| Aircraft Fuselage Defect Detection Using Deep Neural Networks T Malekzadeh, M Abdollahzadeh, H Nejati, NM Cheung 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017 | 57* | 2017 |
| Re-thinking Model Inversion Attacks Against Deep Neural Networks NB Nguyen*, K Chandrasegaran*, M Abdollahzadeh, NM Cheung CVPR 2023, IEEE/CVF Computer Vision and Pattern Recognition Conference, 2023 | 40 | 2023 |
| Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning M Abdollahzadeh, T Malekzadeh, NM Cheung NeurIPS 2021, Advances in Neural Information Processing Systems 35, 2021 | 38 | 2021 |
| Few-shot Image Generation via Adaptation-Aware Kernel Modulation Y Zhao*, K Chandrasegaran*, M Abdollahzadeh*, NM Cheung NeurIPS 2022, Advances in Neural Information Processing Systems 36, 2022 | 35 | 2022 |
| Fine-Grained Wound Tissue Analysis Using Deep Neural Network H Nejati, HA Ghazijahani, M Abdollahzadeh, T Malekzadeh, NM Cheung, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 32 | 2018 |
| Fair Generative Models via Transfer Learning CTH Teo*, M Abdollahzadeh*, NM Cheung AAAI 2023, Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023 | 23 | 2023 |
| A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot M Abdollahzadeh, T Malekzadeh, CTH Teo, K Chandrasegaran, G Liu, ... arXiv preprint arXiv:2307.14397, 2023 | 18 | 2023 |
| Exploring Incompatible Knowledge Transfer in Few-shot Image Generation Y Zhao, C Du, M Abdollahzadeh, T Pang, M Lin, S Yan, NM Cheung CVPR 2023, IEEE/CVF Computer Vision and Pattern Recognition Conference, 2023 | 18 | 2023 |
| On Measuring Fairness in Generative Models CTH Teo, M Abdollahzadeh, NM Cheung NeurIPS 2023, Advances in Neural Information Processing Systems 37, 2023 | 15 | 2023 |
| Multi-focus Image Fusion for Visual Sensor Networks M Abdollahzadeh, T Malekzadeh, H Seyedarabi 2016 24th Iranian Conference on Electrical Engineering (ICEE), 2016 | 15 | 2016 |
| Metal Artifact Suppression in Dental Cone Beam Computed Tomography Images Using Image Processing Techniques M Johari, M Abdollahzadeh, F Esmaeili, V Sakhamanesh Journal of medical signals and sensors 8 (1), 12, 2018 | 14 | 2018 |
| Deep Artifact-free Residual Network for Single-image Super-resolution H Nasrollahi, K Farajzadeh, V Hosseini, E Zarezadeh, M Abdollahzadeh Signal, Image and Video Processing 14 (2), 407-415, 2020 | 10 | 2020 |
| Quality aware HEVC video transmission over wireless visual sensor networks M Abdollahzadeh, HA Ghazijahani, H Seyedarabi 2016 24th Iranian Conference on Electrical Engineering (ICEE), 787-792, 2016 | 7 | 2016 |
| Label-Only Model Inversion Attacks via Knowledge Transfer NB Nguyen*, K Chandrasegaran*, M Abdollahzadeh, NM Cheung NeurIPS 2023, Advances in Neural Information Processing Systems 37, 2023 | 6 | 2023 |
| On Error and Bitrate Tradeoff in Visible Light Communication System to ensure HEVC Video Quality H Alizadeh Ghazijahani, M Abdollahzadeh, H Seyedarabi, J Musevi Niya International Journal of Information & Communication Technology Research 8 …, 2016 | 6 | 2016 |
| A novel fast search motion estimation algorithm in video coding SR Alvar, M Abdollahzadeh, H Seyedarabi 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), 934-937, 2014 | 6 | 2014 |
| Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints M Abdollahzadeh, H Seyedarabi, JM Niya, NM Cheung IEEE Access 6, 72479-72493, 2018 | 4 | 2018 |
| Adaptive CSK modulation guaranteeing HEVC video quality over visible light communication network HA Ghazijahani, M Abdollahzadeh, H Seyedarabi, MJM Niya 2016 8th International symposium on telecommunications (IST), 789-794, 2016 | 4 | 2016 |
| FairTL: A Transfer Learning Approach for Bias Mitigation in Deep Generative Models CTH Teo*, M Abdollahzadeh*, NM Cheung IEEE Journal of Selected Topics in Signal Processing, 2024 | 2 | 2024 |
Ngai-Man CheungAssociate Professor, Singapore University of Technology and DesignVerified email at sutd.edu.sg
