I work on supervised representation learning for Computer Vision. My main research is into integrating prior knowledge into Convolutional Neural Networks to benefit data efficiency. Topics of choice include implicit neural convolutional operators, in- and equivariant representations and data-efficiency of self-attention.
We provide a high bandwidth, alias-free convolutional kernel parameterization with learnable kernel size and constant parameter cost.
I am always willing to talk about collaboration or supervision. Please find my contact info at the top of the page.
TU Delft, building 28, room 5.W.600
Van Mourik Broekmanweg 6
2628 XE Delft