Emanuele Rodolà

247 papers A* 34A 4B 4Misc 6Journal 141Unranked 50
YearRankTypeTitle / Venue / Authors
2026 J jnl
Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success.
CoRR
Luca Zhou, Bo Zhao, Rose Yu, Emanuele Rodolà
2026 J jnl
Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data.
CoRR
Osamu Hirose, Emanuele Rodolà
2026 J jnl
EuleroDec: A Complex-Valued RVQ-VAE for Efficient and Robust Audio Coding.
CoRR
Luca Cerovaz, Michele Mancusi, Emanuele Rodolà
2026 Misc ed.
Image Analysis and Processing - ICIAP 2025 - 23rd International Conference, Rome, Italy, September 15-19, 2025, Proceedings, Part I
ICIAP
Emanuele Rodolà, Fabio Galasso, Iacopo Masi
2026 — ed.
Image Analysis and Processing - ICIAP 2025 - 23rd International Conference, Rome, Italy, September 15-19, 2025, Proceedings, Part II
ICIAP (2)
Emanuele Rodolà, Fabio Galasso, Iacopo Masi
2026 — ed.
Image Analysis and Processing - ICIAP 2025 Workshops - 23rd International Conference, Rome, Italy, September 15-19, 2025, Proceedings, Part I
ICIAP (Workshops 1)
Emanuele Rodolà, Fabio Galasso, Iacopo Masi
2026 — ed.
Image Analysis and Processing - ICIAP 2025 Workshops - 23rd International Conference, Rome, Italy, September 15-19, 2025, Proceedings, Part II
ICIAP (Workshops 2)
Emanuele Rodolà, Fabio Galasso, Iacopo Masi
2026 J jnl
Multi-Way Representation Alignment.
CoRR
Akshit Achara, Tatiana Gaintseva, Mateo Mahaut, Pritish Chakraborty, Viktor Stenby Johansson, Melih Barsbey, Emanuele Rodolà, Donato Crisostomi
2026 J jnl
Not All Latent Spaces Are Flat: Hyperbolic Concept Control.
CoRR
Maria Rosaria Briglia, Simone Facchiano, Paolo Cursi, Alessio Sampieri, Emanuele Rodolà, Guido Maria D'Amely di Melendugno, Luca Franco, Fabio Galasso, Iacopo Masi
2025 — conf
ATM: Improving Model Merging by Alternating Tuning and Merging.
ICIAP (Workshops 2)
Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Fabrizio Silvestri, Emanuele Rodolà
2025 J jnl
Activation Patching for Interpretable Steering in Music Generation.
CoRR
Simone Facchiano, Giorgio Strano, Donato Crisostomi, Irene Tallini, Tommaso Mencattini, Fabio Galasso, Emanuele Rodolà
2025 Misc conf
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations.
ICASSP
Ruben Ciranni, Giorgio Mariani, Michele Mancusi, Emilian Postolache, Giorgio Fabbro, Emanuele Rodolà, Luca Cosmo
2025 A* conf
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces.
CVPR
Souhail Hadgi, Luca Moschella, Andrea Santilli, Diego Gomez, Qixing Huang, Emanuele Rodolà, Simone Melzi, Maks Ovsjanikov
2025 J jnl
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces.
CoRR
Souhail Hadgi, Luca Moschella, Andrea Santilli, Diego Gomez, Qixing Huang, Emanuele Rodolà, Simone Melzi, Maks Ovsjanikov
2025 J jnl
Graph Kernel Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Luca Cosmo, Giorgia Minello, Alessandro Bicciato, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello
2025 J jnl
Implicit Inversion turns CLIP into a Decoder.
CoRR
Antonio D'Orazio, Maria Rosaria Briglia, Donato Crisostomi, Dario Loi, Emanuele Rodolà, Iacopo Masi
2025 J jnl
Language Models are Injective and Hence Invertible.
