1 citations · 1 across the 4 of their papers we have counts for
4 papers
Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection
Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3
Outlier detection in decentralized data environments is a challenging task for many machine learning implementations, particularly in settings where data cannot be shared. Recently…
Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection
Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3
Attention layers are the backbone of today's most powerful and impactful models. Models with multi-million and billion parameters rely on contextual knowledge provided by attention…
Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation
Stevo Racković, Cláudia Soares, Dušan Jakovetić
In this paper, we present an advanced approach to solving the inverse rig problem in blendshape animation, using high-quality corrective blendshapes. Our algorithm introduces novel…
A Majorization-Minimization Based Method for Nonconvex Inverse Rig Problems in Facial Animation: Algorithm Derivation
Stevo Racković, Cláudia Soares, Dušan Jakovetić +1
Automated methods for facial animation are a necessary tool in the modern industry since the standard blendshape head models consist of hundreds of controllers and a manual approac…