2 citations · 3 across the 7 of their papers we have counts for
7 papers
Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks
Yunna Lv, Long Tang, Dengpan Ye +3
Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve the efficiency of facial matching. However, it also carries the danger of exposing priva…
Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection
Caiyun Xie, Dengpan Ye, Yunming Zhang +4
The security of AI-generated content (AIGC) detection is crucial for ensuring multimedia content credibility. To enhance detector security, research on adversarial attacks has beco…
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection
Jiacheng Deng, Jiahao Lu, Tianzhu Zhang
3D object detection is essential for understanding 3D scenes. Contemporary techniques often require extensive annotated training data, yet obtaining point-wise annotations for poin…
Unsupervised Template-assisted Point Cloud Shape Correspondence Network
Jiacheng Deng, Jiahao Lu, Tianzhu Zhang
Unsupervised point cloud shape correspondence aims to establish point-wise correspondences between source and target point clouds. Existing methods obtain correspondences directly…
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
Jiahao Lu, Jiacheng Deng, Tianzhu Zhang
3D instance segmentation (3DIS) is a crucial task, but point-level annotations are tedious in fully supervised settings. Thus, using bounding boxes (bboxes) as annotations has show…
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies
Rui Wang, Dengpan Ye, Long Tang +2
With the continuous improvements of deepfake methods, forgery messages have transitioned from single-modality to multi-modal fusion, posing new challenges for existing forgery dete…