Jiagang Zhu

According to our database, Jiagang Zhu authored at least 25 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition.

Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

Semi-global shape-aware attention network for image segmentation and retrieval.

Pengju Zhang, Jiagang Zhu, Chaofan Zhang, Zheng Rong, Yihong Wu

Neurocomputing, 2022

2021

Face-NMS: A Core-set Selection Approach for Efficient Face Recognition.

Yunze Chen, Junjie Huang, Jiagang Zhu, Zheng Zhu, Tian Yang, Guan Huang, Dalong Du

CoRR, 2021

Masked Face Recognition Challenge: The WebFace260M Track Report.

Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie Zhou

CoRR, 2021

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition.

Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Semi-Global Shape-aware Network.

Pengju Zhang, Yihong Wu, Jiagang Zhu

CoRR, 2020

Refinement of Boundary Regression Using Uncertainty in Temporal Action Localization.

Yunze Chen, Mengjuan Chen, Rui Wu, Jiagang Zhu, Zheng Zhu, Qingyi Gu

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Action Machine: Toward Person-Centric Action Recognition in Videos.

Jiagang Zhu, Wei Zou, Zheng Zhu, Liang Xu, Guan Huang

IEEE Signal Process. Lett., 2019

Convolutional relation network for skeleton-based action recognition.

Jiagang Zhu, Wei Zou, Zheng Zhu, Yiming Hu

Neurocomputing, 2019

Multi-Loss-Aware Channel Pruning of Deep Networks.

Yiming Hu, Siyang Sun, Jianquan Li, Jiagang Zhu, Xingang Wang, Qingyi Gu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Cluster Regularized Quantization for Deep Networks Compression.

Yiming Hu, Jianquan Li, Xianlei Long, Shenhua Hu, Jiagang Zhu, Xingang Wang, Qingyi Gu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Action Machine: Rethinking Action Recognition in Trimmed Videos.

Jiagang Zhu, Wei Zou, Liang Xu, Yiming Hu, Zheng Zhu, Manyu Chang, Junjie Huang, Guan Huang, Dalong Du

CoRR, 2018

An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes.

Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu

CoRR, 2018

Optical Flow Based Online Moving Foreground Analysis.

Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu

CoRR, 2018

Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes.

Junjie Huang, Wei Zou, Jiagang Zhu, Zheng Zhu

CoRR, 2018

End-to-end Video-level Representation Learning for Action Recognition.

Jiagang Zhu, Zheng Zhu, Wei Zou

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Two-Stream Gated Fusion ConvNets for Action Recognition.

Jiagang Zhu, Wei Zou, Zheng Zhu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Learning Evasion Strategy in Pursuit-Evasion by Deep Q-network.

Jiagang Zhu, Wei Zou, Zheng Zhu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

End-to-end Video-level Representation Learning for Action Recognition.

Jiagang Zhu, Wei Zou, Zheng Zhu, Lin Li

CoRR, 2017

Learning Gating ConvNet for Two-Stream based Methods in Action Recognition.

Jiagang Zhu, Wei Zou, Zheng Zhu

CoRR, 2017

2016

基于类内散度的粗糙one-class支持向量机 (Rough Set One-class Support Vector Machine Based on Within-class Scatter).

Bin Zhang, Jiagang Zhu

计算机科学, 2016

2015

基于特征贡献度加权高斯核函数的粗糙one-class支持向量机 (WFCD-based Rough Set One-class Support Vector Machine).

Haobing Tian, Jiagang Zhu, Xiao Lu

计算机科学, 2015

2006

A novel adaptive SVR based filter ASBF for image restoration.

Jiagang Zhu, Shitong Wang, Xisheng Wu, Korris Fu-Lai Chung

Soft Comput., 2006

Experimental study on parameter choices in norm-<i>r</i> support vector regression machines with noisy input.

Shitong Wang, Jiagang Zhu, Fu-Lai Chung, Dewen Hu

Soft Comput., 2006

2005

Theoretically Optimal Parameter Choices for Support Vector Regression Machines with Noisy Input.

Shitong Wang, Jiagang Zhu, Fu-Lai Chung, Lin Qing, Dewen Hu

Soft Comput., 2005