no code implementations • 11 Mar 2024 • Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie
Multi-modal test-time adaptation (MM-TTA) is proposed to adapt models to an unlabeled target domain by leveraging the complementary multi-modal inputs in an online manner.
no code implementations • 5 Jul 2023 • Xingyu Ji, Lei Cheng, Hangfang Zhao
The performance of our proposed method is compared with benchmark methods, including compressive sensing (CS), BCS, and Laplacian-prior BCS (L-BCS).
no code implementations • 21 Jan 2022 • Lei Cheng, Xingyu Ji, Hangfang Zhao, Jianlong Li, Wen Xu
In particular, a tensor-based basis function learning framework is proposed, which can include the classical basis functions (using EOFs and/or Fourier basis functions) as its special cases.