Weihong Deng

30

Papers

29

Total Citations

Papers (30)

Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery

Multi-Manifold Deep Metric Learning for Image Set Classification

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild

Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation

Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval

Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data

Unsupervised Face Normalization With Extreme Pose and Expression in the Wild

Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition

PropagationNet: Propagate Points to Curve to Learn Structure Information

Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning

Representative Forgery Mining for Fake Face Detection

Augmented Geometric Distillation for Data-Free Incremental Person ReID

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module

Mixed High-Order Attention Network for Person Re-Identification

Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network

Adversarial Learning With Margin-Based Triplet Embedding Regularization

Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition

Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition

Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation

DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation

Exploring Disentangled Content Information for Face Forgery Detection

Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

Open-Set Facial Expression Recognition

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model

Virtual Class Enhanced Discriminative Embedding Learning

Relative Uncertainty Learning for Facial Expression Recognition

Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition