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Xucheng Luo

2 accepted papers

2023

Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint

ICASSP 2023accepted

Inferring the citywide urban traffic flows is critical for numerous smart city applications such as urban planning, traffic control, and transportation management. Urban traffic flow inference problem aims to generate fine-grained flow maps from the coarse-grained ones. It is still challenging due t…

Cited by 0SourceScholar
2022

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows

ICASSP 2022accepted

Fine-grained urban flow inference (FUFI) aims at enhancing the resolution of traffic flow, which plays an important role in intelligent traffic management. Existing FUFI methods are mainly based on techniques from image super-resolution (SR) models, which cannot fully capture the influence of extern…

Cited by 0SourceScholar