We present MultiNet, a multi-branch pipeline that directly predicts the gaze vector or the point of gaze from multiple modalities derived from a single camera capture. In particular, we address the under-explored use of metric face-to-camera distance estimated from a conventional RGB web camera for appearance-based gaz...
Nikita Ligostaev, Nicola Conci, Roberto Passerone et al.· Italian National Conference...· 0 citations
A meta-learning framework that combines Model-Agnostic Meta-Learning (MAML) with a dual-memory, transformer-based architecture and a dual memory backbone is proposed, providing a useful proof of concept where MAML has been shown to learn generalized anomaly and non-anomaly representations with a transformer based archi...
Shradha Mahadev Naik, Suja Palaniswamy, Nicola Conci· Journal of King Saud Univers...· 0 citations
A novel framework for motion blending across heterogeneous skeletons is presented, which combines a semantic encoder, which extracts per-frame latent representations of the motion state, with a diffusion-based decoder, which reconstructs character-specific motion conditioned on this latent code.
BlendAnything, a Blender plugin that brings cross-topology motion blending into a familiar animation workflow with a skeleton-agnostic diffusion autoencoding backend that maps motions from different skeletal structures into a learned shared per-frame latent space.
