Shanghua Liu

According to our database, Shanghua Liu authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

LeafTrackNet: A Deep Learning Framework for Robust Leaf Tracking in Top-Down Plant Phenotyping.

Shanghua Liu, Majharulislam Babor, Christoph Verduyn, Breght Vandenberghe, Bruno Betoni Parodi, Cornelia Weltzien, Marina M.-C. Höhne

CoRR, December, 2025

2024

Explainable AI in grassland monitoring: Enhancing model performance and domain adaptability.

Shanghua Liu, Anna Hedström, Deepak Hanike Basavegowda, Cornelia Weltzien, Marina M.-C. Höhne

Proceedings of the 44. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2024

2021

SiamFPN: A Deep Learning Method for Accurate and Real-Time Maritime Ship Tracking.

Yunxiao Shan, Xiaomei Zhou, Shanghua Liu, Yunfei Zhang, Kai Huang

IEEE Trans. Circuits Syst. Video Technol., 2021

LMD-TShip^⋆: Vision Based Large-Scale Maritime Ship Tracking Benchmark for Autonomous Navigation Applications.

Yunxiao Shan, Shanghua Liu, Yunfei Zhang, Min Jing, Huawei Xu

IEEE Access, 2021

2020

3D Object Detection and Tracking Based on Streaming Data.

Xusen Guo, Jiangfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang

CoRR, 2020

3D Object Detection and Tracking Based on Streaming Data.

Xusen Guo, Jianfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020