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VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM.

, , , , , , and . IEEE Robotics Autom. Lett., 7 (3): 8217-8224 (2022)

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Graph Neural Processes for Spatio-Temporal Extrapolation., , , , , and . KDD, page 752-763. ACM, (2023)Learning to Generate Maps from Trajectories., , , , , , , , and . AAAI, page 890-897. AAAI Press, (2020)DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models., , , , , , and . SIGSPATIAL/GIS, page 60:1-60:12. ACM, (2023)Periodic residual learning for crowd flow forecasting., , and . SIGSPATIAL/GIS, page 13:1-13:10. ACM, (2022)When do contrastive learning signals help spatio-temporal graph forecasting?, , , , , and . SIGSPATIAL/GIS, page 5:1-5:12. ACM, (2022)Directed Graph Contrastive Learning., , , , , and . NeurIPS, page 19580-19593. (2021)Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning., , , , and . CoRR, (2023)Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook., , , , , , , , , and 5 other author(s). CoRR, (2023)VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM., , , , , , and . CoRR, (2022)Revisiting Convolutional Neural Networks for Urban Flow Analytics., , , , and . CoRR, (2020)