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From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
It has been observed that representations learned by distinct neural networks conceal structural similarities when the models are …
Irene Cannistraci
,
Luca Moschella
,
Marco Fumero
,
Valentino Maiorca
,
Emanuele Rodolà
PDF
Cite
URL
Vector Quantile Regression on Manifolds
frontiers4lcd
Quantile regression (QR) is a statistical tool for distribution-free estimation of conditional quantiles of a target variable given …
Marco Pegoraro
,
Sanketh Vedula
,
Aviv A. Rosenberg
,
Irene Tallini
,
Emanuele Rodolà
,
Alex M. Bronstein
Cite
arXiv
Geometric Epitope and Paratope Prediction
Preprint
Antibody-antigen interactions play a crucial role in identifying and neutralizing harmful foreign molecules. In this paper, we …
Marco Pegoraro
,
Clémentine Dominé
,
Emanuele Rodolà
,
Petar Veličković
,
Andreea Deac
Cite
bioRxiv
Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses
ACL 2023
Datasets used to train deep learning models in industrial settings often exhibit skewed distributions with some samples repeated a …
Donato Crisostomi
,
Andrea Caciolai
,
Alessandro Pedrani
,
Kay Rottmann
,
Alessandro Manzotti
,
Enrico Palumbo
,
Davide Bernardi
Cite
URL
AVEN-GR: Attribute Value Extraction and Normalization using product GRaphs
ACL 2023
Getting a good understanding of the user intent is vital for e-commerce applications to surface the right product to a given customer …
Donato Crisostomi
,
Thomas Ricatte
Cite
URL
Accelerating Transformer Inference for Translation via Parallel Decoding
ACL 2023
Autoregressive decoding limits the efficiency of transformers for Machine Translation (MT). The community proposed specific network …
Andrea Santilli
,
Silvio Severino
,
Emilian Postolache
,
Valentino Maiorca
,
Michele Mancusi
,
Riccardo Marin
,
Emanuele Rodolà
PDF
Cite
arXiv
GitHub
Multimodal Neural Databases
SIGIR 2023
The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them. …
Giovanni Trappolini
,
Andrea Santilli
,
Emanuele Rodolà
,
Alon Halevy
,
Fabrizio Silvestri
PDF
Cite
arXiv
Attention-likelihood relationship in transformers
We analyze how large language models (LLMs) represent out-of-context words, investigating their reliance on the given context to …
Valeria Ruscio
,
Valentino Maiorca
,
Fabrizio Silvestri
Cite
URL
PDF
Bootstrapping Parallel Anchors for Relative Representations
The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot …
Irene Cannistraci
,
Luca Moschella
,
Valentino Maiorca
,
Marco Fumero
,
Antonio Norelli
,
Emanuele Rodolà
PDF
Cite
URL
Spectral Maps for Learning on Subgraphs
Preprint
In graph learning, maps between graphs and their subgraphs frequently arise. For instance, when coarsening or rewiring operations are …
Marco Pegoraro
,
Riccardo Marin
,
Arianna Rampini
,
Simone Melzi
,
Luca Cosmo
,
Emanuele Rodolà
PDF
Cite
URL
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
In this work, we define a diffusion-based generative model capable of both music synthesis and source separation by learning the score …
Giorgio Mariani
,
Irene Tallini
,
Emilian Postolache
,
Michele Mancusi
,
Luca Cosmo
,
Emanuele Rodolà
Cite
DOI
arXiv
GitHub
Latent Autoregressive Source Separation
AAAI 2023
Autoregressive models have achieved impressive results over a wide range of domains in terms of generation quality and downstream task …
Emilian Postolache
,
Giorgio Mariani
,
Michele Mancusi
,
Andrea Santilli
,
Luca Cosmo
,
Emanuele Rodolà
Cite
arXiv
GitHub
Play música alegre: A Large-Scale Empirical Analysis of Cross-Lingual Phenomena in Voice Assistant Interactions
MMNLU workshop, EMNLP 2022
Cross-lingual phenomena are quite common in informal contexts like social media, where users are likely to mix their native language …
Donato Crisostomi
,
Alessandro Manzotti
,
Enrico Palumbo
,
Davide Bernardi
,
Sarah Campbell
,
Shubham Garg
Cite
URL
Metric Based Few-Shot Graph Classification
LoG 2022
Few-shot graph classification is a novel yet promising emerging research field that still lacks the soundness of well-established …
Donato Crisostomi
,
Simone Antonelli
,
Valentino Maiorca
,
Luca Moschella
,
Riccardo Marin
,
Emanuele Rodolà
Cite
URL
PDF
GitHub
Bloom: A 176b-parameter open-access multilingual language model
arXiv
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language …
BIG-Science contributors including
,
Andrea Santilli
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arXiv
Certification of Gaussian Boson Sampling via graphs feature vectors and kernels
