Keshigeyan Chandrasegaran

According to our database, Keshigeyan Chandrasegaran authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

CoRR, 2023

Label-Only Model Inversion Attacks via Knowledge Transfer.

Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Re-Thinking Model Inversion Attacks Against Deep Neural Networks.

Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Few-shot Image Generation via Adaptation-Aware Kernel Modulation.

Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?

Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung

Proceedings of the International Conference on Machine Learning, 2022

Discovering Transferable Forensic Features for CNN-Generated Images Detection.

Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection.

Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021