collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Closing the Estimation Gap: Training-Free Transductive Inference for Cross-Domain Few-Shot Action Recognition

Changyi Li, Zeyu Yang, Yu Xiao

Cross-domain few-shot action recognition (CD-FSAR) aims to recognise unseen action classes in a target domain from a handful of labelled videos. Despite advances in representation…

cs.CV2026

Training-Free Logical and Structural Anomaly Detection via Calibrated Fusion

Changyi Li, Miao Yu, Kai Dong +1

Industrial anomaly detection must handle two distinct defect families: structural anomalies, which manifest as local texture corruptions, and logical anomalies, which violate globa…

cs.CV2026

Adaptive Multi-Granularity Temporal Modeling for Weakly Supervised Video Anomaly Detection

Changyi Li, Yu Xiao

As the scale of video surveillance data outpaces manual annotation capacities, weakly supervised video anomaly detection (WSVAD) has emerged as a critical research frontier. Most e…

cs.CV2026

Pre-Decoding Acoustic Triage for Budgeted Vision-Language Captioning of Untrimmed Egocentric Video

Masoud Jalayer, Changyi Li, Yu Xiao

Automatically analyzing hours-long egocentric video is increasingly essential for progress monitoring, quality control, and safety in logistics, construction, and manufacturing. Ye…

cs.CV2026

UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection

Changyi Li, Chao Yang, Yu Xiao +1

Visual anomaly detection is a fundamental task in industrial automation. While existing approaches have achieved notable progress in identifying structural defects, the detection o…