Gaussian Boson Sampling (GBS) is a non-universal model for quantum computing inspired by the original formulation of the Boson Sampling …
Taira Giordani
,
Valerio Mannucci
,
Nicolò Spagnolo
,
Marco Fumero
,
Arianna Rampini
,
Emanuele Rodolà
,
Fabio Sciarrino
Cite
DOI
URL
3D Human Pose Estimation Using Möbius Graph Convolutional Networks
ECCV 2022
3D human pose estimation is fundamental to understanding human behavior. Recently, promising results have been achieved by graph …
Niloofar Azizi
,
Horst Possegger
,
Emanuele Rodolà
,
Horst Bischof
Cite
URL
PDF
Relative representations enable zero-shot latent space communication
ICLR 2023
Neural networks embed the geometric structure of a data manifold lying in a high-dimensional space into latent representations. …
Luca Moschella
,
Valentino Maiorca
,
Marco Fumero
,
Antonio Norelli
,
Francesco Locatello
,
Emanuele Rodolà
PDF
Cite
URL
GitHub
Slides
ICLR 2023 notable top 5%
Few-Shot Object Detection: A Survey
ACM Surveys
Deep learning approaches have recently raised the bar in many fields, from Natural Language Processing to Computer Vision, by …
Simone Antonelli
,
Danilo Avola
,
Luigi Cinque
,
Donato Crisostomi
,
Gian Luca Foresti
,
Fabio Galasso
,
Marco Raoul Marini
,
Alessio Mecca
,
Daniele Pannone
Cite
DOI
URL
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a …
Stephen Bach
,
Victor Sanh
,
Zheng Xin Yong
,
Albert Webson
,
Colin Raffel
,
BIG-Science contributors including
,
Andrea Santilli
PDF
Cite
DOI
ACL 2022 Demo
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
TMLR
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their …
442 authors including
,
Andrea Santilli
,
Antonio Norelli
,
Emanuele Rodolà
,
Giambattista Parascandolo
,
Giorgio Mariani
,
Luca Moschella
,
Simone Melzi
PDF
Cite
arXiv
CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation
Generating shapes using natural language can enable new ways of imagining and creating the things around us. While significant recent …
Aditya Sanghi
,
Hang Chu
,
Joseph G. Lambourne
,
Ye Wang
,
Chin-Yi Cheng
,
Marco Fumero
,
Kamal Rahimi Malekshan
Cite
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
IEEE TCSVT 32(5) 2022
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields. These automated …
Danilo Avola
,
Luigi Cinque
,
Alessio Fagioli
,
Sebastiano Filetti
,
Giorgio Grani
,
Emanuele Rodolà
Cite
URL
PDF
Learning Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study …
Luca Moschella
,
Simone Melzi
,
Luca Cosmo
,
Filippo Maggioli
,
Or Litany
,
Maks Ovsjanikov
,
Leonidas Guibas
,
Emanuele Rodolà
PDF
Cite
Computer Graphics Forum
Sparse Vicious Attacks on Graph Neural Networks
Graph Neural Networks (GNNs) have proven to be successful in several predictive modeling tasks for graph-structured data. Amongst those …
Giovanni Trappolini
,
Valentino Maiorca
,
Silvio Severino
,
Emanuele Rodolà
,
Fabrizio Silvestri
,
Gabriele Tolomei
Cite
DOI
URL
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
Riccardo Marin
,
Emanuele Rodolà
,
Maks Ovsjanikov
,
Ramana Subramanyam Sundararaman
Cite
PC-GAU: PCA Basis of Scattered Gaussians for Shape Matching via Functional Maps
Shape matching is a central problem in geometry processing applications, ranging from texture transfer to statistical shape analysis. …
Michele Colombo
,
Giacomo Boracchi
,
Simone Melzi
Cite
DOI
URL
GitHub
Olivaw: Mastering othello without human knowledge, nor a penny
IEEE ToG, 2022
AlphaGo Zero for Othello. With two ideas to speed up the learning, and tested in a live match against a former world champion.
Antonio Norelli
,
Alessandro Panconesi
Cite
PDF
arXiv
Newton’s Fractals on Surfaces via Bicomplex Algebra
SIGGRAPH 2022
An algorithm that exploits features of the bicomplex field to compute 4-dimensional Newton fractals for procedural texturing applications. The generated fractals are computed in a pixel shader only on the target surface to achieve real-time performance.
Filippo Maggioli
,
Daniele Baieri
,
Simone Melzi
,
Emanuele Rodolà
Cite
PDF
GitHub
Neural Implicit Style-net: synthesizing shapes in a preferred style exploiting self supervision
We introduce a novel approach to disentangle style from content in the 3D domain and perform unsupervised neural style transfer. Our …
Marco Fumero
,
Hooman Shayani
,
Aditya Sanghi
,
Emanuele Rodolà
Cite
MoMaS: Mold Manifold Simulation for real-time procedural texturing
PG 2022
A generalization of the algorithm for simulating the evolution of slime mold organisms to work on triangular meshes. The algorithm is implemented on GPU to achieve real-time performance.
