Marco Fumero

About Marco Fumero

Marco Fumero, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Sapienza Università di Roma, specializes in the field of Representation Learning, Geometry Processing, Geometric Deep Learning, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Latent Space Translation via Semantic Alignment

Leveraging sparse and shared feature activations for disentangled representation learning

ASIF: Coupled data turns unimodal models to multimodal without training

Neural style transfer in three-dimensional shapes

Generating styles for neural style transfer in three-dimensional shapes

Training machine learning models to perform neural style transfer in three-dimensional shapes

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication

Infusing invariances in neural representations

Marco Fumero Information

University

Position

Phd student

Citations(all)

252

Citations(since 2020)

251

Cited By

4

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Marco Fumero Skills & Research Interests

Representation Learning

Geometry Processing

Geometric Deep Learning

Computer Vision

Top articles of Marco Fumero

Latent Space Translation via Semantic Alignment

Advances in Neural Information Processing Systems

2024/2/13

Leveraging sparse and shared feature activations for disentangled representation learning

Advances in Neural Information Processing Systems

2024/2/13

ASIF: Coupled data turns unimodal models to multimodal without training

Advances in Neural Information Processing Systems

2024/2/13

Neural style transfer in three-dimensional shapes

2023/10/12

Generating styles for neural style transfer in three-dimensional shapes

2023/10/12

Training machine learning models to perform neural style transfer in three-dimensional shapes

2023/10/12

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication

arXiv preprint arXiv:2310.01211

2023/10/2

Infusing invariances in neural representations

2023/6/18

Bootstrapping Parallel Anchors for Relative Representations

arXiv preprint arXiv:2303.00721

2023/3/1

Neural Implicit Style-net: synthesizing shapes in a preferred style exploiting self supervision

2022/11/7

Marco Fumero
Marco Fumero

H-Index: 1

Emanuele Rodolà
Emanuele Rodolà

H-Index: 30

Certification of Gaussian Boson Sampling via graphs feature vectors and kernels

Quantum Science and Technology

2022/11/2

Relative representations enable zero-shot latent space communication

arXiv preprint arXiv:2209.15430

2022/9/30

Clip-forge: Towards zero-shot text-to-shape generation

2022

Unsupervised source separation via Bayesian inference in the latent domain

arXiv preprint arXiv:2110.05313

2021/10/11

Learning disentangled representations via product manifold projection

2021/7/1

Nonlinear spectral geometry processing via the tv transform

ACM Transactions on Graphics (TOG)

2020/11/26

Marco Fumero
Marco Fumero

H-Index: 1

Emanuele Rodolà
Emanuele Rodolà

H-Index: 30

A parametric analysis of discrete Hamiltonian functional maps

Computer Graphics Forum

2020/8

Emilian Postolache
Emilian Postolache

H-Index: 1

Marco Fumero
Marco Fumero

H-Index: 1

See List of Professors in Marco Fumero University(Sapienza Università di Roma)

Co-Authors

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