collaborators

5 papers

cs.CV2026

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization

Yan Lin, Ziheng Wang, Shuang Chen +2

Medical image classifiers are often trained within one source population, yet clinical deployment requires robustness to patients whose appearance, acquisition style, and disease p…

cs.CV2026

UIESNN: A Scale-Aware Spiking Network for Underwater Image Enhancement

Shuang Chen, Ruochen Li, Zihan Zhu +3

Underwater image enhancement (UIE) is a practically important yet underexplored application of spiking neural networks (SNNs), where the dominant degradations are large-scale and l…

cs.CV2026

Exploring the Potentials of Spiking Neural Networks for Image Deraining

Shuang Chen, Tomas Krajnik, Farshad Arvin +1

Biologically plausible and energy-efficient frameworks such as Spiking Neural Networks (SNNs) have not been sufficiently explored in low-level vision tasks. Taking image deraining…

cs.CV2025

BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion

Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei

As multimodal large language models (MLLMs) advance, their large-scale architectures pose challenges for deployment in resource-constrained environments. In the age of large models…

cs.CV2025

DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics

Shuang Chen, Ronald Thenius, Farshad Arvin +1

Continuous and reliable underwater monitoring is essential for assessing marine biodiversity, detecting ecological changes and supporting autonomous exploration in aquatic environm…