CoRR
Giorgos Nikolaou, Tommaso Mencattini, Donato Crisostomi, Andrea Santilli, Yannis Panagakis, Emanuele Rodolà
2025 — conf
LoopGen: Training-Free Loopable Music Generation.
ISMIR
Davide Marincione, Giorgio Strano, Donato Crisostomi, Roberto Ribuoli, Emanuele Rodolà
2025 J jnl
LoopGen: Training-Free Loopable Music Generation.
CoRR
Davide Marincione, Giorgio Strano, Donato Crisostomi, Roberto Ribuoli, Emanuele Rodolà
2025 J jnl
MASS: MoErging through Adaptive Subspace Selection.
CoRR
Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà
2025 J jnl
MERGE
CoRR
Tommaso Mencattini, Adrian Robert Minut, Donato Crisostomi, Andrea Santilli, Emanuele Rodolà
2025 A* conf
MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs.
ICML
Tommaso Mencattini, Adrian Robert Minut, Donato Crisostomi, Andrea Santilli, Emanuele Rodolà
2025 J jnl
Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching.
CoRR
Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà
2025 J jnl
Membership and Dataset Inference Attacks on Large Audio Generative Models.
CoRR
Jakub Proboszcz, Pawel Kochanski, Karol Korszun, Donato Crisostomi, Giorgio Strano, Emanuele Rodolà, Kamil Deja, Jan Dubinski
2025 — conf
Mergenetic: a Simple Evolutionary Model Merging Library.
ACL (3)
Adrian Robert Minut, Tommaso Mencattini, Andrea Santilli, Donato Crisostomi, Emanuele Rodolà
2025 J jnl
Mergenetic: a Simple Evolutionary Model Merging Library.
CoRR
Adrian Robert Minut, Tommaso Mencattini, Andrea Santilli, Donato Crisostomi, Emanuele Rodolà
2025 J jnl
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models.
CoRR
Davide Marincione, Donato Crisostomi, Roberto Dessì, Emanuele Rodolà, Emanuele Rossi
2025 J jnl
Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos.
CoRR
Daniele Baieri, Riccardo Cicciarella, Michael Krützen, Emanuele Rodolà, Silvia Zuffi
2025 Misc conf
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models.
ICASSP
Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Luca Cosmo, Taketo Akama
2025 J jnl
Navigating the Latent Space Dynamics of Neural Models.
CoRR
Marco Fumero, Luca Moschella, Emanuele Rodolà, Francesco Locatello
2025 J jnl
On Task Vectors and Gradients.
CoRR
Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Fabrizio Silvestri, Emanuele Rodolà
2025 J jnl
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions.
Trans. Mach. Learn. Res.
Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli, Fabio Massimo Zanzotto, Sébastien Bratières, Emanuele Rodolà
2025 J jnl
ResiDual Transformer Alignment with Spectral Decomposition.
Trans. Mach. Learn. Res.
Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello
2025 — conf
STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning.
ISMIR
Giorgio Strano, Chiara Ballanti, Donato Crisostomi, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
2025 J jnl
STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning.
CoRR
Giorgio Strano, Chiara Ballanti, Donato Crisostomi, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
2025 A* conf
Task Singular Vectors: Reducing Task Interference in Model Merging.
CVPR
Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà
2025 J jnl
Two-Scale Latent Dynamics for Recurrent-Depth Transformers.
CoRR
Francesco Pappone, Donato Crisostomi, Emanuele Rodolà
2025 A* conf
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors.
ICML
Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodolà, Simone Calderara, Angelo Porrello
2025 J jnl
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors.
CoRR
Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodolà, Simone Calderara, Angelo Porrello
2025 J jnl
Video Unlearning via Low-Rank Refusal Vector.
CoRR
Simone Facchiano, Stefano Saravalle, Matteo Migliarini, Edoardo De Matteis, Alessio Sampieri, Andrea Pilzer, Emanuele Rodolà, Indro Spinelli, Luca Franco, Fabio Galasso
2024 A* conf
$C^2M^3$: Cycle-Consistent Multi-Model Merging.
