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Author

Hong-Yang He

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Preprint Oct 2026

MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting

Scene flow can capture low-level 3D motion displacements in dynamic scenarios. Early pairwise estimators relying on instantaneous two-frame motion lack long-term temporal correlation and also struggle with poor extrapolation ability in future prediction. Although some recent methods attempt to explore multi-frame scene...

Jiu-Ming Liu, Jia-Ning Li, Meng-Meng Liu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

ReCalMatch:Reliability-Calibrated Semantic Guidance for Semi-Supervised Fine-Grained Recognition

ReCalMatch is a reliability-calibrated semantic framework for semi-supervised fine-grained recognition that down-weights pseudo-labels that are visually confident but semantically inconsistent, and consistently improves strong SSL baselines.

Yun-Di Hong, Hong-Yang He, Zheng Fang et al. · 0 citations
Conference Open access Sep 2026

Understanding and Exploiting Phase Sensitivity for Attacking Large Vision–Language Models

This paper proposes a novel LVLM attack method, called BadPhase with further backdoor designs, to implant adversarial phase as triggers into any image inputs via data poisoning so as to control the LVLMs’ predictions and finds that LVLMs are sensitive to the phase-aware image structure.

Dai-Zong Liu, Junhao Dong, Xiang Fang et al. · 0 citations

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