Filippo Maggioli
,
Riccardo Marin
,
Simone Melzi
,
Emanuele Rodolà
Cite
PDF
Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach
CGF
Many natural shapes have most of their characterizing features concentrated over a few regions in space. For example, humans and …
Marco Pegoraro
,
Simone Melzi
,
Umberto Castellani
,
Riccardo Marin
,
Emanuele Rodolà
PDF
Cite
URL
KiloNeuS: A Versatile Neural Implicit Surface Representation for Real-Time Rendering
arXiv
A neural implicit representation which couples solving for a well-defined surface and real-time rendering capabilities.
Stefano Esposito
,
Daniele Baieri
,
Stefan Zellmann
,
André Hinkenjann
,
Emanuele Rodolà
Cite
URL
GIM3D: A 3D Dataset for Garment Segmentation
The 3D cloth segmentation task is particularly challenging due to the extreme variation of shapes, even among the same category of …
Pietro Musoni
,
Simone Melzi
,
Umberto Castellani
Cite
DOI
URL
GitHub
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
The marine ecosystem is changing at an alarming rate, exhibiting biodiversity loss and the migration of tropical species to temperate …
Michele Mancusi
,
Nicola Zonca
,
Emanuele Rodolà
,
Silvia Zuffi
Cite
Explanatory learning: Beyond empiricism in neural networks
preprint
When a ML system becomes an artificial scientist: mastering the game of Zendo with Transformers.
Antonio Norelli
,
Giorgio Mariani
,
Luca Moschella
,
Andrea Santilli
,
Giambattista Parascandolo
,
Simone Melzi
,
Emanuele Rodolà
Cite
PDF
GitHub
arXiv
Thread
Errare humanum est? a pilot study to evaluate the human-likeness of a AI othello playing agent
IVA, 2022
Olivaw is an AI Othello playing agent which autonomously learns how to improve its gameplay by playing against itself. Some top-notch …
Enrico Lauletta
,
Beatrice Biancardi
,
Antonio Norelli
,
Maurizio Mancini
,
Alessandro Panconesi
Cite
PDF
ACM digital library
Complex Functional Maps: A Conformal Link Between Tangent Bundles
Abstract In this paper, we introduce complex functional maps, which extend the functional map framework to conformal maps between …
Nicolas Donati
,
Etienne Corman
,
Simone Melzi
,
Maks Ovsjanikov
Cite
DOI
URL
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
CLIP proved that aligning visual and language spaces is key to solving many vision tasks without explicit training, but required to …
Antonio Norelli
,
Marco Fumero
,
Valentino Maiorca
,
Luca Moschella
,
Emanuele Rodolà
,
Francesco Locatello
Cite
PDF
arXiv
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide available collections of diabetic patient …
Marianna Maranghi
,
Aris Anagnostopoulos
,
Irene Cannistraci
,
Ioannis Chatzigiannakis
,
Federico Croce
,
Giulia Di Teodoro
,
Michele Gentile
,
Giorgio Grani
,
Maurizio Lenzerini
,
Stefano Leonardi
,
Andrea Mastropietro
,
Laura Palagi
,
Massimiliano Pappa
,
Riccardo Rosati
,
Riccardo Valentini
,
Paola Velardi
PDF
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URL
Adversarial Permutation Invariant Training for Universal Sound Separation
ICASSP 2023
Universal sound separation consists of separating mixes with arbitrary sounds of different types, and permutation invariant training …
Emilian Postolache
,
Jordi Pons
,
Santiago Pascual
,
Joan Serrà
Cite
arXiv
A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude
The last two decades have seen an incessant growth in the use of Unmanned Aerial Vehicles (UAVs) equipped with HD cameras for …
Danilo Avola
,
Irene Cannistraci
,
Marco Cascio
,
Luigi Cinque
,
Anxhelo Diko
,
Alessio Fagioli
,
Gian Luca Foresti
,
Romeo Lanzino
,
Maurizio Mancini
,
Alessio Mecca
,
Daniele Pannone
PDF
Cite
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature
The Average Mixing Kernel Signature is a novel spectral signature for points on non-rigid three-dimensional shapes. It is based on a …
Luca Cosmo
,
Giorgia Minello
,
Michael M. Bronstein
,
Emanuele Rodolà
,
Luca Rossi
,
Andrea Torsello
Cite
DOI
PDF
GitHub
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., …
Victor Sanh
,
Albert Webson
,
Colin Raffel
,
Stephen H. Bach
,
BIG-Science contributors including
,
Andrea Santilli
PDF
Cite
ICLR 2022 (Oral)
Spectral Shape Recovery and Analysis via Data-driven Connections
We introduce a novel learning-based method to recover shapes from their Laplacian spectra, based on establishing and exploring …
Riccardo Marin
,
Arianna Rampini
,
U. Castellani
,
Emanuele Rodolà
,
M. Ovsjanikov
,
Simone Melzi
