← Authors

Ngai-Man Cheung

26 papers · 2015–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (62) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5) πŸ’Ž Century Club (25) πŸ—ƒοΈ Keyword Collector (126) ❓ The Questioner (2)

Conferences

CVPR (12) AAAI (4) ECCV (3) ICCV (2) NIPS (2) ICML (1) IJCAI (1) WACV (1)

Top co-authors

Ngoc-Trung Tran (6) Keshigeyan Chandrasegaran (5) Milad Abdollahzadeh (4) Thanh-Toan Do (4) Yiluan Guo (3) Yunqing Zhao (3) Ngoc-Bao Nguyen (3) Sy-Tuyen Ho (3) Thilini Cooray (2) Tuan Hoang (2)

Research topics

Privacy (1)

Keywords

generative adversarial network (4) image generation (3) transfer learning (2) mode collapse (2) representation learning (2) model compression (2) graph embedding (2) knowledge transfer (2) few-shot learning (2) contrastive learning (2) mutual information maximization (2) few-shot image generation (2) knowledge distillation (2) image retrieval (2) semidefinite programming (1) manifold learning (1) zero-shot learning (1) domain generalization (1) catastrophic forgetting (1) graph matching (1)

Papers

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision AAAI 2026
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NIPS 2024
Model Inversion Robustness: Can Transfer Learning Help? CVPR 2024
Referring Expression Counting CVPR 2024
On the Vulnerability of Skip Connections to Model Inversion Attacks ECCV 2024
Re-Thinking Model Inversion Attacks Against Deep Neural Networks CVPR 2023
Fair Generative Models via Transfer Learning AAAI 2023
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022
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
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning WACV 2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection CVPR 2021
Attention-Based Context Aware Reasoning for Situation Recognition CVPR 2020
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020
Attentive Weights Generation for Few Shot Learning via Information Maximization CVPR 2020
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding ICCV 2019
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences CVPR 2019
Improving GAN with Neighbors Embedding and Gradient Matching AAAI 2019
Dist-GAN: An Improved GAN using Distance Constraints ECCV 2018
Efficient and Deep Person Re-Identification Using Multi-Level Similarity CVPR 2018
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search CVPR 2017
Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets ICCV 2017
FAemb: A Function Approximation-Based Embedding Method for Image Retrieval CVPR 2015