Dual memory units with uncertainty regulation for weakly supervised video anomaly detection

Hang Zhou, Junqing Yu, Wei Yang

Project

• We propose an Uncertainty Regulated Dual Memory Units (UR-DMU) model to learn both the representations of normal data and discriminative features of abnormal data.

Dynamic feature pruning and consolidation for occluded person re-identification

YuTeng Ye, Hang Zhou, Jiale Cai, Chenxing Gao, Youjia Zhang, Junle Wang, Qiang Hu, Junqing Yu, Wei Yang

Project

• We propose a Feature Pruning and Consolidation (FPC) framework to circumvent explicit human structure parse, which consists of a sparse encoder, a global and local feature ranking module, and a feature consolidation decoder.

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou, Guanwen Li, Youjia Zhang, Zikai Song, Chenxing Gao, Junqing Yu, Wei Yang

Project

• We propose to harness the capabilities of a Large Language Model (LLM) to decompose text descriptions into coherent directives adhering to stringent formats and progressively generate the target image.

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu, YuTeng Ye, Jiale Cai, Junle Wang, Wei Yang

• We present a label-free white-box attack approach for ViT-based models that exhibits strong transferability to various black-box models by accelerating the feature collapse.