8 citations · 14 across the 6 of their papers we have counts for
6 papers
REE-TTT: Highly Adaptive Radar Echo Extrapolation Based on Test-Time Training
Xin Di, Xinglin Piao, Fei Wang +2
Precipitation nowcasting is critically important for meteorological forecasting. Deep learning-based Radar Echo Extrapolation (REE) has become a predominant nowcasting approach, ye…
Text-guided Zero-Shot Object Localization
Jingjing Wang, Xinglin Piao, Zongzhi Gao +3
Object localization is a hot issue in computer vision area, which aims to identify and determine the precise location of specific objects from image or video. Most existing object…
BjTT: A Large-scale Multimodal Dataset for Traffic Prediction
Chengyang Zhang, Yong Zhang, Qitan Shao +5
Traffic prediction is one of the most significant foundations in Intelligent Transportation Systems (ITS). Traditional traffic prediction methods rely only on historical traffic da…
ChatTraffic: Text-to-Traffic Generation via Diffusion Model
Chengyang Zhang, Yong Zhang, Qitan Shao +4
Traffic prediction is one of the most significant foundations in Intelligent Transportation Systems (ITS). Traditional traffic prediction methods rely only on historical traffic da…
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition
Xinglin Piao, Yongli Hu, Yanfeng Sun +2
In a sparse representation based recognition scheme, it is critical to learn a desired dictionary, aiming both good representational power and discriminative performance. In this p…
Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data
Xinglin Piao, Yongli Hu, Junbin Gao +3
A new submodule clustering method via sparse and low-rank representation for multi-way data is proposed in this paper. Instead of reshaping multi-way data into vectors, this method…