activity
20192026
most citedMxT: Mamba x Transformer for Image Inpainting

3 citations · 3 across the 16 of their papers we have counts for

collaborators

23 papers

cs.CV2026

Sparse Multi-Stage Expert-Agent Routing for Complex Clinical Reasoning

Sike Xiang, Shuang Chen, Qian sun +3

Complex clinical reasoning requires models to update diagnostic hypotheses as new evidence emerges and to coordinate different medical specialities under limited consultation resou…

cs.CV2026

HSTGFormer: Hyper Spatial-Temporal Graph Transformer for 3D Human Pose Estimation

Ruochen Li, Shuang Chen, Wenke E +2

Transformer-based methods have achieved strong performance in monocular 3D human pose estimation, but most existing approaches organise spatial and temporal reasoning as separate s…

cs.CL2026

Cross-Architecture LLM Ensembles, Feature-Based Reranking and Retrieval-Augmented Prompting for Legal Information Processing

Amal Saad Alshehri, Nelly Bencomo, Amir Atapour-Abarghouei

Legal information processing spans retrieval, entailment and judgment prediction problems, requiring text matching, reasoning and robust generalisation with limited supervision. We…

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

Leveraging Imperfect Medical Data: A Manifold-Consistent Spatio-Temporal Network for Sensor-based Human Activity Recognition

Jiangtao Fan, Anish Jindal, Amir Atapour-Abarghouei

Sensor-based Human Activity Recognition (HAR) has attracted increasing attention in medical and healthcare monitoring, particularly with the growth of Internet of Medical Things (I…

cs.CV2026

Mind2Drive: Predicting Driver Intentions from EEG in Real-world On-Road Driving

Ghadah Alosaimi, Hanadi Alhamdan, Wenke E +3

Predicting driver intention from neurophysiological signals offers a promising pathway for enhancing proactive safety in advanced driver assistance systems, yet remains challenging…