activity
20182023
most citedDeep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

388 citations · 461 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2023★ 9 cited

Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning

Simone Foti, Alexander J. Rickart, Bongjin Koo +9

The use of deep learning to undertake shape analysis of the complexities of the human head holds great promise. However, there have traditionally been a number of barriers to accur…