most citedOpen-Vocabulary Remote Sensing Image Semantic Segmentation

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Dynamic Training-Free Fusion of Subject and Style LoRAs

Qinglong Cao, Yuntian Chen, Chao Ma +1

Recent studies have explored the combination of multiple LoRAs to simultaneously generate user-specified subjects and styles. However, most existing approaches fuse LoRA weights us…

cs.CL2026

Learning Domain Knowledge in Multimodal Large Language Models through Reinforcement Fine-Tuning

Qinglong Cao, Yuntian Chen, Chao Ma +1

Multimodal large language models (MLLMs) have shown remarkable capabilities in multimodal perception and understanding tasks. However, their effectiveness in specialized domains, s…

physics.flu-dyn2024★ 1 cited

Discovering Boundary Equations for Wave Breaking using Machine Learning

Tianning Tang, Yuntian Chen, Rui Cao +7

Many supervised machine learning methods have revolutionised the empirical modelling of complex systems. These empirical models, however, are usually "black boxes" and provide only…

cs.CV2024★ 1 cited

Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame

Qinglong Cao, Xirui Li, Ding Wang +3

Video diffusion models have achieved impressive results in natural scene generation, yet they struggle to generalize to scientific phenomena such as fluid simulations and meteorolo…

cs.CV2024★ 1 cited

Open-Vocabulary Remote Sensing Image Semantic Segmentation

Qinglong Cao, Yuntian Chen, Chao Ma +1

Open-vocabulary image semantic segmentation (OVS) seeks to segment images into semantic regions across an open set of categories. Existing OVS methods commonly depend on foundation…