NeurIPS
Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà
2024 J jnl
ATM: Improving Model Merging by Alternating Tuning and Merging.
CoRR
Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Fabrizio Silvestri, Emanuele Rodolà
2024 J jnl
C
CoRR
Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà
2024 J jnl
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations.
CoRR
Ruben Ciranni, Emilian Postolache, Giorgio Mariani, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
2024 J jnl
Detecting and Approximating Redundant Computational Blocks in Neural Networks.
CoRR
Irene Cannistraci, Emanuele Rodolà, Bastian Rieck
2024 A* conf
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.
ICLR
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
2024 J jnl
GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting.
CoRR
Francesco Palandra, Andrea Sanchietti, Daniele Baieri, Emanuele Rodolà
2024 Misc conf
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models.
ICASSP
Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà
2024 J jnl
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models.
CoRR
Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà
2024 J jnl
Geometric epitope and paratope prediction.
Bioinform.
Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
2024 J jnl
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing.
CoRR
Daniele Baieri, Filippo Maggioli, Zorah Lähner, Simone Melzi, Emanuele Rodolà
2024 J jnl
Latent Functional Maps.
CoRR
Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà
2024 A* conf
Latent Functional Maps: a spectral framework for representation alignment.
NeurIPS
Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà
2024 J jnl
Latent Space Translation via Inverse Relative Projection.
CoRR
Valentino Maiorca, Luca Moschella, Marco Fumero, Francesco Locatello, Emanuele Rodolà
2024 J jnl
Latent spectral regularization for continual learning.
Pattern Recognit. Lett.
Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara
2024 J jnl
MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms.
Comput. Methods Programs Biomed.
Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Emanuele Rodolà, Luciana Solito
2024 A* conf
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation.
ICLR
Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
2024 J jnl
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models.
CoRR
Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Taketo Akama
2024 J jnl
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions.
CoRR
Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli, Fabio Massimo Zanzotto, Sébastien Bratières, Emanuele Rodolà
2024 — conf
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence.
ECCV (37)
Filippo Maggioli, Daniele Baieri, Emanuele Rodolà, Simone Melzi
2024 J jnl
ResiDual Transformer Alignment with Spectral Decomposition.
CoRR
Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello
2024 J jnl
Sparse Vicious Attacks on Graph Neural Networks.
IEEE Trans. Artif. Intell.
Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei
2024 Misc conf
Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis.
ICASSP
Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss
2024 J jnl
Task Singular Vectors: Reducing Task Interference in Model Merging.
CoRR
Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà
2024 A conf
Vector Quantile Regression on Manifolds.
AISTATS
Marco Pegoraro, Sanketh Vedula, Aviv Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
2024 J jnl
Zero-Shot Stitching in Reinforcement Learning using Relative Representations.
CoRR
Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà
2023 A* conf
A Physically-inspired Approach to the Simulation of Plant Wilting.
SIGGRAPH Asia
Filippo Maggioli, Jonathan Klein, Torsten Hädrich, Emanuele Rodolà, Wojtek Palubicki, Sören Pirk, Dominik L. Michels
2023 A* conf
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.
NeurIPS
Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello
2023 — conf
Accelerating Transformer Inference for Translation via Parallel Decoding.
ACL (1)
Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà
2023 J jnl
Accelerating Transformer Inference for Translation via Parallel Decoding.
CoRR
Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà
2023 J jnl
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res.
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
2023 — conf
Bootstrapping Parallel Anchors for Relative Representations.
Tiny Papers @ ICLR
Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà
2023 J jnl
Bootstrapping Parallel Anchors for Relative Representations.
CoRR
Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà
2023 J jnl
CaSpeR: Latent Spectral Regularization for Continual Learning.
CoRR
Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara
2023 — conf
Camoscio: An Italian Instruction-tuned LLaMA.
