| Global evolution of research in artificial intelligence in health and medicine: a bibliometric study BX Tran, GT Vu, GH Ha, QH Vuong, MT Ho, TT Vuong, VP La, MT Ho, ... Journal of clinical medicine 8 (3), 360, 2019 | 577 | 2019 |
| On data augmentation for GAN training NT Tran, VH Tran, NB Nguyen, TK Nguyen, NM Cheung IEEE Transactions on Image Processing 30, 1882-1897, 2021 | 465 | 2021 |
| Mobile visual search B Girod, V Chandrasekhar, DM Chen, NM Cheung, R Grzeszczuk, ... IEEE signal processing magazine 28 (4), 61-76, 2011 | 426 | 2011 |
| On evaluating adversarial robustness of large vision-language models Y Zhao, T Pang*, C Du*, X Yang, C Li, NM Cheung*, M Lin NeurIPS-2023 (* Corresponding author), 2023 | 373 | 2023 |
| Adaptive Quantization for Deep Neural Network Y Zhou, SM Moosavi-Dezfooli, NM Cheung*, P Frossard AAAI-18. (* Corresponding author), 2017 | 293 | 2017 |
| Learning to hash with binary deep neural network TT Do, AD Doan, NM Cheung ECCV 2016. European Conference on Computer Vision, 2016 | 242 | 2016 |
| A recipe for watermarking diffusion models Y Zhao, T Pang, C Du, X Yang, NM Cheung, M Lin arXiv preprint arXiv:2303.10137, 2023 | 215 | 2023 |
| Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding L Yang, NM Cheung*, J Li, J Fang ICCV 2019. (* Corresponding author), 6440-6449, 2019 | 202 | 2019 |
| DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN SK Lim, Y Loo, NT Tran, NM Cheung*, G Roig, Y Elovici ICDM 2018. (* Corresponding author), 2018 | 193 | 2018 |
| The stanford mobile visual search data set VR Chandrasekhar, DM Chen, SS Tsai, NM Cheung, H Chen, G Takacs, ... Proceedings of the second annual ACM conference on Multimedia systems, 117-122, 2011 | 179 | 2011 |
| On Classification of Distorted Images with Deep Convolutional Neural Networks Y Zhou, S Song, NM Cheung ICASSP 2017. IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 176 | 2017 |
| Deepmole: Deep neural networks for skin mole lesion classification V Pomponiu, H Nejati, NM Cheung 2016 IEEE international conference on image processing (ICIP), 2623-2627, 2016 | 170 | 2016 |
| Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study Y Zhou, H Nejati, TT Do, NM Cheung*, L Cheah IEEE DSP 2016 (* Corresponding author), 2016 | 158* | 2016 |
| Method and system for processing multiview videos for view synthesis using skip and direct modes D Tian, NM Cheung, A Vetro US Patent 8,854,486, 2014 | 157 | 2014 |
| Interactive streaming of stored multiview video using redundant frame structures G Cheung, A Ortega, NM Cheung IEEE Transactions on Image Processing 20 (3), 744-761, 2010 | 148 | 2010 |
| Dist-GAN: An Improved GAN using Distance Constraints NT Tran, TA Bui, NM Cheung ECCV 2018. Proc. 15th European Conference on Computer Vision, 2018 | 141 | 2018 |
| Explanation-guided training for cross-domain few-shot classification J Sun, S Lapuschkin, W Samek, Y Zhao, NM Cheung, A Binder ICPR-2020. International Conference on Pattern Recognition, 2020 | 135 | 2020 |
| Accessible melanoma detection using smartphones and mobile image analysis TT Do, T Hoang, V Pomponiu, Y Zhou, Z Chen, NM Cheung*, D Koh, ... (* Corresponding author) IEEE Transactions on Multimedia 20 (10), 2849-2864, 2018 | 133* | 2018 |
| Verification methods and verification devices H Nejati, NM Cheung*, DCI Koh, RDS Medina US Patent 10204216 (* Corresponding author), 2019 | 131 | 2019 |
| Attentive Weights Generation for Few Shot Learning via Information Maximization Y Guo, NM Cheung CVPR-2020. Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2020 | 126 | 2020 |
Thanh-Toan DoSenior Lecturer, Monash UniversityVerified email at monash.edu
