Hau San Wong
12 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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Research topics
Computer Vision
(9)
Deep Learning
(9)
Machine Learning
(8)
Learning Types Β· Machine Learning
(6)
Models
(6)
Processing
(5)
Core Methods
(4)
Generation
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Artificial Intelligence
(2)
Analysis
(2)
Application Areas
(2)
Core AI
(2)
Healthcare & Medicine
(1)
Keywords
semi-supervised learning
(4)
generative adversarial network
(4)
face restoration
(3)
image synthesis
(3)
temporal consistency
(2)
latent space
(2)
face retouching
(2)
face synthesis
(2)
attention mechanism
(1)
pseudo labeling
(1)
disparity estimation
(1)
image-to-image translation
(1)
progressive learning
(1)
mutual information
(1)
temporal modeling
(1)
depth estimation
(1)
stereo vision
(1)
3d object detection
(1)
generative model
(1)
optical flow
(1)
Papers
Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration
CVPR 2025
Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
CVPR 2024
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation
IJCAI 2024
Text-conditional Attribute Alignment across Latent Spaces for 3D Controllable Face Image Synthesis
CVPR 2024
VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos
CVPR 2024
Blemish-Aware and Progressive Face Retouching With Limited Paired Data
CVPR 2023
Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis
CVPR 2023
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus
CVPR 2023
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation
CVPR 2023
SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis
CVPR 2022
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation
ICCV 2021
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations
IJCAI 2019