Keshigeyan Chandrasegaran

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

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, ICML.

Discovering Transferable Forensic Features for CNN-generated Images Detection

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Ngoc-Trung Tran, 2022, ECCV.

Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, ArXiv.

Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, ArXiv.

Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, NeurIPS.

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

Ngai-Man Cheung, Ngoc-Trung Tran, Keshigeyan Chandrasegaran, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Re-thinking Model Inversion Attacks Against Deep Neural Networks

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, 2023, ArXiv.

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, 2023, ArXiv.

Re-Thinking Model Inversion Attacks Against Deep Neural Networks

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Discovering Transferable Forensic Features for CNN-generated Images Detection

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Ngoc-Trung Tran, 2022 .

AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation

Chao Du, Tianyu Pang, Ngai-Man Cheung, 2023, ArXiv.