CLiC-it
Andrea Santilli, Emanuele Rodolà
2023 J jnl
Camoscio: an Italian Instruction-tuned LLaMA.
CoRR
Andrea Santilli, Emanuele Rodolà
2023 J jnl
Efficient Generation of Multimodal Fluid Simulation Data.
CoRR
Daniele Baieri, Donato Crisostomi, Stefano Esposito, Filippo Maggioli, Emanuele Rodolà
2023 — conf
Exploiting Music Source Separation For Singing Voice Detection.
MLSP
Francesco Bonzi, Michele Mancusi, Simone Del Deo, Pierfrancesco Melucci, Maria Stella Tavella, Loreto Parisi, Emanuele Rodolà
2023 — conf
Fauno: The Italian Large Language Model that will leave you senza parole!
IIR
Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri
2023 J jnl
Fauno: The Italian Large Language Model that will leave you senza parole!
CoRR
Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri
2023 J jnl
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors.
CoRR
Daniele Baieri, Stefano Esposito, Filippo Maggioli, Emanuele Rodolà
2023 J jnl
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.
CoRR
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
2023 J jnl
From Charts to Atlas: Merging Latent Spaces into One.
CoRR
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
2023 — conf
From charts to atlas: Merging latent spaces into one.
NeurReps
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
2023 J jnl
Geometric Epitope and Paratope Prediction.
CoRR
Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
2023 A* conf
Latent Autoregressive Source Separation.
AAAI
Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
2023 J jnl
Latent Autoregressive Source Separation.
CoRR
Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
2023 — conf
Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation.
ICAART (2)
Babak Solhjoo, Emanuele Rodolà
2023 A* conf
Latent Space Translation via Semantic Alignment.
NeurIPS
Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà
2023 J jnl
Latent Space Translation via Semantic Alignment.
CoRR
Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà
2023 A* conf
Leveraging sparse and shared feature activations for disentangled representation learning.
NeurIPS
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023 J jnl
Leveraging sparse and shared feature activations for disentangled representation learning.
CoRR
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023 J jnl
Massive Uniform Mesh Decimation via a Fast Intrinsic Delaunay Triangulation.
CoRR
Filippo Maggioli, Daniele Baieri, Emanuele Rodolà
2023 J jnl
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation.
CoRR
Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
2023 A* conf
Multimodal Neural Databases.
SIGIR
Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri
2023 J jnl
Multimodal Neural Databases.
CoRR
Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri
2023 — conf
Preface of UniReps: the First Workshop on Unifying Representations in Neural Models.
UniReps
Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron
2023 — ed.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA.
UniReps
Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron
2023 A* conf
Relative representations enable zero-shot latent space communication.
ICLR
Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà
2023 — conf
Spectral Maps for Learning on Subgraphs.
NeurReps
Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
2023 J jnl
SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis.
CoRR
Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss
2023 J jnl
Vector Quantile Regression on Manifolds.
CoRR
Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
2023 J jnl
Zero-Shot Duet Singing Voices Separation with Diffusion Models.
CoRR
Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà, György Fazekas
2022 — conf
3D Human Pose Estimation Using Möbius Graph Convolutional Networks.
ECCV (1)
Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof
2022 J jnl
3D Human Pose Estimation Using Möbius Graph Convolutional Networks.
CoRR
Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof
2022 J jnl
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature.
Int. J. Comput. Vis.
Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello
2022 J jnl
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training.
CoRR
Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello
2022 J jnl
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
CoRR
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
2022 J jnl
Explanatory Learning: Beyond Empiricism in Neural Networks.
CoRR
Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà
2022 J jnl
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation.
CoRR
Michele Mancusi, Nicola Zonca, Emanuele Rodolà, Silvia Zuffi
2022 J jnl
Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021).
Comput. Graph.
Patrizio Frosini, Daniela Giorgi, Simone Melzi, Emanuele Rodolà
2022 J jnl
Harnessing spectral representations for subgraph alignment.
CoRR
Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
2022 — conf
Inverse Computational Spectral Geometry.
