← Authors

Emanuele Rodolà

36 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (58) 🌍 Conference Polyglot (9) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (5) 🔬 Deep Specialist (15) 🔥 Unstoppable (7) ⚡ Prolific Year (6) 🚀 Conference Pioneer 💎 Century Club (36) ❓ The Questioner 🗃️ Keyword Collector (136)

Conferences

CVPR (12) NIPS (8) ECCV (4) ICLR (3) ICML (3) ACL (2) ICCV (2) AAAI (1) AISTATS (1)

Top co-authors

Marco Fumero (8) Luca Cosmo (8) Luca Moschella (6) Simone Melzi (6) Valentino Maiorca (6) Francesco Locatello (5) Donato Crisostomi (5) Daniel Cremers (5) Andrea Santilli (5) Michael M. Bronstein (4)

Keywords

deformable shape (5) shape correspondence (5) manifold learning (5) shape matching (4) 3d vision (4) representation learning (4) dense correspondence (3) model merging (3) point cloud (3) non-euclidean datum (2) unsupervised learning (2) functional map (2) geometry processing (2) camera calibration (2) feature learning (2) disentangled representation (2) spectral method (2) geometric deep learning (2) spectral geometry (2) neural network (2)

Papers

Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces CVPR 2025
Mergenetic: a Simple Evolutionary Model Merging Library ACL 2025
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors ICML 2025
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs ICML 2025
Task Singular Vectors: Reducing Task Interference in Model Merging CVPR 2025
Vector Quantile Regression on Manifolds AISTATS 2024
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication ICLR 2024
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation ICLR 2024
$C^2M^3$: Cycle-Consistent Multi-Model Merging NIPS 2024
Latent Functional Maps: a spectral framework for representation alignment NIPS 2024
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence ECCV 2024
Latent Space Translation via Semantic Alignment NIPS 2023
Latent Autoregressive Source Separation AAAI 2023
Accelerating Transformer Inference for Translation via Parallel Decoding ACL 2023
Relative representations enable zero-shot latent space communication ICLR 2023
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training NIPS 2023
Leveraging sparse and shared feature activations for disentangled representation learning NIPS 2023
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching NIPS 2022
3D Human Pose Estimation Using Möbius Graph Convolutional Networks ECCV 2022
Universal Spectral Adversarial Attacks for Deformable Shapes CVPR 2021
Shape Registration in the Time of Transformers NIPS 2021
Learning disentangled representations via product manifold projection ICML 2021
Towards Precise Completion of Deformable Shapes ECCV 2020
LIMP: Learning Latent Shape Representations with Metric Preservation Priors ECCV 2020
Unsupervised Learning of Dense Shape Correspondence CVPR 2019
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching CVPR 2019
Isospectralization, or How to Hear Shape, Style, and Correspondence CVPR 2019
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence ICCV 2017
Learning shape correspondence with anisotropic convolutional neural networks NIPS 2016
Efficient Globally Optimal 2D-To-3D Deformable Shape Matching CVPR 2016
Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction CVPR 2015
Dense Non-Rigid Shape Correspondence using Random Forests CVPR 2014
Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras? CVPR 2013
Elastic Net Constraints for Shape Matching ICCV 2013