Search Results for author: Xin Man

Found 4 papers, 1 papers with code

ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes

no code implementations4 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.

Image Restoration Image Super-Resolution

W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting

2 code implementations18 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.

Precipitation Forecasting Weather Forecasting

Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise

no code implementations17 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.

The best way to select features?

no code implementations26 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.

BIG-bench Machine Learning feature selection

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