Gender Obfuscation through Face Morphing. - Shunxin Wang; Una M. Kelly; Raymond N. J. Veldhuis (IWBF, 2021)

Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. - Ioana Mazilu; Shunxin Wang; Sven Dummer; Raymond N. J. Veldhuis; Christoph Brune; Nicola Strisciuglio (CAIP (2), 2023)

What do neural networks learn in image classification? A frequency shortcut perspective. - Shunxin Wang; Raymond N. J. Veldhuis; Christoph Brune; Nicola Strisciuglio (ICCV, 2023)

DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. - Shunxin Wang; Christoph Brune; Raymond N. J. Veldhuis; Nicola Strisciuglio (ICCV (Workshops), 2023)

The Robustness of Computer Vision Models against Common Corruptions: a Survey. - Shunxin Wang; Raymond N. J. Veldhuis; Nicola Strisciuglio (CoRR, 2023)

Fourier-Basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification. - Puru Vaish; Shunxin Wang; Nicola Strisciuglio (CVPR, 2024)

Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization. - Shunxin Wang; Raymond N. J. Veldhuis; Nicola Strisciuglio (CVPR, 2025)

Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. - Boqian Wu; Qiao Xiao; Shunxin Wang; Nicola Strisciuglio; Mykola Pechenizkiy; Maurice van Keulen; Decebal Constantin Mocanu; Elena Mocanu (ICLR, 2025)

Learning to Harmonize Cross-Vendor X-ray Images by Non-linear Image Dynamics Correction. - Yucheng Lu 002; Shunxin Wang; Dovile Juodelyte; Veronika Cheplygina (MIUA (2), 2025)