Facial Landmark Detection(FLD) is a crucial task in various applications and has achieved significant advancements in recent years. However, current FLD methods still struggle under challenging conditions, where facial structural variations, information loss, and noise interference severely compromise the integrity and...
Jun Wan, Jiwei Hu, Sheng-Kai Hu et al.· 0 citations
SkillIR is proposed, a skill-guided framework that represents restoration experience as degradation-centered action evidence rather than complete tool-use trajectories rather than complete tool-use trajectories and improves restoration quality and enables more reliable and effective tool use.
Jie Shao, Sheng-Kai Hu, Xu Zhang et al.· 0 citations
FreqFLD, a frequency-modulated framework towards All-in-One facial landmark detection, introduces a Frequency Modulation Module (FreqMoM) to explicitly induce the frequency prior by decoupling and modulating low- and high-frequency components, which is then injected into subsequent feature modeling to enable balanced m...
Shun Ren, Kai-Jie Jin, Sheng-Kai Hu et al.· Neural Networks· 1 citation
SpikeRestormer is proposed, an energy-efficient SNN for AiOIR that performs event reasoning over internally generated spike cues that delivers competitive performance against ANN-based methods and establishes new state-of-the-art results among SNN-based methods with significantly lower energy consumption.
Shengkai Hu, Jie Shao, Jiaqi Ma et al.· 1 citation
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