Cite
Learning disentangled representations via product manifold projection
We propose a novel approach to disentangle the generative factors of variation underlying a given set of observations. Our method …
Marco Fumero
,
Luca Cosmo
,
Simone Melzi
,
Emanuele Rodolà
Cite
URL
Shape registration in the time of transformers
In this paper, we propose a transformer-based procedure for the efficient registration of non-rigid 3D point clouds. The proposed …
Giovanni Trappolini
,
Luca Cosmo
,
Luca Moschella
,
Riccardo Marin
,
Simone Melzi
,
Emanuele Rodolà
PDF
Cite
NeurIPS 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
CVPR 2021
Machine learning models are known to be vulnerable to adversarial attacks, namely perturbations of the data that lead to wrong …
Arianna Rampini
,
Franco Pestarini
,
Luca Cosmo
,
Simone Melzi
,
Emanuele Rodolà
Cite
URL
PDF
GitHub
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps
In this paper, we provide a theoretical foundation for pointwise map recovery from functional maps and highlight its relation to a …
Gautam Pai
,
Jing Ren
,
Simone Melzi
,
Peter Wonka
,
Maks Ovsjanikov
Cite
URL
GitHub
Cluster-driven Graph Federated Learning over Multiple Domains
CVPR L2ID 2021
Federated Learning (FL) deals with learning a central model (i.e. the server) in privacy-constrained scenarios, where data are stored …
Debora Caldarola
,
Massimiliano Mancini
,
Fabio Galasso
,
Marco Ciccone
,
Emanuele Rodolà
,
Barbara Caputo
Cite
URL
PDF
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis
Abstract In this paper, we propose a new construction for the Mexican hat wavelets on shapes with applications to partial shape …
Maxime Kirgo
,
Simone Melzi
,
Giuseppe Patanè
,
Emanuele Rodolà
,
Maks Ovsjanikov
Cite
DOI
URL
Unsupervised source separation via Bayesian inference in the latent domain
State of the art audio source separation models rely on supervised data-driven approaches, which can be expensive in terms of labeling …
Michele Mancusi
,
Emilian Postolache
,
Giorgio Mariani
,
Marco Fumero
,
Andrea Santilli
,
Luca Cosmo
,
Emanuele Rodolà
Cite
arXiv
GitHub
Reposing and retargeting unrigged characters with intrinsic-extrinsic transfer
In the 3D digital world, deformations and animations of shapes are fundamental topics for several applications. The entertainment …
Pietro Musoni
,
Riccardo Marin
,
Simone Melzi
,
Umberto Castellani
Cite
Orthogonalized Fourier polynomials for signal approximation and transfer
EUROGRAPHICS 2021
The usual Laplacian eigenbasis is extended to consider also polynomials of the eigenfunctions. The new extended basis has in increased descriptive power in signal reconstruction and transfer tasks, coming at a very reduced cost.
Filippo Maggioli
,
Simone Melzi
,
Maksim Ovsjanikov
,
Michael M Bronstein
,
Emanuele Rodolà
Cite
PDF
GitHub
Intra-operative Update of Boundary Conditions for Patient-Specific Surgical Simulation
Patient-specific Biomechanical Models (PBMs) can enhance computer assisted surgical procedures with critical information. Although …
Eleonora Tagliabue
,
Marco Piccinelli
,
Diego Dall'Alba
,
Juan Verde
,
Micha Pfeiffer
,
Riccardo Marin
,
Stefanie Speidel
,
Paolo Fiorini
,
Stéphane Cotin
Cite
Efficiently parallelizable strassen-based multiplication of a matrix by its transpose
ICPP 2021
An efficient algorithm for computing the multiplication of a matrix by its transpose, exploiting Strassen-like recursions. The algorithm is designed to be parallelized with multiple paradigms, from multi-threading to distributed computing.
Viviana Arrigoni
,
Filippo Maggioli
,
Annalisa Massini
,
Emanuele Rodolà
Cite
PDF
GitHub
Discrete Optimization for Shape Matching
Abstract We propose a novel discrete solver for optimizing functional map-based energies, including descriptor preservation and …
Jing Ren
,
Simone Melzi
,
Peter Wonka
,
Maks Ovsjanikov
Cite
DOI
URL
Nonlinear Spectral Geometry Processing via the TV Transform
We introduce a novel computational framework for digital geometry processing, based upon the derivation of a nonlinear operator …
Marco Fumero
,
Michael Möller
,
Emanuele Rodolà
Cite
DOI
URL
MapTree: Recovering Multiple Solutions in the Space of Maps
In this paper we propose an approach for computing multiple high-quality near-isometric dense correspondences between a pair of 3D …
Jing Ren
,
Simone Melzi
,
Maks Ovsjanikov
,
Peter Wonka
Cite
DOI
URL
Instant recovery of shape from spectrum via latent space connections
