Search Results for author: Xunlai Chen

Found 5 papers, 3 papers with code

TinyPredNet: A Lightweight Framework for Satellite Image Sequence Prediction

1 code implementation 2024 2024 Kuai Dai, Xutao Li, Huiwei Lin, Yin Jiang, Xunlai Chen, Yunming Ye, Di Xian

In this article, we propose a lightweight prediction framework TinyPredNet for satellite image sequence prediction, in which a spatial encoder and decoder model the intra-frame appearance features and a temporal translator captures inter-frame motion patterns.

DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting

1 code implementation11 Dec 2023 Demin Yu, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo, Kuai Dai, Rui Wang, Xunlai Chen

A unified and flexible framework that can equip any type of spatio-temporal models is proposed based on residual diffusion, which effectively tackles the shortcomings of previous methods.

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression

no code implementations27 Apr 2023 Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen

TempEE avoids using auto-regression and instead employs a one-step forward strategy to prevent cumulative error spreading during the extrapolation process.

regression

MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction

1 code implementation9 Dec 2022 Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui

The mainstream of the existing approaches for video prediction builds up their models based on a Single-In-Single-Out (SISO) architecture, which takes the current frame as input to predict the next frame in a recursive manner.

Video Prediction

From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting

no code implementations21 Jul 2021 Mengcheng Lan, Shuliang Ning, Yanran Li, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui

Despite video forecasting has been a widely explored topic in recent years, the mainstream of the existing work still limits their models with a single prediction space but completely neglects the way to leverage their model with multi-prediction spaces.

Video Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.