Liu, L., Fieguth, P., Guo, Y., Wang, X., & Pietikäinen, M. (2017). Local binary features for texture classification: Taxonomy and experimental study Pattern Recognition, 62, 135-160.
Reference author: Li Liu
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Li
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Liu
Liu, L., Fieguth, P., Wang, X., Pietikäinen, M., & Hu, D. (2016). Evaluation of LBP and deep texture descriptors with a new robustness benchmark European Conference on Computer Vision, 69-86. Springer, Cham.
Liu, L., Fieguth, P., Zhao, G., Pietikäinen, M., & Hu, D. (2016). Extended local binary patterns for face recognition Information Sciences, 358, 56-72.
Liu, L., Lao, S., Fieguth, P. W., Guo, Y., Wang, X., & Pietikäinen, M. (2016). Median robust extended local binary pattern for texture classification IEEE Transactions on Image Processing, 25, 1368-1381.
Liu, L., Wang, L., Zhao, L., & Fieguth, P. (2016). Random projections and Single BoW for fast and Robust texture segmentation Information Sciences, 370, 428-445.
Liu, L., Long, Y., Fieguth, P. W., Lao, S., & Zhao, G. (2014). BRINT: binary rotation invariant and noise tolerant texture classification IEEE Transactions on Image Processing, 23, 3071-3084.
Liu, L., Chen, J., Fieguth, P., Zhao, G., Chellappa, R., & Pietikäinen, M. (2018). A survey of recent advances in texture representation ArXiv Preprint ArXiv:1801.10324, 3.
Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020). Deep learning for generic object detection: A survey International Journal of Computer Vision, 128, 261-318.
Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., … Ghavamzadeh, M. (2020). A review of uncertainty quantification in deep learning: Techniques, applications and challenges ArXiv Preprint ArXiv:2011.06225.
Liu, L., Chen, J., Fieguth, P., Zhao, G., Chellappa, R., & Pietikäinen, M. (2019). From BoW to CNN: Two decades of texture representation for texture classification International Journal of Computer Vision, 127, 74-109.
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