We introduce the first learning-based method for recovering shapes from Laplacian spectra. Given an auto-encoder, our model takes the …
Riccardo Marin
,
Arianna Rampini
,
U. Castellani
,
Emanuele Rodolà
,
M. Ovsjanikov
,
Simone Melzi
Cite
2D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs
IEEE ToM 22(10) 2020
Action recognition in video sequences is an interesting field for many computer vision applications, including behavior analysis, event …
Danilo Avola
,
Marco Cascio
,
Luigi Cinque
,
Gianluca Foresti
,
Cristiano Massaroni
,
Emanuele Rodolà
Cite
URL
Towards Precise Completion of Deformable Shapes
ECCV 2020
According to Aristotle, the whole is greater than the sum of its parts. This statement was adopted to explain human perception by the …
Oshri Halimi
,
Ido Imanuel
,
Or Litany
,
Giovanni Trappolini
,
Emanuele Rodolà
,
Leo Guibas
,
Ron Kimmel
Cite
URL
PDF
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations
EMNLP2020
Syntactic parsers have dominated natural language understanding for decades. Yet, their syntactic interpretations are losing centrality …
Fabio Massimo Zanzotto
,
Andrea Santilli
,
Leonardo Ranaldi
,
Dario Onorati
,
Pierfrancesco Tommasino
,
Francesca Fallucchi
PDF
Cite
DOI
EMNLP 2020
FARM: Functional automatic registration method for 3D human bodies
We introduce a new method for non-rigid registration of 3D human shapes. Our proposed pipeline builds upon a given parametric model of …
Riccardo Marin
,
Simone Melzi
,
Emanuele Rodolà
,
U. Castellani
Cite
The Average Mixing Kernel Signature
We introduce the Average Mixing Kernel Signature (AMKS), a novel signature for points on non-rigid three-dimensional shapes based on …
Luca Cosmo
,
Giorgia Minello
,
Michael M. Bronstein
,
Luca Rossi
,
Andrea Torsello
Cite
DOI
PDF
GitHub
LIMP: Learning Latent Shape Representations with Metric Preservation Priors
ECCV 2021
In this paper, we advocate the adoption of metric preservation as a powerful prior for learning latent representations of deformable 3D …
Luca Cosmo
,
Antonio Norelli
,
Oshri Halimi
,
Ron Kimmel
,
Emanuele Rodolà
Cite
arXiv
GitHub
Intrinsic/extrinsic embedding for functional remeshing of 3D shapes
3D acquisition pipeline delivers 3D digital models accurately representing real-world objects, improving the geometric accuracy and …
Simone Melzi
,
Riccardo Marin
,
Pietro Musoni
,
Filippo Bardon
,
Marco Tarini
,
Umberto Castellani
Cite
DOI
URL
Generating Adversarial Surfaces via Band-Limited Perturbations
Adversarial attacks have demonstrated remarkable efficacy in altering the output of a learning model by applying a minimal perturbation …
Giorgio Mariani
,
Luca Cosmo
,
Alex M. Bronstein
,
Emanuele Rodolà
Cite
DOI
URL
GitHub
Experimental device-independent certified randomness generation with an instrumental causal structure
The intrinsic random nature of quantum physics offers novel tools for the generation of random numbers, a central challenge for a …
Iris Agresti
,
Davide Poderini
,
Leonardo Guerini
,
Michele Mancusi
,
Gonzalo Carvacho
,
Leandro Aolita
,
Daniel Cavalcanti
,
Rafael Chaves
,
Fabio Sciarrino
Cite
DOI
Communications Physics
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
Nature Methods 2020
Predicting interactions between proteins and other biomolecules solely based on structure remains a challenge in biology. A high-level …
P. Gainza
,
F. Sverrisson
,
F. Monti
,
Emanuele Rodolà
,
Davide Boscaini
,
M. M. Bronstein
,
B. Correia
Cite
A parametric analysis of discrete Hamiltonian functional maps
Abstract In this paper we develop an in-depth theoretical investigation of the discrete Hamiltonian eigenbasis, which remains quite …
Emilian Postolache
,
Marco Fumero
,
Luca Cosmo
,
Emanuele Rodolà
Cite
DOI
URL
Learning interaction patterns from surface representations of protein structure
NeurIPS 2019 Workshops
Predicting interactions between proteins and other biomolecules purely based on structure is an unsolved problem in biology. The …
Pablo Gainza
,
Freyr Sverrisson
,
Federico Monti
,
Emanuele Rodolà
,
Michael M. Bronstein
,
Bruno Correia
Cite
URL
PDF
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
We present a simple and efficient method for refining maps or correspondences by iterative upsampling in the spectral domain that can …
Simone Melzi
,
Jing Ren
,
Emanuele Rodolà
,
Abhishek Sharma
,
Peter Wonka
,
Maks Ovsjanikov
Cite
DOI
URL
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models
