Search Results for author: Qingsong Xu

Found 10 papers, 7 papers with code

Large-scale flood modeling and forecasting with FloodCast

1 code implementation18 Mar 2024 Qingsong Xu, Yilei Shi, Jonathan Bamber, Chaojun Ouyang, Xiao Xiang Zhu

Large-scale hydrodynamic models generally rely on fixed-resolution spatial grids and model parameters as well as incurring a high computational cost.

Change Detection

Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery

1 code implementation29 Oct 2023 Zhen Qian, Min Chen, Zhuo Sun, Fan Zhang, Qingsong Xu, Jinzhao Guo, Zhiwei Xie, Zhixin Zhang

Understanding urban dynamics and promoting sustainable development requires comprehensive insights about buildings.

Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology

no code implementations8 Oct 2023 Qingsong Xu, Yilei Shi, Jonathan Bamber, Ye Tuo, Ralf Ludwig, Xiao Xiang Zhu

Specifically, we present a comprehensive review of the physics-aware ML methods, building a structured community (PaML) of existing methodologies that integrate prior physical knowledge or physics-based modeling into ML.

UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation

1 code implementation2 Aug 2023 Qingsong Xu, Yilei Shi, Jianhua Guo, Chaojun Ouyang, Xiao Xiang Zhu

Specifically, a transformer-driven image translation composed of a light-weight transformer and a domain-specific affinity weight is first proposed to mitigate domain shift between two images with real-time efficiency.

Change Detection Translation

Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streams

no code implementations7 Mar 2023 Bochen Xie, Yongjian Deng, Zhanpeng Shao, Hai Liu, Qingsong Xu, Youfu Li

To fit the sparse nature of events and sufficiently explore the relationship between them, we develop a novel attention-aware model named Event Voxel Set Transformer (EVSTr) for spatiotemporal representation learning on event streams.

Action Recognition Representation Learning

Universal Domain Adaptation for Remote Sensing Image Scene Classification

1 code implementation26 Jan 2023 Qingsong Xu, Yilei Shi, Xin Yuan, Xiao Xiang Zhu

Empirical results show that the proposed model is effective and practical for remote sensing image scene classification, regardless of whether the source data is available or not.

Classification Image Classification +3

Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images

no code implementations20 Aug 2020 Qingsong Xu, Xin Yuan, Chaojun Ouyang, Yue Zeng

First, a novel segmentation framework, called the heavy-weight spatial feature fusion pyramid network (FFPNet), is proposed to address the spatial problem of high-resolution remote sensing images.

Classification General Classification +2

DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides

1 code implementation28 Aug 2019 Qingsong Xu, Chaojun Ouyang, Tianhai Jiang, Xuanmei Fan, Duoxiang Cheng

Automatic recognition and segmentation methods now become the essential requirement in identifying co-seismic landslides, which are fundamental for disaster assessment and mitigation in large-scale earthquakes.

Scene Recognition Transfer Learning

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