Entwicklung einer Methode zur automatischen 2D/3D-Produktmodellwandlung. - Baoyuan Liu (Shaker, 1994)

Probabilistic Label Trees for Efficient Large Scale Image Classification. - Baoyuan Liu; Fereshteh Sadeghi; Marshall F. Tappen; Ohad Shamir; Ce Liu 001 (CVPR, 2013)

Action Recognition by Weakly-Supervised Discriminative Region Localization. - Hakan Boyraz; Syed Zain Masood; Baoyuan Liu; Marshall F. Tappen; Hassan Foroosh (BMVC, 2014)

Sparse Convolutional Neural Networks. - Baoyuan Liu; Min Wang; Hassan Foroosh; Marshall F. Tappen; Marianna Pensky (CVPR, 2015)

Factorized Convolutional Neural Networks. - Min Wang; Baoyuan Liu; Hassan Foroosh (ICCV Workshops, 2017)

Look-Up Table Unit Activation Function for Deep Convolutional Neural Networks. - Min Wang; Baoyuan Liu; Hassan Foroosh (WACV, 2018)

Wide Hidden Expansion Layer for Deep Convolutional Neural Networks. - Min Wang; Baoyuan Liu; Hassan Foroosh (WACV, 2020)

An Experimental Study on Field Spectral Measurements to Determine Appropriate Daily Time for Distinguishing Fractional Vegetation Cover. - Du Lyu; Baoyuan Liu; Xiaoping Zhang; Xihua Yang; Liang He; Jie He; Jinwei Guo; Jufeng Wang; Qi Cao (Remote. Sens., 2020)

Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows. - Jie He; Du Lyu; Liang He; Yujie Zhang; Xiaoming Xu; Haijie Yi; Qilong Tian; Baoyuan Liu; Xiaoping Zhang (Remote. Sens., 2023)

Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole. - Bing Yin; Yun Xie; Bing Liu; Baoyuan Liu (Remote. Sens., 2023)