no code implementations • 11 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.
no code implementations • 2 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.
no code implementations • 2 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.).
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.
1 code implementation • 8 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.
2 code implementations • 25 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.
Ranked #3 on Pedestrian Attribute Recognition on PETA
3 code implementations • 29 Dec 2018 • Houjing Huang, Wenjie Yang, Xiaotang Chen, Xin Zhao, Kaiqi Huang, Jinbin Lin, Guan Huang, Dalong Du
Person re-identification (ReID) has achieved significant improvement under the single-domain setting.
no code implementations • CVPR 2018 • Houjing Huang, Dangwei Li, Zhang Zhang, Xiaotang Chen, Kaiqi Huang
Person re-identification (ReID) is the task of retrieving particular persons across different cameras.
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.
Ranked #110 on Person Re-Identification on Market-1501
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.
no code implementations • 19 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.
2 code implementations • 23 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.
1 code implementation • 12 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.