no code implementations • 14 Mar 2024 • Yupeng Li, Haorui He, Jin Bai, Dacheng Wen
In addition, various existing Chinese fake news detection methods are thoroughly evaluated on our proposed dataset in cross-source, multi-source, and unseen source ways.
no code implementations • 13 Nov 2023 • Hong Sun, Yuanying Qiu, Jing Li, Jin Bai, Ming Peng
Machine learning as a data-driven solution has been widely applied in the field of fatigue lifetime prediction.
no code implementations • 20 Apr 2023 • Jin Bai, Tong Qiu
Although procurement fraud is always a critical problem in almost every free market, audit departments still have a strong reliance on reporting from informed sources when detecting them.
no code implementations • 8 Dec 2019 • Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan Yuille, Gregory D. Hager
There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large.
no code implementations • ECCV 2018 • Chi Li, Jin Bai, Gregory D. Hager
To learn discriminative pose features, we integrate three new capabilities into a deep Convolutional Neural Network (CNN): an inference scheme that combines both classification and pose regression based on a uniform tessellation of the Special Euclidean group in three dimensions (SE(3)), the fusion of class priors into the training process via a tiled class map, and an additional regularization using deep supervision with an object mask.