Ngai-Man Cheung
27 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (59) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
π
Keyword Champion
(2)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(134)
Top co-authors
Research topics
Machine Learning
(19)
Deep Learning
(17)
Computer Vision
(11)
Artificial Intelligence
(10)
Learning Types Β· Deep Learning
(9)
Learning Types Β· Machine Learning
(9)
Application Areas
(8)
Core Methods
(8)
Models
(7)
Analysis
(6)
Core AI
(6)
Learning Paradigms
(5)
Techniques
(5)
Architectures
(4)
Generation
(4)
Keywords
generative adversarial network
(4)
image generation
(3)
image retrieval
(2)
model inversion attack
(2)
model inversion
(2)
representation learning
(2)
graph embedding
(2)
knowledge transfer
(2)
generative model
(2)
few-shot learning
(2)
contrastive learning
(2)
mutual information maximization
(2)
mode collapse
(2)
few-shot image generation
(2)
model compression
(2)
transfer learning
(2)
knowledge distillation
(2)
manifold learning
(1)
domain generalization
(1)
action recognition
(1)
Papers
Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks
CVPR 2026
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
AAAI 2026
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
NeurIPS 2024
Model Inversion Robustness: Can Transfer Learning Help?
CVPR 2024
On the Vulnerability of Skip Connections to Model Inversion Attacks
ECCV 2024
Referring Expression Counting
CVPR 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
NeurIPS 2024
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation
CVPR 2023
Fair Generative Models via Transfer Learning
AAAI 2023
Re-Thinking Model Inversion Attacks Against Deep Neural Networks
CVPR 2023
A Closer Look at Few-Shot Image Generation
CVPR 2022
Discovering Transferable Forensic Features for CNN-Generated Images Detection
ECCV 2022
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
AAAI 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
ICML 2022
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection
CVPR 2021
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
WACV 2021
Attention-Based Context Aware Reasoning for Situation Recognition
CVPR 2020
Attentive Weights Generation for Few Shot Learning via Information Maximization
CVPR 2020
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks
IJCAI 2020
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding
ICCV 2019
Improving GAN with Neighbors Embedding and Gradient Matching
AAAI 2019
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
CVPR 2019
Dist-GAN: An Improved GAN using Distance Constraints
ECCV 2018
Efficient and Deep Person Re-Identification Using Multi-Level Similarity
CVPR 2018
Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets
ICCV 2017
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search
CVPR 2017
FAemb: A Function Approximation-Based Embedding Method for Image Retrieval
CVPR 2015