Emanuele Rodola'

Pubblicazioni

Titolo Pubblicato in Anno
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2021
Spectral Shape Recovery and Analysis Via Data-driven Connections INTERNATIONAL JOURNAL OF COMPUTER VISION 2021
Orthogonalized Fourier Polynomials for Signal Approximation and Transfer COMPUTER GRAPHICS FORUM 2021
Learning disentangled representations via product manifold projection Proceedings of the 38th International Conference on Machine Learning 2021
Universal Spectral Adversarial Attacks for Deformable Shapes Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Cluster-driven graph federated learning over multiple domains 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2021
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose 50th International Conference on Parallel Processing 2021
Shape Registration in the Time of Transformers Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021) 2021
2D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs IEEE TRANSACTIONS ON MULTIMEDIA 2020
FARM: Functional Automatic Registration Method for 3D Human Bodies COMPUTER GRAPHICS FORUM 2020
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning NATURE METHODS 2020
LIMP: Learning Latent Shape Representations with Metric Preservation Priors Lecture Notes in Computer Science 2020
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis COMPUTER GRAPHICS FORUM 2020
Nonlinear spectral geometry processing via the TV transform ACM TRANSACTIONS ON GRAPHICS 2020
Instant recovery of shape from spectrum via latent space connections 2020 International Conference on 3D Vision (3DV) 2020
Generating Adversarial Surfaces via Band-Limited Perturbations COMPUTER GRAPHICS FORUM 2020
A parametric analysis of discrete Hamiltonian functional maps COMPUTER GRAPHICS FORUM 2020
Towards precise completion of deformable shapes Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
Functional maps representation on product manifolds COMPUTER GRAPHICS FORUM 2019
ZoomOut: spectral upsampling for efficient shape correspondence ACM TRANSACTIONS ON GRAPHICS 2019

ERC

  • PE6_8
  • PE6_11

KET

  • Big data & computing

Interessi di ricerca

Geometric and graph deep learning, computer vision, geometry processing, applied artificial intelligence, machine learning

Keywords

deep learning
geometric deep learning
computer vision
Computer graphics
digital geometry processing
spectral geometry
graph learning
representation learning
Artificial Intelligence (AI)

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma