6 papers
MoAKE: Toward Unified All-in-One Action Quality Assessment via Mixture of Action Knowledge Experts
Huangbiao Xu, Huanqi Wu, Xiao Ke +3
Action Quality Assessment (AQA) aims to objectively evaluate performance quality from action videos. Most existing methods follow a ``one-by-one'' paradigm, training a separate mod…
UniPCB: A Generation-Assisted Vision-Based Measurement Framework for PCB Defect Inspection
Huan Zhang, Lianghong Tan, Yichu Xu +5
Automated optical inspection (AOI) is a vision-based instrumentation process that detects and localizes physical defects on printed circuit boards (PCBs) from optically acquired im…
LIMSSR: LLM-Driven Sequence-to-Score Reasoning under Training-Time Incomplete Multimodal Observations
Huangbiao Xu, Huanqi Wu, Xiao Ke +1
Real-world multimodal learning is often hindered by missing modalities. While Incomplete Multimodal Learning (IML) has gained traction, existing methods typically rely on the unrea…
: Towards Semantic Steganography via Large Language Models
Huanqi Wu, Huangbiao Xu, Runfeng Xie +3
Despite remarkable progress in steganography, embedding semantically rich, sentence-level information into carriers remains a challenging problem. In this work, we present a novel…
MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment
Huangbiao Xu, Huanqi Wu, Xiao Ke +3
Multimodal Action Quality Assessment (AQA) has recently emerged as a promising paradigm. By leveraging complementary information across shared contextual cues, it enhances the disc…
MRC-DETR: An Adaptive Multi-Residual Coupled Transformer for Bare Board PCB Defect Detection
Jiangzhong Cao, Huanqi Wu, Xu Zhang +2
In modern electronic manufacturing, defect detection on Printed Circuit Boards (PCBs) plays a critical role in ensuring product yield and maintaining the reliability of downstream…