6 citations · 8 across the 5 of their papers we have counts for
5 papers
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…
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…
Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion
Ke Cao, Xuanhua He, Tao Hu +3
Multi-modal image fusion integrates complementary information from different modalities to produce enhanced and informative images. Although State-Space Models, such as Mamba, are…
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
Xuanhua He, Quande Liu, Shengju Qian +5
Generating high-fidelity human video with specified identities has attracted significant attention in the content generation community. However, existing techniques struggle to str…
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…