Emanuele Rodolà

11

Papers

581

Total Citations

Papers (11)

Learning shape correspondence with anisotropic convolutional neural networks

NeurIPS 2016arXiv

Task Singular Vectors: Reducing Task Interference in Model Merging

Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces

3D Human Pose Estimation Using Möbius Graph Convolutional Networks

Towards Precise Completion of Deformable Shapes

LIMP: Learning Latent Shape Representations with Metric Preservation Priors

Leveraging sparse and shared feature activations for disentangled representation learning

Latent Space Translation via Semantic Alignment

Shape Registration in the Time of Transformers

Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training