38 citations · 38 across the 7 of their papers we have counts for
7 papers
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…
Gradient of White Matter Functional Variability via fALFF Differential Identifiability
Xinle Chang, Yang Yang, Yueran Li +3
Functional variability in both gray matter (GM) and white matter (WM) is closely associated with human brain cognitive and developmental processes, and is commonly assessed using f…
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…