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Computer Science

D-Index
40
Citations
6866
World Ranking
9302
National Ranking
119

Overview

Ngai-Man Cheung is affiliated with the Singapore University of Technology and Design in Singapore. Their research spans primarily the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition, and Artificial Intelligence. They have also contributed to topics in Statistical and Nonlinear Physics, Cognitive Neuroscience, and General Social Sciences.

Their work covers several main topics, including:

  • Generative Adversarial Networks and Image Synthesis
  • Adversarial Robustness in Machine Learning
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques

Cheung has published frequently in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Neural Networks and Learning Systems

Recent significant publications include:

  • A Closer Look at Few-shot Image Generation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • On Evaluating Adversarial Robustness of Large Vision-Language Models, 2023, arXiv (Cornell University)
  • Unsupervised Deep Cross-modality Spectral Hashing, 2020, IEEE Transactions on Image Processing
  • Explanation-Guided Training for Cross-Domain Few-Shot Classification, 2020, arXiv (Cornell University)

Frequent collaborators in their work include Milad Abdollahzadeh, Keshigeyan Chandrasegaran, Alexander Binder, Yunqing Zhao, and Ngoc-Bao Nguyen. These collaborations have resulted in numerous publications over time, reflecting continued joint research efforts.

Best Publications

  • On Data Augmentation for GAN Training

    Ngoc-Trung Tran;Viet-Hung Tran;Ngoc-Bao Nguyen;Trung-Kien Nguyen

  • Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study

    Bach Xuan Tran;Bach Xuan Tran;Giang Thu Vu;Giang Hai Ha;Quan Hoang Vuong

  • Mobile Visual Search

    B Girod;V Chandrasekhar;D M Chen;Ngai-Man Cheung

  • Learning to Hash with Binary Deep Neural Network

    Thanh-Toan Do;Anh-Dzung Doan;Ngai-Man Cheung

  • The stanford mobile visual search data set

    Vijay R. Chandrasekhar;David M. Chen;Sam S. Tsai;Ngai-Man Cheung

  • Adaptive Quantization for Deep Neural Network

    Yiren Zhou;Seyed-Mohsen Moosavi-Dezfooli;Ngai-Man Cheung;Pascal Frossard

  • Interactive Streaming of Stored Multiview Video Using Redundant Frame Structures

    G Cheung;A Ortega;Ngai-Man Cheung

  • Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding

    Linxiao Yang;Ngai-Man Cheung;Jiaying Li;Jun Fang

  • Deepmole: Deep neural networks for skin mole lesion classification

    V. Pomponiu;H. Nejati;N.-M. Cheung

  • On classification of distorted images with deep convolutional neural networks

    Yiren Zhou;Sibo Song;Ngai-Man Cheung

  • DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

    Swee Kiat Lim;Yi Loo;Ngoc-Trung Tran;Ngai-Man Cheung

  • Video Coding on Multicore Graphics Processors

    Nagai-Man Cheung;Xiaopeng Fan;O.C. Au;Man-Cheung Kung

  • Image-based vehicle analysis using deep neural network: A systematic study

    Yiren Zhou;Hossein Nejati;Thanh-Toan Do;Ngai-Man Cheung

  • Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications

    Jiyan Wu;Chau Yuen;Ngai-Man Cheung;Junliang Chen

  • Attentive Weights Generation for Few Shot Learning via Information Maximization

    Yiluan Guo;Ngai-Man Cheung

  • SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences

    Huu M. Le;Thanh-Toan Do;Tuan Hoang;Ngai-Man Cheung

  • Dist-GAN: An Improved GAN using Distance Constraints

    Ngoc-Trung Tran;Tuan-Anh Bui;Ngai-Man Cheung

  • Mobile product recognition

    Sam S. Tsai;David Chen;Vijay Chandrasekhar;Gabriel Takacs

  • Efficient and Deep Person Re-identification Using Multi-level Similarity

    Yiluan Guo;Ngai-Man Cheung

  • Delay-Constrained High Definition Video Transmission in Heterogeneous Wireless Networks with Multi-Homed Terminals

    Jiyan Wu;Chau Yuen;Ngai-Man Cheung;Junliang Chen

  • Cloud gaming: a green solution to massive multiplayer online games

    Seong-Ping Chuah;Chau Yuen;Ngai-Man Cheung

Frequent Co-Authors

Antonio Ortega
Antonio Ortega University of Southern California
Oscar C. Au
Oscar C. Au Hong Kong University of Science and Technology
Gene Cheung
Gene Cheung York University
Bernd Girod
Bernd Girod Stanford University
Chau Yuen
Chau Yuen Nanyang Technological University
Vijay Chandrasekhar
Vijay Chandrasekhar Agency for Science, Technology and Research
Yuval Elovici
Yuval Elovici Ben-Gurion University of the Negev
Radek Grzeszczuk
Radek Grzeszczuk Microsoft (United States)
Hongzhi Yin
Hongzhi Yin University of Queensland
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology

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