Cheung, Ngai-Man

35 publications

TMLR 2025 A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh, Guimeng Liu, Touba Malekzadeh, Christopher T.H Teo, Keshigeyan Chandrasegaran, Ngai-Man Cheung

TMLR 2025 Random Erasing vs. Model Inversion: A Promising Defense or a False Hope? Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ira Assent, Alex Kot, Ngai-Man Cheung

NeurIPS 2024 FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation Christopher T. H. Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-Man Cheung

CVPR 2024 Model Inversion Robustness: Can Transfer Learning Help? Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung

ECCV 2024 On the Vulnerability of Skip Connections to Model Inversion Attacks Jun Hao Koh, Sy-Tuyen Ho, Ngoc-Bao Nguyen, Ngai-Man Cheung

CVPR 2024 Referring Expression Counting Siyang Dai, Jun Liu, Ngai-Man Cheung

NeurIPS 2024 Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani, Ngai-Man Cheung

CVPR 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung

AAAI 2023 Fair Generative Models via Transfer Learning Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung

NeurIPS 2023 Label-Only Model Inversion Attacks via Knowledge Transfer Bao-Ngoc Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

NeurIPS 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin

NeurIPS 2023 On Measuring Fairness in Generative Models Christopher Teo, Milad Abdollahzadeh, Ngai-Man Cheung

CVPR 2023 Re-Thinking Model Inversion Attacks Against Deep Neural Networks Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

CVPR 2022 A Closer Look at Few-Shot Image Generation Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai-Man Cheung

ECCV 2022 Discovering Transferable Forensic Features for CNN-Generated Images Detection Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung

NeurIPS 2022 Few-Shot Image Generation via Adaptation-Aware Kernel Modulation Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

AAAI 2022 Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning Thilini Cooray, Ngai-Man Cheung

ICML 2022 Revisiting Label Smoothing and Knowledge Distillation Compatibility: What Was Missing? Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung

CVPR 2021 A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung

WACV 2021 InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung

NeurIPS 2021 Revisit Multimodal Meta-Learning Through the Lens of Multi-Task Learning Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung

IJCAI 2020 Direct Quantization for Training Highly Accurate Low Bit-Width Deep Neural Networks Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

WACV 2019 Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid

ICLRW 2019 Few-Shot Regression via Learned Basis Functions Yi Loo, Swee Kiat Lim, Gemma Roig, Ngai-Man Cheung

AAAI 2019 Improving GAN with Neighbors Embedding and Gradient Matching Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung

NeurIPS 2019 Self-Supervised GAN: Analysis and Improvement with Multi-Class Minimax Game Ngoc-Trung Tran, Viet-Hung Tran, Bao-Ngoc Nguyen, Linxiao Yang, Ngai-Man Cheung

AAAI 2018 Adaptive Quantization for Deep Neural Network Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard

CVPRW 2018 DeepVQ: A Deep Network Architecture for Vector Quantization Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung

ECCV 2018 Dist-GAN: An Improved GAN Using Distance Constraints Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung

ICCV 2017 Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets Xin Sun, Ngai-Man Cheung, Hongxun Yao, Yiluan Guo

CVPR 2017 Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung

ECCV 2016 Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung

ECCV 2016 Learning to Hash with Binary Deep Neural Network Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung

CVPRW 2016 Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung

CVPR 2015 FAemb: A Function Approximation-Based Embedding Method for Image Retrieval Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung