most citedPan-Mamba: Effective pan-sharpening with State Space Model

3 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning

Xueheng Li, Yu Wang, Tao Hu +6

Pest-induced crop losses pose a major threat to global food security and sustainable agricultural development. While recent advances in Multimodal Large Language Models (MLLMs) hav…

cs.CV2026

PestVL-Net: Enabling Multimodal Pest Learning via Fine-grained Vision-Language Interaction

Xueheng Li, Tao Hu, Ke Cao +5

Effective pest recognition and management are crucial for sustainable agricultural development. However, collecting pest data in real scenarios is often challenging. Compared to ot…

cs.LG2026

When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning

Zheng Zhang, Tao Hu, Xueheng Li +4

Class-Incremental Learning (CIL) aims to sequentially learn new classes while mitigating catastrophic forgetting of previously learned knowledge. Conventional CIL approaches implic…

cs.CV2024

Training-Free Large Model Priors for Multiple-in-One Image Restoration

Xuanhua He, Lang Li, Yingying Wang +7

Image restoration aims to reconstruct the latent clear images from their degraded versions. Despite the notable achievement, existing methods predominantly focus on handling specif…

cs.CV2024★ 3 cited

Pan-Mamba: Effective pan-sharpening with State Space Model

Xuanhua He, Ke Cao, Keyu Yan +4

Pan-sharpening involves integrating information from low-resolution multi-spectral and high-resolution panchromatic images to generate high-resolution multi-spectral counterparts.…

cs.CV2024★ 1 cited

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

Xuanhua He, Tao Hu, Guoli Wang +9

RAW to sRGB mapping, which aims to convert RAW images from smartphones into RGB form equivalent to that of Digital Single-Lens Reflex (DSLR) cameras, has become an important area o…

cs.CV2024★ 3 cited

Frequency-Adaptive Pan-Sharpening with Mixture of Experts

Xuanhua He, Keyu Yan, Rui Li +3

Pan-sharpening involves reconstructing missing high-frequency information in multi-spectral images with low spatial resolution, using a higher-resolution panchromatic image as guid…