Hui Kang — accepted AI-conference papers

2025

HSI: A Holistic Style Injector for Arbitrary Style Transfer

Shuhao Zhang, Hui Kang, Yang Liu, Fang Mei, Hongjuan Li

CVPR 2025poster

Attention-based arbitrary style transfer methods have gained significant attention recently due to their impressive ability to synthesize style details. However, the point-wise matching within the attention mechanism may overly focus on local patterns such that neglect the remarkable global features…

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2023

PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels

Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang +1

ICCV 2023poster

Convolutional Neural Networks (CNNs) are powerful in learning patterns of different vision tasks, but they are sensitive to label noise and may overfit to noisy labels during training. The early stopping strategy averts updating CNNs during the early training phase and is widely employed in the pres…

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