Eurographics (Tutorials)
Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin
2022 J jnl
KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination.
CoRR
Stefano Esposito, Daniele Baieri, Stefan Zellmann, André Hinkenjann, Emanuele Rodolà
2022 J jnl
Learning Spectral Unions of Partial Deformable 3D Shapes.
Comput. Graph. Forum
Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
2022 J jnl
Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach.
Comput. Graph. Forum
Marco Pegoraro, Simone Melzi, Umberto Castellani, Riccardo Marin, Emanuele Rodolà
2022 — conf
Metric Based Few-Shot Graph Classification.
LoG
Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà
2022 J jnl
Metric Based Few-Shot Graph Classification.
CoRR
Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà
2022 J jnl
MoMaS: Mold Manifold Simulation for real-time procedural texturing.
Comput. Graph. Forum
Filippo Maggioli, Riccardo Marin, Simone Melzi, Emanuele Rodolà
2022 J jnl
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification.
IEEE Trans. Circuits Syst. Video Technol.
Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà
2022 — conf
Newton's Fractals on Surfaces via Bicomplex Algebra.
SIGGRAPH Posters
Filippo Maggioli, Daniele Baieri, Simone Melzi, Emanuele Rodolà
2022 A* conf
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching.
NeurIPS
Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov
2022 J jnl
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching.
CoRR
Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov
2022 J jnl
Relative representations enable zero-shot latent space communication.
CoRR
Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà
2022 J jnl
Sparse Vicious Attacks on Graph Neural Networks.
CoRR
Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei
2021 — conf
Cluster-Driven Graph Federated Learning Over Multiple Domains.
CVPR Workshops
Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo
2021 J jnl
Cluster-driven Graph Federated Learning over Multiple Domains.
CoRR
Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo
2021 B conf
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose.
ICPP
Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà
2021 J jnl
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose.
CoRR
Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà
2021 J jnl
Graph Kernel Neural Networks.
CoRR
Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello
2021 — ed.
Italian Chapter Conference 2021 - Smart Tools and Apps in Graphics, Virtual Event, Italy, October 28-29, 2021.
STAG
Patrizio Frosini, Daniela Giorgi, Simone Melzi, Emanuele Rodolà
2021 A* conf
Learning disentangled representations via product manifold projection.
ICML
Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2021 J jnl
Learning disentangled representations via product manifold projection.
CoRR
Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2021 J jnl
Learning to generate shape from global-local spectra.
CoRR
Marco Pegoraro, Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani
2021 J jnl
Orthogonalized Fourier Polynomials for Signal Approximation and Transfer.
Comput. Graph. Forum
Filippo Maggioli, Simone Melzi, Maksim Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
2021 A* conf
Shape Registration in the Time of Transformers.
NeurIPS
Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà
2021 J jnl
Shape registration in the time of transformers.
CoRR
Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà
2021 J jnl
Spectral Shape Recovery and Analysis Via Data-driven Connections.
Int. J. Comput. Vis.
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2021 J jnl
Spectral Unions of Partial Deformable 3D Shapes.
CoRR
Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
2021 A* conf
Universal Spectral Adversarial Attacks for Deformable Shapes.
CVPR
Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2021 J jnl
Universal Spectral Adversarial Attacks for Deformable Shapes.
CoRR
Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2021 J jnl
Unsupervised Source Separation via Bayesian Inference in the Latent Domain.
CoRR
Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
2021 J jnl
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis.
Comput. Graph. Forum
Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
2021 J jnl
Why you should learn functional basis.
CoRR
Riccardo Marin, Souhaib Attaiki, Simone Melzi, Emanuele Rodolà, Maks Ovsjanikov
2020 J jnl
2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs.
IEEE Trans. Multim.
Danilo Avola, Marco Cascio, Luigi Cinque, Gian Luca Foresti, Cristiano Massaroni, Emanuele Rodolà
2020 J jnl
A parametric analysis of discrete Hamiltonian functional maps.
