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09/20/2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
With the acceleration of urbanization, traffic forecasting has become an...
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09/18/2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
In the era of information explosion, spatio-temporal data mining serves ...
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04/16/2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
Spatio-Temporal prediction plays a critical role in smart city construct...
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01/15/2023
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
In this work, we investigate a simple and must-known conditional generat...
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04/28/2022
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation
Current semi-supervised semantic segmentation methods mainly focus on de...
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06/11/2020
W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network
Segmentation of multiple anatomical structures is of great importance in...
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05/14/2019