Title
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines Chen Tang Xinzhu Ma Encheng Su Xiufeng Song Xiaohong Liu Wei-Hong Li Lei Bai Wanli Ouyang Xiangyu Yue 3DGS AI4TS 72 0 0 26 Mar 2025
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines Zidong Wang Zeyu Lu Di Huang Tong He Xihui Liu Wanli Ouyang Lei Bai 41 5 0 11 Jul 2024
Lane Segmentation Refinement with Diffusion Models Antonio Ruiz Andrew Melnik Dong Wang Helge J. Ritter DiffM 71 3 0 01 May 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems Inaam Ashraf Janine Strotherm L. Hermes Barbara Hammer AI4CE 22 5 0 27 Mar 2024
Academic competitions H. J. Escalante Aleksandra Kruchinina AI4CE 24 0 0 01 Dec 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors M. Neun Christian Eichenberger Henry Martin M. Spanring Rahul Siripurapu ... Kevin Malm Fei Tang Michael K Kopp David P. Kreil Sepp Hochreiter 16 7 0 14 Mar 2023
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation Yichao Lu 22 1 0 21 Feb 2023
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities M. Neun Christian Eichenberger Yanan Xin Cheng Fu Nina Wiedemann Henry Martin M. Tomko Lukas Ambühl L. Hermes Michael K Kopp OT 24 4 0 17 Feb 2023
Hierarchical Graph Structures for Congestion and ETA Prediction Florian Grötschla Joël Mathys 13 4 0 21 Nov 2022
Multi-task Learning for Sparse Traffic Forecasting Jiezhang Li Junjun Li Yue-jiao Gong 11 2 0 18 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems Inaam Ashraf L. Hermes André Artelt Barbara Hammer GNN 19 7 0 17 Nov 2022
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge Martin Lumiste Andrei-Șerban Ilie 13 3 0 31 Oct 2022
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting Leyan Deng Chenwang Wu Defu Lian Mintao Zhou 19 4 0 30 Oct 2022
A Graph-based U-Net Model for Predicting Traffic in unseen Cities L. Hermes Barbara Hammer Andrew Melnik Riza Velioglu Markus Vieth M. Schilling GNN AI4TS AI4CE 14 6 0 11 Feb 2022
Deep Generative Models for Vehicle Speed Trajectories F. Behnia D. Karbowski Vadim O. Sokolov 33 1 0 14 Dec 2021
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 219 273 0 24 Mar 2020