Comput. Graph. Forum
Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà
2020 J jnl
FARM: Functional Automatic Registration Method for 3D Human Bodies.
Comput. Graph. Forum
Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani
2020 J jnl
Generating Adversarial Surfaces via Band-Limited Perturbations.
Comput. Graph. Forum
Giorgio Mariani, Luca Cosmo, Alexander M. Bronstein, Emanuele Rodolà
2020 J jnl
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models.
CoRR
Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani
2020 — conf
Instant recovery of shape from spectrum via latent space connections.
3DV
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2020 J jnl
Instant recovery of shape from spectrum via latent space connections.
CoRR
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2020 J jnl
Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification.
CoRR
Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà
2020 — conf
LIMP: Learning Latent Shape Representations with Metric Preservation Priors.
ECCV (3)
Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
2020 J jnl
LIMP: Learning Latent Shape Representations with Metric Preservation Priors.
CoRR
Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
2020 J jnl
Non-Rigid Puzzles.
CoRR
Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers
2020 J jnl
Nonlinear Spectral Geometry Processing via the TV Transform.
CoRR
Marco Fumero, Michael Möller, Emanuele Rodolà
2020 J jnl
Nonlinear spectral geometry processing via the TV transform.
ACM Trans. Graph.
Marco Fumero, Michael Möller, Emanuele Rodolà
2020 J jnl
The Whole Is Greater Than the Sum of Its Nonrigid Parts.
CoRR
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel
2020 — conf
Towards Precise Completion of Deformable Shapes.
ECCV (24)
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel
2020 J jnl
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis.
CoRR
Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
2019 — conf
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.
3DV
Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019 J jnl
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.
CoRR
Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019 — conf
Deep Learning for Computer Graphics and Geometry Processing.
Eurographics (Tutorials)
Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà
2019 J jnl
Functional Maps Representation On Product Manifolds.
Comput. Graph. Forum
Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2019 A* conf
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching.
CVPR
Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà
2019 — conf
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models.
3DV
Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani
2019 A* conf
Isospectralization, or How to Hear Shape, Style, and Correspondence.
CVPR
Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
2019 — conf
Matching Humans with Different Connectivity.
3DOR@Eurographics
Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
2019 — conf
Shape Correspondence with Isometric and Non-Isometric Deformations.
3DOR@Eurographics
Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang
2019 A* conf
Unsupervised Learning of Dense Shape Correspondence.
CVPR
Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
2019 J jnl
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence.
CoRR
Simone Melzi, Jing Ren, Emanuele Rodolà, Peter Wonka, Maks Ovsjanikov
2019 J jnl
ZoomOut: spectral upsampling for efficient shape correspondence.
ACM Trans. Graph.
Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov
2018 J jnl
FARM: Functional Automatic Registration Method for 3D Human Bodies.
CoRR
Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani
2018 J jnl
Functional Maps Representation on Product Manifolds.
CoRR
Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2018 — conf
Functional Maps on Product Manifolds.
SGP (Posters)
Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon
2018 J jnl
Improved Functional Mappings via Product Preservation.
Comput. Graph. Forum
Dorian Nogneng, Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein, Maks Ovsjanikov
2018 J jnl
Isospectralization, or how to hear shape, style, and correspondence.
CoRR
Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
2018 J jnl
Localized Manifold Harmonics for Spectral Shape Analysis.
Comput. Graph. Forum
Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein
2018 J jnl
Self-supervised Learning of Dense Shape Correspondence.
CoRR
Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
2018 Misc conf
Structured Prediction of Dense Maps between Geometric Domains.
ICASSP
Emanuele Rodolà
2017 — conf
Computing and processing correspondences with functional maps.
SIGGRAPH Courses
Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2017 J jnl
Consistent Partial Matching of Shape Collections via Sparse Modeling.
Comput. Graph. Forum
Luca Cosmo, Emanuele Rodolà, Andrea Albarelli, Facundo Mémoli, Daniel Cremers
2017 A* conf
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.
