Ye Liu

14

Papers

9

Total Citations

Papers (14)

mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion

DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation

SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning

Federated Self-Explaining GNNs with Anti-shortcut Augmentations

Simultaneous Feature Learning and Hash Coding With Deep Neural Networks

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

UMT: Unified Multi-Modal Transformers for Joint Video Moment Retrieval and Highlight Detection

Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

Deep Hashing With Minimal-Distance-Separated Hash Centers

OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation

Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform

Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation

VisionMath: Vision-Form Mathematical Problem-Solving

AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection