38 citations · 38 across the 7 of their papers we have counts for
6 papers · 1 filter
Video as Natural Augmentation: Towards Unified AI-Generated Image and Video Detection
Zhengcen Li, Chenyang Jiang, Liangxu Su +4
AI-generated content (AIGC) is rapidly improving, creating an urgent need for detectors that generalize across data sources, deployment pipelines, and visual modalities. A strongly…
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
Zhengcen Li, Chenyang Jiang, Hang Zhao +7
The rapid advancement of video generation models has enabled the creation of highly realistic synthetic media, raising significant societal concerns regarding the spread of misinfo…
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation
Chenyang Jiang, Hang Zhao, Xinyu Zhang +4
Dataset distillation compresses large-scale datasets into compact, highly informative synthetic data, significantly reducing storage and training costs. However, existing research…
Parameterizing Dataset Distillation via Gaussian Splatting
Chenyang Jiang, Zhengcen Li, Hang Zhao +3
Dataset distillation aims to compress training data while preserving training-aware knowledge, alleviating the reliance on large-scale datasets in modern model training. Dataset pa…
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph
Zhengcen Li, Xinle Chang, Yueran Li +1
Group Activity Recognition aims to understand collective activities from videos. Existing solutions primarily rely on the RGB modality, which encounters challenges such as backgrou…
Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition
Zhengcen Li, Yueran Li, Linlin Tang +2
Graph convolutional networks (GCNs) have been the predominant methods in skeleton-based human action recognition, including human-human interaction recognition. However, when deali…