ICCV
Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017 J jnl
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.
CoRR
Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017 — conf
Deformable Shape Retrieval with Missing Parts.
3DOR@Eurographics
Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou
2017 — conf
Efficient Deformable Shape Correspondence via Kernel Matching.
3DV
Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017 J jnl
Efficient Deformable Shape Correspondence via Kernel Matching.
CoRR
Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017 J jnl
Fully Spectral Partial Shape Matching.
Comput. Graph. Forum
Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017 A* conf
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.
CVPR
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
2017 — conf
Localized Manifold Harmonics for Spectral Shape Analysis.
SGP (Posters)
Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein
2017 J jnl
Localized Manifold Harmonics for Spectral Shape Analysis.
CoRR
Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein
2017 J jnl
Partial Functional Correspondence.
Comput. Graph. Forum
Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers
2017 J jnl
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space.
CoRR
Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers
2017 A* conf
Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space.
CVPR
Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers
2017 J jnl
Regularized Pointwise Map Recovery from Functional Correspondence.
Comput. Graph. Forum
Emanuele Rodolà, Michael Möller, Daniel Cremers
2017 — conf
Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations.
3DV
Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello
2016 B conf
A game-theoretical approach for joint matching of multiple feature throughout unordered images.
ICPR
Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello, Emanuele Rodolà, Daniel Cremers
2016 J jnl
An Accurate and Robust Artificial Marker Based on Cyclic Codes.
IEEE Trans. Pattern Anal. Mach. Intell.
Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Emanuele Rodolà, Andrea Torsello
2016 J jnl
Anisotropic Diffusion Descriptors.
Comput. Graph. Forum
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers
2016 — ch.
Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence.
Perspectives in Shape Analysis
Matthias Vestner, Emanuele Rodolà, Thomas Windheuser, Samuel Rota Bulò, Daniel Cremers
2016 J jnl
Bayesian Inference of Bijective Non-Rigid Shape Correspondence.
CoRR
Matthias Vestner, Roee Litman, Alexander M. Bronstein, Emanuele Rodolà, Daniel Cremers
2016 — conf
Computing and processing correspondences with functional maps.
SIGGRAPH ASIA Courses
Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2016 — conf
Coupled Functional Maps.
3DV
Davide Eynard, Emanuele Rodolà, Klaus Glashoff, Michael M. Bronstein
2016 — conf
Deep Learning for Shape Analysis.
Eurographics (Tutorials)
Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini
2016 A* conf
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.
CVPR
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016 J jnl
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.
CoRR
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016 J jnl
Geometric deep learning on graphs and manifolds using mixture model CNNs.
CoRR
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
2016 — conf
Geometric deep learning.
SIGGRAPH ASIA Courses
Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li
2016 — conf
Learning shape correspondence with anisotropic convolutional neural networks.
NIPS
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein
2016 J jnl
Learning shape correspondence with anisotropic convolutional neural networks.
CoRR
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein
2016 — conf
Matching Deformable Objects in Clutter.
3DV
Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein
2016 — conf
Matching of Deformable Shapes with Topological Noise.
3DOR@Eurographics
Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu
2016 J jnl
Non-Rigid Puzzles.
Comput. Graph. Forum
Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers
2016 — conf
Partial Matching of Deformable Shapes.
3DOR@Eurographics
Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello, Daniel Cremers, Yusuf Sahillioglu
2016 — conf
Shape Analysis with Anisotropic Windowed Fourier Transform.
3DV
Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein
2015 J jnl
A simple and effective relevance-based point sampling for 3D shapes.
Pattern Recognit. Lett.
Emanuele Rodolà, Andrea Albarelli, Daniel Cremers, Andrea Torsello
2015 A* conf
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction.
CVPR
Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodolà, Daniel Cremers
2015 J jnl
Fast and accurate surface alignment through an isometry-enforcing game.
Pattern Recognit.
