838 citations · 850 across the 9 of their papers we have counts for
9 papers
Generative modeling of granular flow on inclined planes using conditional flow matching
Xuyang Li, Rui Li, Teng Man +1
Granular flows govern many natural and industrial processes, yet their interior kinematics and mechanics remain largely unobservable, as experiments access only boundaries or free…
CLIP-Guided Data Augmentation for Night-Time Image Dehazing
Xining Ge, Weijun Yuan, Gengjia Chang +2
Nighttime image dehazing faces a more complex degradation pattern than its daytime counterpart, as haze scattering couples with low illumination, non-uniform lighting, and strong l…
Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality
Danfeng Hong, Chenyu Li, Xuyang Li +2
Remote sensing (RS) techniques are increasingly crucial for deepening our understanding of the planet. As the volume and diversity of RS data continue to grow exponentially, there…
STARS: Shared-specific Translation and Alignment for missing-modality Remote Sensing Semantic Segmentation
Tong Wang, Xiaodong Zhang, Guanzhou Chen +7
Multimodal remote sensing technology significantly enhances the understanding of surface semantics by integrating heterogeneous data such as optical images, Synthetic Aperture Rada…
Any-Optical-Model: A Universal Foundation Model for Optical Remote Sensing
Xuyang Li, Chenyu Li, Danfeng Hong
Optical satellites, with their diverse band layouts and ground sampling distances, supply indispensable evidence for tasks ranging from ecosystem surveillance to emergency response…
FlexiMo: A Flexible Remote Sensing Foundation Model
Xuyang Li, Chenyu Li, Pedram Ghamisi +1
The rapid expansion of multi-source satellite imagery drives innovation in Earth observation, opening unprecedented opportunities for Remote Sensing Foundation Models to harness di…
SeaMo: A Season-Aware Multimodal Foundation Model for Remote Sensing
Xuyang Li, Chenyu Li, Gemine Vivone +1
Remote Sensing (RS) data encapsulates rich multi-dimensional information essential for Earth observation. Its vast volume, diverse sources, and temporal continuity make it particul…
SpectralGPT: Spectral Remote Sensing Foundation Model
Danfeng Hong, Bing Zhang, Xuyang Li +11
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner. Whil…
Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction
Yuhan Cao, Haoran Jiang, Zhenghong Yu +2
While Generative Adversarial Networks (GANs) have recently found applications in image editing, most previous GAN-based image editing methods require largescale datasets with seman…