Search Results for author: Xiaotang Chen

Found 13 papers, 6 papers with code

See Your Heart: Psychological states Interpretation through Visual Creations

no code implementations11 Feb 2023 Likun Yang, Xiaokun Feng, Xiaotang Chen, Shiyu Zhang, Kaiqi Huang

Dataset analysis illustrates that SpyIn is not only able to support VEIT, but also more challenging compared with other captioning datasets.

Emotion Classification Image Captioning

Learning Disentangled Label Representations for Multi-label Classification

no code implementations2 Dec 2022 Jian Jia, Fei He, Naiyu Gao, Xiaotang Chen, Kaiqi Huang

The specificity of the framework lies in a feature disentangle module, which contains learnable semantic queries and a Semantic Spatial Cross-Attention (SSCA) module.

Attribute Classification +6

Split Semantic Detection in Sandplay Images

no code implementations2 Mar 2022 Xiaokun Feng, Xiaotang Chen, Jian Jia, Kaiqi Huang

Sandplay image, as an important psychoanalysis carrier, is a visual scene constructed by the client selecting and placing sand objects (e. g., sand, river, human figures, animals, vegetation, buildings, etc.).

Attribute Dimensionality Reduction

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.

Attribute Pedestrian Attribute Recognition

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

1 code implementation8 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.

Attribute Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

2 code implementations25 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.

Attribute 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

3 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.

Binary Classification Person Re-Identification

A Richly Annotated Dataset for Pedestrian Attribute Recognition

2 code implementations23 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.

Attribute 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.

Object Visual Object Tracking

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