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- Zhejiang UniversityCN156 papers
- Chinese Academy of SciencesCN141 papers
- University of Chinese Academy of SciencesCN122 papers
- National Astronomical ObservatoriesCN107 papers
- Nanjing UniversityCN69 papers
- Peking UniversityCN64 papers
- Tsinghua UniversityCN54 papers
- Shanghai Astronomical ObservatoryCN53 papers
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- Purple Mountain ObservatoryCN50 papers
- University of Science and Technology of ChinaCN49 papers
- Shanghai Jiao Tong UniversityCN41 papers
45 papers · 1 filter
LDFE: Laplacian Decoupled Feature Enhancement Block for Dual-Stream CNN-based RGB-IR Object Detection
Wenhao Dong, Xiaoyan Luo, Linlin Yang +4
The complementary information between RGB and IR images can significantly enhance object detection performance under extreme conditions. Existing methods prefer dual-stream CNN bac…
DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection
Hongyuan Qi, Feifei Shao, Ming Li +2
The rapid evolution of video generation technologies poses a significant challenge to media forensics, as conventional detection methods often fail to generalize beyond their train…
Innovative Tooth Segmentation Using Hierarchical Features and Bidirectional Sequence Modeling
Xinxin Zhao, Jian Jiang, Yan Tian +5
Tooth image segmentation is a cornerstone of dental digitization. However, traditional image encoders relying on fixed-resolution feature maps often lead to discontinuous segmentat…
RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images
Hanzhe Yu, Yun Ye, Jintao Rong +2
The rapid advancement of generative AI has raised concerns about the authenticity of digital images, as highly realistic fake images can now be generated at low cost, potentially i…
SS4D: Native 4D Generative Model via Structured Spacetime Latents
Zhibing Li, Mengchen Zhang, Tong Wu +3
We present SS4D, a native 4D generative model that synthesizes dynamic 3D objects directly from monocular video. Unlike prior approaches that construct 4D representations by optimi…
ARPGNet: Appearance- and Relation-aware Parallel Graph Attention Fusion Network for Facial Expression Recognition
Yan Li, Yong Zhao, Xiaohan Xia +1
The key to facial expression recognition is to learn discriminative spatial-temporal representations that embed facial expression dynamics. Previous studies predominantly rely on p…