News
- 03/24 : One paper accepted to CVPR'24!
- 11/23 : Top Reviewer, NeurIPS'23.
- 09/23 : One paper accepted to NeurIPS'23!
- 09/23 : After an incredible journey at SUTD, I've left to pursue my PhD at Stanford University!
- 07/23 : Preprint of our Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot is now available!
- 03/23 : One paper accepted to CVPR'23!
- 02/23 : Invited Talk at NVIDIA on Discovering Transferable Forensic Features [Slides]
- 10/22 : Top Reviewer, NeurIPS'22
- 09/22 : One paper accepted to NeurIPS'22.
- 07/22 : One paper accepted to ECCV'22 as Oral!
- 07/22 : Invited Talk at NVIDIA on Revisiting Label Smoothing & Knowledge Distillation Compatibility [Slides]
- 05/22 : One paper accepted to ICML'22!
- 05/21 : Invited Talk at NVIDIA on Fourier Spectrum Discrepancies for CNN-generated Images Detection [Slides]
- 03/21 : One paper accepted to CVPR'21 as Oral!
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Publications
(*) = Equal contribution
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Label-Only Model Inversion Attacks via Knowledge Transfer
Ngoc-Bao Nguyen (*), Keshigeyan Chandrasegaran (*), Milad Abdollahzadeh, Ngai-Man Cheung
Advances in Neural Information Processing Systems 36 (NeurIPS), 2023
arXiv /
project /
code /
poster /
slides
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A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Milad Abdollahzadeh, Touba Malekzadeh (*), Christopher T. H. Teo (*), Keshigeyan Chandrasegaran (*), Guimeng Liu, Ngai-Man Cheung
Preprint, 2023
arXiv /
project /
code /
interactive sankey
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Re-thinking Model Inversion Attacks Against Deep Neural Networks
Ngoc-Bao Nguyen (*), Keshigeyan Chandrasegaran (*), Milad Abdollahzadeh, Ngai-Man Cheung
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
arXiv /
project /
code /
poster /
slides
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Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao (*), Keshigeyan Chandrasegaran (*), Milad Abdollahzadeh (*), Ngai-Man Cheung
Advances in Neural Information Processing Systems 35 (NeurIPS), 2022
arXiv /
project /
code /
poster /
slides
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Discovering Transferable Forensic Features for CNN-generated Images Detection
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
European Conference on Computer Vision (ECCV), 2022
Oral Presentation
arXiv /
project /
code /
poster /
slides
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Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran, Ngoc-Trung Tran (*), Yunqing Zhao (*), Ngai-Man Cheung
International Conference on Machine Learning (ICML), 2022
arXiv /
project /
code /
poster /
slides
/ talk
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A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Oral Presentation
arXiv /
project /
code /
slides
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