We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on the joint adoption of three …
Riccardo Marin
,
Simone Melzi
,
Emanuele Rodolà
,
U. Castellani
Cite
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
3DV 2019
We consider the problem of localizing relevant subsets of non-rigid geometric shapes given only a partial 3D query as the input. Such …
Arianna Rampini
,
Irene Tallini
,
Maks Ovsjanikov
,
Alex M. Bronstein
,
Emanuele Rodolà
Cite
URL
PDF
GitHub
Unsupervised learning of dense shape correspondence
CVPR 2019
We introduce the first completely unsupervised correspondence learning approach for deformable 3D shapes. Key to our model is the …
Oshri Halimi
,
Or Litany
,
Emanuele Rodolà
,
Alex M. Bronstein
,
Ron Kimmel
Cite
URL
PDF
GitHub
GFrames: Gradient-based local reference frame for 3D shape matching
Simone Melzi
,
R. Spezialetti
,
F. Tombari
,
M. M. Bronstein
,
L. Di Stefano
,
Emanuele Rodolà
Cite
URL
GitHub
SHREC'19: Shape Correspondence with Isometric and Non-Isometric Deformations
R.M. Dyke
,
C. Stride
,
Y.-K. Lai
,
P.L. Rosin
,
M. Aubry
,
A. Boyarski
,
A.M. Bronstein
,
M.M. Bronstein
,
Daniel Cremers
,
M. Fisher
,
T. Groueix
,
D. Guo
,
V. Kim
,
R. Kimmel
,
Z. Lähner
,
K. Li
,
O. Litany
,
T. Remez
,
Emanuele Rodolà
,
B.C. Russell
,
Y. Sahillioglu
,
R. Slossberg
,
G. Tam
,
M. Vestner
,
Z. Wu
,
J. Yang
Cite
SHREC'19: Matching humans with different connectivity
Simone Melzi
,
Riccardo Marin
,
Emanuele Rodolà
,
U. Castellani
,
J. Ren
,
A. Poulenard
,
P. Wonka
,
M. Ovsjanikov
Cite
URL
GitHub
Functional maps representation on product manifolds
CGF 38(1) 2019
We consider the tasks of representing, analyzing and manipulating maps between shapes. We model maps as densities over the product …
Emanuele Rodolà
,
Zorah Lähner
,
Alex M. Bronstein
,
Michael M. Bronstein
,
Justin Solomon
Cite
URL
PDF
Isospectralization, or how to hear shape, style, and correspondence
CVPR 2019
The question whether one can recover the shape of a geometric object from its Laplacian spectrum (‘hear the shape of the …
Luca Cosmo
,
Mikhail Panine
,
Arianna Rampini
,
Maks Ovsjanikov
,
Michael M. Bronstein
,
Emanuele Rodolà
Cite
DOI
PDF
GitHub
A Kernel-based Approach for Irony and Sarcasm Detection in Italian
EVALITA2018
This paper describes the UNITOR system that participated to the Irony Detection in Italian Tweets task (IronITA) within the context of …
Andrea Santilli
,
Danilo Croce
,
Roberto Basili
PDF
Cite
DOI
EVALITA 2018
Localized manifold harmonics for spectral shape analysis
Simone Melzi
,
Emanuele Rodolà
,
U. Castellani
,
M. M. Bronstein
Cite
URL
GitHub
SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons
SemEval2018
In this paper, we present SyntNN as a way to include traditional syntactic models in multilayer neural networks used in the task of …
Andrea Santilli
,
Fabio Massimo Zanzotto
PDF
Cite
DOI
SemEval 2018
Improved functional mappings via product preservation
D. Nogneng
,
Simone Melzi
,
Emanuele Rodolà
,
U. Castellani
,
M. M. Bronstein
,
M. Ovsjanikov
Cite
URL
GitHub
Spatial Maps: From low rank spectral to sparse spatial functional representations
Functional representation is a well-established approach to represent dense correspondences between deformable shapes. The approach …
Andrea Gasparetto
,
Luca Cosmo
,
Emanuele Rodolà
,
Michael M. Bronstein
,
Andrea Torsello
Cite
DOI
PDF
Partial Single- and Multishape Dense Correspondence Using Functional Maps
O. Litany
,
Emanuele Rodolà
,
A. M. Bronstein
,
M. M. Bronstein
,
Daniel Cremers
Cite
DOI
Efficient 2D-to-3D deformable shape matching for 3D shape retrieval applications
Z. Lähner
,
Emanuele Rodolà
,
F. R. Schmidt
,
M. M. Bronstein
,
Daniel Cremers
Cite
Regularized Point-wise Map Recovery from Functional Correspondence
Emanuele Rodolà
,
M. Moeller
,
Daniel Cremers
Cite
Efficient deformable shape correspondence via kernel matching
M. Vestner
,
Z. Lähner
,
A. Boyarski
,
O. Litany
,
R. Slossberg
,
T. Remez
,
Emanuele Rodolà
,
A. M. Bronstein
,
M. M. Bronstein
,
R. Kimmel
,
Daniel Cremers
Cite
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
ICCV 2017
We introduce a new framework for learning dense correspondence between deformable 3D shapes. Existing learning based approaches model …
O. Litany
,
T. Remez
,
Emanuele Rodolà
,
A. M. Bronstein
,
M. M. Bronstein
Cite
Effects of Network Topology on the OpenAnswer’s Bayesian Model of Peer Assessment
