Shangbo Mao

According to our database, Shangbo Mao authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

SCA-PVNet: Self-and-cross attention based aggregation of point cloud and multi-view for 3D object retrieval.

Dongyun Lin, Yi Cheng, Aiyuan Guo, Shangbo Mao, Yiqun Li

Knowl. Based Syst., 2024

PEVA-Net: Prompt-Enhanced View Aggregation Network for Zero/Few-Shot Multi-View 3D Shape Recognition.

Dongyun Lin, Yi Cheng, Shangbo Mao, Aiyuan Guo, Yiqun Li

CoRR, 2024

Partclip: How Does Clip Assist Mechanical Part Image Retrieval?

Shangbo Mao, Dongyun Lin, Aiyuan Guo, Yiqun Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multiscale Graph Texture Network.

Ravishankar Evani, Deepu Rajan, Shangbo Mao

Proceedings of the Computer Vision - ECCV 2024, 2024

2021

Deep residual pooling network for texture recognition.

Shangbo Mao, Deepu Rajan, Liang-Tien Chia

Pattern Recognit., 2021

2020

R-ELMNet: Regularized extreme learning machine network.

Guanghao Zhang, Yue Li, Dongshun Cui, Shangbo Mao, Guang-Bin Huang

Neural Networks, 2020

Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine.

Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang

Int. J. Mach. Learn. Cybern., 2020

Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment.

Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang

CoRR, 2020

2019

Salient Textural Anomaly Proposals and Classification for Metal Surface Anomalies.

Vidhya Natarajan, Shangbo Mao, Liang-Tien Chia

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC.

Shangbo Mao, Vidhya Natarajan, Liang-Tien Chia, Guang-Bin Huang

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder.

Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang

Proceedings of ELM 2018, 2018

2017

A theoretical study of the relationship between an ELM network and its subnetworks.

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining.

Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

CoRR, 2016