzes C-3',4'-dideoxygenation in gentamicin biosynthesis by Zhou, Shaotong, Chen, Xiaotang, Ni, Xianpu, Liu, Yu, Zhang, Hui, Dong, Min, Xia, Huanzhang

“…The C-3',4'-dideoxygenation structure in gentamicin can prevent deactivation by aminoglycoside 3'-phosphotransferase (APH(3')) in drug-resistant pathogens…”
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Numerical Analysis of the Influence of Different Flow Patterns on Power and Reactant Transmission in Tubular-Shaped PEMFC by Yuan, Lei, Jin, Zunlong, Yang, Penghui, Yang, Youchen, Wang, Dingbiao, Chen, Xiaotang

“…The influence of a tubular structure PEMFC (proton exchange membrane fuel cell) with different flow patterns is investigated in this study. A complete 3D…”
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The bifunctional enzyme, GenB4, catalyzes the last step of gentamicin 3',4'-di-deoxygenation via reduction and transamination activities by Chen, Xiaotang, Zhang, Hui, Zhou, Shaotong, Bi, Mingjun, Qi, Shizhou, Gao, Huiyuan, Ni, Xianpu, Xia, Huanzhang

“…New semi-synthetic aminoglycoside antibiotics generally use chemical modifications to avoid inactivity from pathogens. One of the most used modifications is…”
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Facile synthesis of homogeneously dispersed carbon nanotubes on TC4 alloy powder by in-situ CVD and its growth behavior by Lin, Bin, Chen, Xiaotang, Chen, Junfeng, Chen, Shujian, Lu, Ruihan, Liang, Siyan, Cui, Xiping, Chi, Haitao, Zou, Linchi

“…We developed a simple method of in-situ synthesize carbon nanotubes (CNTs) on Ti–6Al–4V (TC4) alloy powder to fabricate CNTs/TC4 compound powders through…”
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Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios by Dangwei Li, Xiaotang Chen, Kaiqi Huang

“…In real video surveillance scenarios, visual pedestrian attributes, such as gender, backpack, clothes types, are very important for pedestrian retrieval and…”
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A novel solution for multi-camera object tracking by Weihua Chen, Lijun Cao, Xiaotang Chen, Kaiqi Huang

“…The traditional multi-camera object tracking contains two steps: single camera object tracking (SCT) and inter-camera object tracking (ICT). The ICT…”
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Direction-based stochastic matching for pedestrian recognition in non-overlapping cameras by Xiaotang Chen, Kaiqi Huang, Tieniu Tan

“…Pedestrian recognition is a challenging problem in non-overlapping multi-camera object tracking. In this paper, we present a novel approach for matching…”
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Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification by Yang, Wenjie, Huang, Houjing, Zhang, Zhang, Chen, Xiaotang, Huang, Kaiqi, Zhang, Shu

“…The fundamental challenge of small inter-person variation requires Person Re-Identification (Re-ID) models to capture sufficient fine-grained information. This…”
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Bottom-Up Foreground-Aware Feature Fusion for Practical Person Search by Yang, Wenjie, Huang, Houjing, Chen, Xiaotang, Huang, Kaiqi

“…The key to efficient person search is jointly localizing pedestrians and learning discriminative representation for person re-identification (re-ID). Some…”
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An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking by Chen, Weihua, Cao, Lijun, Chen, Xiaotang, Huang, Kaiqi

“…Nonoverlapping multicamera visual object tracking typically consists of two steps: single-camera object tracking (SCT) and inter-camera object tracking (ICT)…”
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Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition by Jia, Jian, Chen, Xiaotang, Huang, Kaiqi

“…While recent studies on pedestrian attribute recognition have shown remarkable progress in leveraging complicated networks and attention mechanisms, most of…”
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Object tracking across non-overlapping views by learning inter-camera transfer models by Chen, Xiaotang, Huang, Kaiqi, Tan, Tieniu

“…In this paper, we introduce a novel algorithm to solve the problem of object tracking across multiple non-overlapping cameras by learning inter-camera transfer…”
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Improve Person Re-Identification With Part Awareness Learning by Huang, Houjing, Yang, Wenjie, Lin, Jinbin, Huang, Guan, Xu, Jiamiao, Wang, Guoli, Chen, Xiaotang, Huang, Kaiqi

“…Person re-identification (ReID) aims to predict whether two images from different cameras belong to the same person. Due to low image quality and variance in…”
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Object tracking across non-overlapping views by learning inter-camera transfer models : HANDWRITING RECOGNITION AND OTHER PR APPLICATIONS by XIAOTANG CHEN, KAIQI HUANG, TIENIU TAN

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An Effective Adversarial Training Based Spatial-Temporal Network for Abnormal Behavior Detection by Yin, Zhiyu, Chen, Xiaotang, Huang, Kaiqi

“…Unsupervised abnormal behavior detection has attracted much attention in recent years. It is a challenging task due to the undefinition and the sparsity of…”
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