UrbanFM: Inferring Fine-Grained Urban Flows

6 February 2019

Papers citing "UrbanFM: Inferring Fine-Grained Urban Flows"

8 / 8 papers shown

Title
Efficient Traffic Prediction Through Spatio-Temporal Distillation Qianru Zhang Xinyi Gao Haixin Wang Siu-Ming Yiu Hongzhi Yin AI4TS 56 2 0 15 Jan 2025
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models Liyue Chen Jiangyi Fang Tengfei Liu Fangyuan Gao Leye Wang AI4TS 63 0 0 08 Jan 2025
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction Yuan Yuan Jingtao Ding Chonghua Han Depeng Jin Yong Li Yong Li AI4TS AI4CE 102 1 0 20 Nov 2024
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction Ziyu Sun Haoyang Su E. Wang Funing Yang Yongjian Yang Wenbin Liu AI4TS DiffM 41 0 0 05 Oct 2024
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy Qianxiong Xu Cheng Long Ziyue Li Sijie Ruan Rui Zhao Zhishuai Li 44 7 0 05 Nov 2023
PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction Chung Park Junui Hong Cheonbok Park Taesan Kim Minsung Choi Jaegul Choo 3DPC 19 2 0 02 Oct 2023
Fine-Grained Urban Flow Inference Kun Ouyang Yuxuan Liang Ye Liu Zekun Tong Sijie Ruan Yu Zheng David S. Rosenblum 42 48 0 05 Feb 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 237 5,187 0 16 Sep 2016