Search Results for author: Xiaotang Chen

Found 10 papers, 4 papers with code

Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition

no code implementations ICCV 2021 Jian Jia, Xiaotang Chen, Kaiqi Huang

To fully exploit inter-image relations and aggregate human prior in the model learning process, we construct a Spatial and Semantic Consistency (SSC) framework that consists of two complementary regularizations to achieve spatial and semantic consistency for each attribute.

Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

no code implementations8 Jul 2021 Jian Jia, Houjing Huang, Xiaotang Chen, Kaiqi Huang

Second, based on the proposed definition, we expose the limitations of the existing datasets, which violate the academic norm and are inconsistent with the essential requirement of practical industry application.

Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

1 code implementation25 May 2020 Jian Jia, Houjing Huang, Wenjie Yang, Xiaotang Chen, Kaiqi Huang

Despite various methods are proposed to make progress in pedestrian attribute recognition, a crucial problem on existing datasets is often neglected, namely, a large number of identical pedestrian identities in train and test set, which is not consistent with practical application.

Pedestrian Attribute Recognition

Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification

no code implementations CVPR 2017 Dangwei Li, Xiaotang Chen, Zhang Zhang, Kaiqi Huang

It is a challenging task due to the large variations in person pose, occlusion, background clutter, etc How to extract powerful features is a fundamental problem in ReID and is still an open problem today.

Person Identification Person Re-Identification +1

Beyond triplet loss: a deep quadruplet network for person re-identification

no code implementations CVPR 2017 Weihua Chen, Xiaotang Chen, Jian-Guo Zhang, Kaiqi Huang

In particular, a quadruplet deep network using a margin-based online hard negative mining is proposed based on the quadruplet loss for the person ReID.

Person Re-Identification

A Multi-task Deep Network for Person Re-identification

no code implementations19 Jul 2016 Weihua Chen, Xiaotang Chen, Jian-Guo Zhang, Kaiqi Huang

Person re-identification (ReID) focuses on identifying people across different scenes in video surveillance, which is usually formulated as a binary classification task or a ranking task in current person ReID approaches.

Person Re-Identification

A Richly Annotated Dataset for Pedestrian Attribute Recognition

1 code implementation23 Mar 2016 Dangwei Li, Zhang Zhang, Xiaotang Chen, Haibin Ling, Kaiqi Huang

RAP has in total 41, 585 pedestrian samples, each of which is annotated with 72 attributes as well as viewpoints, occlusions, body parts information.

Pedestrian Attribute Recognition

An equalised global graphical model-based approach for multi-camera object tracking

1 code implementation12 Feb 2015 Weihua Chen, Lijun Cao, Xiaotang Chen, Kaiqi Huang

Non-overlapping multi-camera visual object tracking typically consists of two steps: single camera object tracking and inter-camera object tracking.

Visual Object Tracking

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