The paper investigates if and how the topology of the peer-assessment network can affect the performance of the Bayesian model adopted …
Maria De Marsico
,
Luca Moschella
,
Andrea Sterbini
,
Marco Temperini
PDF
Cite
EC-TEL 2017
Performance Variations of the Bayesian Model of Peer-Assessment Implemented in OpenAnswer Response to Modifications of the Number of Peers Assessed and of the Quality of the Class
The paper presents a study of the performance variations of the Bayesian model of peer-assessment implemented in OpenAnswer, in terms …
Maria De Marsico
,
Luca Moschella
,
Andrea Sterbini
,
Marco Temperini
PDF
Cite
ITHET 2017
Product Manifold Filter: Non-rigid shape correspondence via kernel density estimation in the product space
M. Vestner
,
R. Litman
,
Emanuele Rodolà
,
A. M. Bronstein
,
Daniel Cremers
Cite
Geometric deep learning on graphs and manifolds using mixture model CNNs
F. Monti
,
Davide Boscaini
,
Jonathan Masci
,
Emanuele Rodolà
,
J. Svoboda
,
M. M. Bronstein
Cite
Fully spectral partial shape matching
O. Litany
,
Emanuele Rodolà
,
A. M. Bronstein
,
M. M. Bronstein
Cite
SHREC'17: Deformable shape retrieval with missing parts
Emanuele Rodolà
,
Luca Cosmo
,
O. Litany
,
M. M. Bronstein
,
A. M. Bronstein
,
N. Audebert
,
A. B. Hamza
,
A. Boulch
,
U. Castellani
,
M. N. Do
,
others
Cite
Partial Functional Correspondence
Emanuele Rodolà
,
Luca Cosmo
,
M. M. Bronstein
,
Andrea Torsello
,
Daniel Cremers
Cite
Consistent Partial Matching of Shape Collections via Sparse Modeling
Recent efforts in the area of joint object matching approach the problem by taking as input a set of pairwise maps, which are then …
Luca Cosmo
,
Emanuele Rodolà
,
Andrea Albarelli
,
Facundo Mémoli
,
Daniel Cremers
Cite
DOI
PDF
Computing and Processing Correspondences with Functional Maps
M. Ovsjanikov
,
E. Corman
,
M. M. Bronstein
,
Emanuele Rodolà
,
M. Ben-Chen
,
L. Guibas
,
F. Chazal
,
A. M. Bronstein
Cite
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
,
Jonathan Masci
,
Emanuele Rodolà
,
M. M. Bronstein
Cite
An Accurate and Robust Artificial Marker Based on Cyclic Codes
Artificial markers are successfully adopted to solve several vision tasks, ranging from tracking to calibration. While most designs …
Filippo Bergamasco
,
Andrea Albarelli
,
Luca Cosmo
,
Emanuele Rodolà
,
Andrea Torsello
Cite
PDF
A Game-theoretical Approach for Joint Matching of Multiple Feature throughout Unordered Images
Feature matching is a key step in most Computer Vision tasks involving several views of the same subject. In fact, it plays a crucial …
Luca Cosmo
,
Andrea Albarelli
,
Filippo Bergamasco
,
Andrea Torsello
,
Emanuele Rodolà
,
Daniel Cremers
Cite
PDF
Shape analysis with anisotropic windowed Fourier transform
Simone Melzi
,
Emanuele Rodolà
,
U. Castellani
,
M. M. Bronstein
Cite
URL
GitHub
Coupled functional maps
D. Eynard
,
Emanuele Rodolà
,
K. Glashoff
,
M. M. Bronstein
Cite
Non-rigid puzzles
O. Litany
,
Emanuele Rodolà
,
A. M. Bronstein
,
M. M. Bronstein
,
Daniel Cremers
Cite
Efficient globally optimal 2d-to-3d deformable shape matching
Z. Lähner
,
Emanuele Rodolà
,
F. R. Schmidt
,
M. M. Bronstein
,
Daniel Cremers
Cite
SHREC'16: Matching of deformable shapes with topological noise
Z. Lähner
,
Emanuele Rodolà
,
M. M. Bronstein
,
Daniel Cremers
,
O. Burghard
,
Luca Cosmo
,
A. Dieckmann
,
R. Klein
,
Y. Sahillioglu
Cite
Anisotropic Diffusion Descriptors
Davide Boscaini
,
Jonathan Masci
,
Emanuele Rodolà
,
M. M. Bronstein
,
Daniel Cremers
Cite
SHREC'16: Partial matching of deformable shapes
Matching deformable 3D shapes under partiality transformations is a challenging problem that has received limited focus in the computer …
Luca Cosmo
,
Emanuele Rodolà
,
Michael M. Bronstein
,
Andrea Torsello
,
Daniel Cremers
,
Yusuf Sahillioǧlu
Cite
DOI
PDF
URL
Matching deformable objects in clutter
We consider the problem of deformable object detection and dense correspondence in cluttered 3D scenes. Key ingredient to our method is …
Luca Cosmo
,
Emanuele Rodolà
,
Jonathan Masci
,
Andrea Torsello
,
Michael M. Bronstein
Cite
DOI
PDF
Geometric Deep Learning
Jonathan Masci
,
Emanuele Rodolà
,
Davide Boscaini
,
M. M. Bronstein
,
H. Li
Cite
Computing and Processing Correspondences with Functional Maps
M. Ovsjanikov
,
E. Corman
,
M. M. Bronstein
,
Emanuele Rodolà
,
M. Ben-Chen
,
L. Guibas
,
F. Chazal
,
A. M. Bronstein
Cite
Applying Random Forests to the Problem of Dense Non-Rigid Shape Correspondence
M. Vestner
,
