Tamir Sobeih

According to our database, Tamir Sobeih authored at least 13 papers between 2015 and 2026.

Collaborative distances:

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

2026

AgriPINN: A Process-Informed Neural Network for Interpretable and Scalable Crop Biomass Prediction Under Water Stress.

Yue Shi, Liangxiu Han, Xin Zhang, Tam Sobeih, Thomas Gaiser, Nguyen Huu Thuy, Dominik Behrend, Amit Kumar Srivastava, Krishnagopal Halder, Frank Ewert

CoRR, January, 2026

2025

Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges.

Yue Shi, Liangxiu Han, Xin Zhang, Tam Sobeih, Thomas Gaiser, Nguyen Huu Thuy, Dominik Behrend, Amit Kumar Srivastava, Krishnagopal Halder, Frank Ewert

CoRR, April, 2025

A novel energy-efficient spike transformer network for depth estimation from event cameras via cross-modality knowledge distillation.

Xin Zhang, Liangxiu Han, Sergio Davies, Tam Sobeih, Lianghao Han, Darren Dancey

Neurocomputing, 2025

ICIP 2025 Competition on Beyond Visible Spectrum: AI For Agriculture.

Liangxiu Han, Wenjiang Huang, Xin Zhang, Yue Shi, Yingying Dong, Tam Sobeih

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

2024

A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation.

Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Darren Dancey

CoRR, 2024

ICPR 2024 Competition on Beyond Visible Spectrum: AI for Agriculture.

Liangxiu Han, Wenjiang Huang, Xin Zhang, Yingying Dong, Tam Sobeih, Yufan Lin

Proceedings of the Pattern Recognition. Competitions - 27th International Conference, 2024

2023

CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images.

Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, February, 2023

2022

The Self-Supervised Spectral-Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery.

Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi

Remote. Sens., 2022

2021

The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery.

Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi

CoRR, 2021

CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images.

Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina C. Dempsey-Hibbert, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White

CoRR, 2021

2019

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images.

Xin Zhang, Liangxiu Han, Yingying Dong, Yue Shi, Wenjiang Huang, Lianghao Han, Pablo González-Moreno, Huiqin Ma, Huichun Ye, Tam Sobeih

Remote. Sens., 2019

2017

An Automated Cloud-Based Big Data Analytics Platform for Customer Insights.

Liangxiu Han, Muhammad Salman Haleem, Tam Sobeih, Ying Liu, Anthony Soroka, Lianghao Han

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

2015

DIVINE: Building a Wearable Device for Intelligent Control of Environment Using Google Glass.

Tamir Sobeih, Nick Whittaker, Liangxiu Han

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015