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Xueting Liu

8 accepted papers

2026

HKAFER: Achieve Visual Parameter-Efficient Fine-Tuning via Heterogeneous Kronecker Adaptation for Facial Expression Recognition

AAAI 2026technical

Facial Expression Recognition (FER) seeks to classify affective states from facial images, which remains a challenging problem due to variations in real-world conditions. FER task becomes particularly complex when handling unconstrained environments characterized by partial occlusions, different hea

Cited by 0SourcePDFScholar
2026

LaDy: Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal Modulation

CVPR 2026

Skeleton-based Temporal Action Segmentation (STAS) aims to densely parse untrimmed skeletal sequences into frame-level action categories. However, existing methods, while proficient at capturing spatio-temporal kinematics, neglect the underlying physical dynamics that govern human motion. This overs

Cited by 0SourcecodeScholar
2026

Spectral Scalpel: Amplifying Adjacent Action Discrepancy via Frequency-Selective Filtering for Skeleton-Based Action Segmentation

CVPR 2026

Skeleton-based Temporal Action Segmentation (STAS) seeks to densely segment and classify diverse actions within long, untrimmed skeletal motion sequences. However, existing STAS methodologies face challenges of limited inter-class discriminability and blurred segmentation boundaries, primarily due t

Cited by 0SourcecodeScholar
2025

WFDA: Wavelet-Based Frequency Decomposition and Aggregation for Underwater Object Detection

IROS 2025

Underwater Object Detection (UOD) techniques are critical for Autonomous Underwater Vehicle (AUV), which must operate in harsh underwater environments characterized by low visibility while satisfying the lightweight and real-time constraints required for vehicle-mounted systems. Current methods typi

Cited by 0SourcecodeScholar