Haibo Yao

According to our database, Haibo Yao authored at least 13 papers between 2003 and 2024.

Collaborative distances:

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

2024

Hierarchical Attention Networks for Fact-based Visual Question Answering.

Haibo Yao, Yongkang Luo, Zhi Zhang, Jianhang Yang, Chengtao Cai

Multim. Tools Appl., February, 2024

Language conditioned multi-scale visual attention networks for visual grounding.

Haibo Yao, Lipeng Wang, Chengtao Cai, Wei Wang, Zhi Zhang, Xiaobing Shang

Image Vis. Comput., 2024

2023

Multi-modal spatial relational attention networks for visual question answering.

Haibo Yao, Lipeng Wang, Chengtao Cai, Yuxin Sun, Zhi Zhang, Yongkang Luo

Image Vis. Comput., December, 2023

2017

Classifying common wetland plants using hyperspectral data to identify optimal spectral bands for species mapping using a small unmanned aerial systems - A case study.

Sathishkumar Samiappan, Gray Turnage, Lee Hathcock, Haibo Yao, Russell Kincaid, Robert J. Moorhead II, Steve Ashby

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Detection of crop herbicide injury through plant hyperspectral remote sensing of chlorophyll fluorescence.

Yanbo Huang, Haibo Yao, Feng Zhao, Krishna N. Reddy

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2014

Determining the Effects of Storage on Cotton and Soybean Leaf Samples for Hyperspectral Analysis.

Matthew A. Lee, Yanbo Huang, Haibo Yao, Steven J. Thomson, Lori Mann Bruce

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013

Support vector machines classification of fluorescence hyperspectral image for detection of aflatoxin in corn kernels.

Sathishkumar Samiappan, Lori M. Bruce, Haibo Yao, Zuzana Hruska, Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Determining optimal storage of field sampled cotton leaves for hyperspectral analysis.

Matthew A. Lee, Yanbo Huang, Haibo Yao, Lori M. Bruce

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

2012

SVM-based feature extraction and classification of aflatoxin contaminated corn using fluorescence hyperspectral data.

Haibo Yao, Zuzana Hruska, Russell Kincaid, Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland

Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

2011

Selective principal component regression analysis of fluorescence hyperspectral image to assess aflatoxin contamination in corn.

Haibo Yao, Zuzana Hruska, Russell Kincaid, Ambrose E. Ononye, Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2010

Spectral Angle Mapper classification of fluorescence hyperspectral image for aflatoxin contaminated corn.

Haibo Yao, Zuzana Hruska, Russell Kincaid, Ambrose E. Ononye, Robert L. Brown, Thomas E. Cleveland

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

2006

Investigation on the Potential of using ASTER Image for Corn Plant Residue Coverage Estimation in Three Indiana Counties.

D. Lewis, Haibo Yao, J. Fridgen, R. Kincaid

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2003

A genetic-algorithm-based selective principal component analysis (GA-SPCA) method for high-dimensional data feature extraction.

Haibo Yao, Lei Tian

IEEE Trans. Geosci. Remote. Sens., 2003