Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Baosheng Yu

Baosheng Yu

Responsible Active Learning via Human-in-the-loop Peer Study

Nov 24, 2022
Yu-Tong Cao, Jingya Wang, Baosheng Yu, Dacheng Tao

Figure 1 for Responsible Active Learning via Human-in-the-loop Peer Study

Figure 2 for Responsible Active Learning via Human-in-the-loop Peer Study

Figure 3 for Responsible Active Learning via Human-in-the-loop Peer Study

Figure 4 for Responsible Active Learning via Human-in-the-loop Peer Study

* 15 pages, 8 figures

Access Paper or Ask Questions

Knowledge-Aware Federated Active Learning with Non-IID Data

Nov 24, 2022
Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao

Figure 1 for Knowledge-Aware Federated Active Learning with Non-IID Data

Figure 2 for Knowledge-Aware Federated Active Learning with Non-IID Data

Figure 3 for Knowledge-Aware Federated Active Learning with Non-IID Data

Figure 4 for Knowledge-Aware Federated Active Learning with Non-IID Data

* 14 pages, 12 figures

Access Paper or Ask Questions

Domain-Specific Risk Minimization

Aug 23, 2022
Yi-Fan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie

Figure 1 for Domain-Specific Risk Minimization

Figure 2 for Domain-Specific Risk Minimization

Figure 3 for Domain-Specific Risk Minimization

Figure 4 for Domain-Specific Risk Minimization

* ECCV 2022 Workshop on Out-of-Distribution Generalization in Computer Vision

Access Paper or Ask Questions

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Aug 01, 2022
Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu

Figure 1 for Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Figure 2 for Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Figure 3 for Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Figure 4 for Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

* To Appear at ECCV 2022

Access Paper or Ask Questions

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

Jul 20, 2022
Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He

Figure 1 for MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

Figure 2 for MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

Figure 3 for MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

Figure 4 for MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

* accepted by ECCV

Access Paper or Ask Questions

Deep Dictionary Learning with An Intra-class Constraint

Jul 14, 2022
Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi

Figure 1 for Deep Dictionary Learning with An Intra-class Constraint

Figure 2 for Deep Dictionary Learning with An Intra-class Constraint

Figure 3 for Deep Dictionary Learning with An Intra-class Constraint

Figure 4 for Deep Dictionary Learning with An Intra-class Constraint

* 6 pages, 3 figures, 2 tables. It has been accepted in ICME2022

Access Paper or Ask Questions

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Jul 06, 2022
Haibo Qiu, Baosheng Yu, Dacheng Tao

Figure 1 for GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Figure 2 for GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Figure 3 for GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Figure 4 for GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

* Code is available at \url{https://github.com/haibo-qiu/GFNet}

Access Paper or Ask Questions