no code implementations • 4 Jun 2023 • Minghao Fu, Xin Man, Yihan Xu, Jie Shao
While scene text image super-resolution (STISR) has yielded remarkable improvements in accurately recognizing scene text, prior methodologies have placed excessive emphasis on optimizing performance, rather than paying due attention to efficiency - a crucial factor in ensuring deployment of the STISR-STR pipeline.
2 code implementations • 18 Apr 2023 • Xin Man, Chenghong Zhang, Jin Feng, Changyu Li, Jie Shao
On the temporal scale, we fine-tune the pre-trained W-MAE to predict the future states of meteorological variables, thereby modeling the temporal dependencies present in weather data.
no code implementations • 17 Jun 2020 • Yan Yan, Xin Man, Tianbao Yang
In this paper, we propose robust stochastic algorithms for solving convex compositional problems of the form $f(\E_\xi g(\cdot; \xi)) + r(\cdot)$ by establishing {\bf sub-Gaussian confidence bounds} under weak assumptions about the tails of noise distribution, i. e., {\bf heavy-tailed noise} with bounded second-order moments.
no code implementations • 26 May 2020 • Xin Man, Ernest Chan
Stability of selected features with respect to such randomness is essential to the human interpretability of a machine learning algorithm.