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cs.CV2026
Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation
Xuanyu Liu, Zheng Fang, Hongyang He +2
Semi-supervised adaptation of vision foundation models (VFMs) commonly freezes the pretrained backbone and updates lightweight modules such as LoRA. However, pseudo-labels have mix…
cs.CV2026
Semi-Supervised Vision-Language-Action Model
Hongyang He, Jiuming Liu, Victor Sanchez
Vision-Language-Action (VLA) models enable robots to predict actions directly from visual observations and language instructions, but adapting them to new environments still depend…
cs.CV2026
TAPM-Net: Trajectory-Aware Perturbation Modeling for Infrared Small Target Detection
Hongyang Xie, Hongyang He, Victor Sanchez
Infrared small target detection (ISTD) remains a long-standing challenge due to weak signal contrast, limited spatial extent, and cluttered backgrounds. Despite performance improve…