Emanuele Rodolà
,
S. Rota Bul\ ̀and T. Windheuser
,
Daniel Cremers
Cite
Realistic Photometric Stereo Using Partial Differential Irradiance Equation Ratios
R. Mecca
,
Emanuele Rodolà
,
Daniel Cremers
Cite
Point-wise map recovery and refinement from functional correspondence
Emanuele Rodolà
,
M. Moeller
,
Daniel Cremers
Cite
Fast and Accurate Surface Alignment Through an Isometry-Enforcing Game
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
A Simple and Effective Relevance-Based Point Sampling for 3D Shapes
Emanuele Rodolà
,
Andrea Albarelli
,
Daniel Cremers
,
Andrea Torsello
Cite
Analysis of surface parametrizations for modern photometric stereo modeling
R. Mecca
,
Emanuele Rodolà
,
Daniel Cremers
Cite
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction
Due to their recent availability as off-the-shelf commercial devices, light-field cameras has gathered increasing attention from both …
Filippo Bergamasco
,
Andrea Albarelli
,
Luca Cosmo
,
Andrea Torsello
,
Emanuele Rodolà
,
Daniel Cremers
Cite
PDF
Learning similarities for rigid and non-rigid object detection
A. Kanezaki
,
Emanuele Rodolà
,
Daniel Cremers
,
T. Harada
Cite
Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis
T. Windheuser
,
M. Vestner
,
Emanuele Rodolà
,
R. Triebel
,
Daniel Cremers
Cite
Anisotropic Laplace-Beltrami operators for shape analysis
M. Andreux
,
Emanuele Rodolà
,
M. Aubry
,
Daniel Cremers
Cite
Robust Region Detection via Consensus Segmentation of Deformable Shapes
Emanuele Rodolà
,
S. Rota Bul\ ̀and Daniel Cremers
Cite
Dense non-rigid shape correspondence using random forests
Emanuele Rodolà
,
̀ S. Rota Bul\
,
T. Windheuser
,
M. Vestner
,
Daniel Cremers
Cite
Elastic net constraints for shape matching
Emanuele Rodolà
,
Andrea Torsello
,
T. Harada
,
Y. Kuniyoshi
,
Daniel Cremers
Cite
Efficient Shape Matching using Vector Extrapolation.
Emanuele Rodolà
,
T. Harada
,
Y. Kuniyoshi
,
Daniel Cremers
Cite
Can a fully unconstrained imaging model be applied effectively to central cameras?
F. Bergamasco
,
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
Stable and Fast Techniques for Unambiguous Compound Phase Coding
Andrea Torsello
,
Andrea Albarelli
,
Emanuele Rodolà
Cite
A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes
Emanuele Rodolà
,
Andrea Albarelli
,
F. Bergamasco
,
Andrea Torsello
Cite
A Game-Theoretic Approach to Pairwise Clustering and Matching
M. Pelillo
,
S. Rota Bulò
,
Andrea Torsello
,
Andrea Albarelli
,
Emanuele Rodolà
Cite
A game-theoretic approach to deformable shape matching
Emanuele Rodolà
,
A. M. Bronstein
,
Andrea Albarelli
,
F. Bergamasco
,
Andrea Torsello
Cite
Imposing Semi-local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: a Game-Theoretic Perspective
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
Rune-tag: A high accuracy fiducial marker with strong occlusion resilience
F. Bergamasco
,
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
Multiview registration via graph diffusion of dual quaternions
Andrea Torsello
,
Emanuele Rodolà
,
Andrea Albarelli
Cite
Sampling relevant points for surface registration
Andrea Torsello
,
Emanuele Rodolà
,
Andrea Albarelli
Cite
A Non-Cooperative Game for 3D Object Recognition in Cluttered Scenes
Andrea Albarelli
,
Emanuele Rodolà
,
F. Bergamasco
,
Andrea Torsello
Cite
Loosely distinctive features for robust surface alignment
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
Robust figure extraction on textured background: a game-theoretic approach
Andrea Albarelli
,
Emanuele Rodolà
,
A. Cavallarin
,
Andrea Torsello
Cite
Robust camera calibration using inaccurate targets
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
A game-theoretic approach to the enforcement of global consistency in multi-view feature matching
Emanuele Rodolà
,
Andrea Albarelli
,
Andrea Torsello
Cite
A Game-Theoretic Approach to Robust Selection of Multi-View Point Correspondence
Emanuele Rodolà
,
Andrea Albarelli
,
Andrea Torsello
Cite
A game-theoretic approach to fine surface registration without initial motion estimation
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
Robust game-theoretic inlier selection for bundle adjustment
Andrea Albarelli
,
Emanuele Rodolà
,
Andrea Torsello
Cite
Fast 3D surface reconstruction by unambiguous compound phase coding
Andrea Albarelli
,
Emanuele Rodolà
,
S. Rota Bul\ ̀and Andrea Torsello
Cite
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