activity
20192026
most citedUnsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling

30 citations · 52 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policies

Jiayu Yang, Tao Yang, Weijun Li +4

Long-horizon robotic manipulation is highly sensitive to physically infeasible transitions, contact-induced disturbances, and the lack of effective self-correction during execution…

cs.RO2026

PAMAE: Phase-Aware-MoE Action Experts Towards Reliable Flow-Matching Vision-Language-Action Policies

Jiayu Yang, Tao Yang, Xiang Chang +3

Reliable action generation for multi-stage robotic manipulation remains challenging for Vision-Language-Action (VLA) models. While existing flow-matching VLA policies offer strong…

cs.CV2026

Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset

Songcheng Du, Yang Zou, Jiaxin Li +4

Pansharpening under thin cloudy conditions is a practically significant yet rarely addressed task, challenged by simultaneous spatial resolution degradation and cloud-induced spect…

eess.IV2024★ 30 cited

Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling

Songcheng Du, Yang Zou, Zixu Wang +4

Fusion-based hyperspectral image super-resolution aims to fuse low-resolution hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) to reconstruct high…

cs.CV2024

3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-Identification

Mingxiao Zheng, Yanpeng Qu, Changjing Shang +2

Unsupervised person re-identification (Re-ID) aims to learn a feature network with cross-camera retrieval capability in unlabelled datasets. Although the pseudo-label based methods…

cs.LG2021

Error Controlled Actor-Critic

Xingen Gao, Fei Chao, Changle Zhou +5

On error of value function inevitably causes an overestimation phenomenon and has a negative impact on the convergence of the algorithms. To mitigate the negative effects of the ap…