Andrea Albarelli, Emanuele Rodolà, Andrea Torsello
2015 J jnl
Partial Functional Correspondence.
CoRR
Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers
2015 — conf
Point-wise Map Recovery and Refinement from Functional Correspondence.
VMV
Emanuele Rodolà, Michael Möller, Daniel Cremers
2015 J jnl
Point-wise Map Recovery and Refinement from Functional Correspondence.
CoRR
Emanuele Rodolà, Michael Möller, Daniel Cremers
2015 J jnl
Realistic photometric stereo using partial differential irradiance equation ratios.
Comput. Graph.
Roberto Mecca, Emanuele Rodolà, Daniel Cremers
2014 — conf
Anisotropic Laplace-Beltrami Operators for Shape Analysis.
ECCV Workshops (4)
Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers
2014 A* conf
Dense Non-rigid Shape Correspondence Using Random Forests.
CVPR
Emanuele Rodolà, Samuel Rota Bulò, Thomas Windheuser, Matthias Vestner, Daniel Cremers
2014 — conf
Learning Similarities for Rigid and Non-rigid Object Detection.
3DV
Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada
2014 A conf
Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis.
BMVC
Thomas Windheuser, Matthias Vestner, Emanuele Rodolà, Rudolph Triebel, Daniel Cremers
2014 J jnl
Robust Region Detection via Consensus Segmentation of Deformable Shapes.
Comput. Graph. Forum
Emanuele Rodolà, Samuel Rota Bulò, Daniel Cremers
2013 — ch.
A Game-Theoretic Approach to Pairwise Clustering and Matching.
Similarity-Based Pattern Analysis and Recognition
Marcello Pelillo, Samuel Rota Bulò, Andrea Torsello, Andrea Albarelli, Emanuele Rodolà
2013 J jnl
A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes.
Int. J. Comput. Vis.
Emanuele Rodolà, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello
2013 A* conf
Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras?
CVPR
Filippo Bergamasco, Andrea Albarelli, Emanuele Rodolà, Andrea Torsello
2013 A conf
Efficient Shape Matching using Vector Extrapolation.
BMVC
Emanuele Rodolà, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers
2013 A* conf
Elastic Net Constraints for Shape Matching.
ICCV
Emanuele Rodolà, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers
2013 J jnl
Stable and fast techniques for unambiguous compound phase coding.
Image Vis. Comput.
Andrea Torsello, Andrea Albarelli, Emanuele Rodolà
2012 A* conf
A game-theoretic approach to deformable shape matching.
CVPR
Emanuele Rodolà, Alexander M. Bronstein, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello
2012 J jnl
Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective.
Int. J. Comput. Vis.
Andrea Albarelli, Emanuele Rodolà, Andrea Torsello
2012 — —
Sparse and robust matching problem for 3D shape analysis.
Emanuele Rodolà
2011 — conf
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes.
3DIMPVT
Andrea Albarelli, Emanuele Rodolà, Filippo Bergamasco, Andrea Torsello
2011 A* conf
Multiview registration via graph diffusion of dual quaternions.
CVPR
Andrea Torsello, Emanuele Rodolà, Andrea Albarelli
2011 A* conf
RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience.
CVPR
Filippo Bergamasco, Andrea Albarelli, Emanuele Rodolà, Andrea Torsello
2011 — conf
Sampling Relevant Points for Surface Registration.
3DIMPVT
Andrea Torsello, Emanuele Rodolà, Andrea Albarelli
2010 B conf
A Game-Theoretic Approach to Robust Selection of Multi-view Point Correspondence.
ICPR
Emanuele Rodolà, Andrea Albarelli, Andrea Torsello
2010 — conf
A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching.
SSPR/SPR
Emanuele Rodolà, Andrea Albarelli, Andrea Torsello
2010 A* conf
A game-theoretic approach to fine surface registration without initial motion estimation.
CVPR
Andrea Albarelli, Emanuele Rodolà, Andrea Torsello
2010 — conf
Loosely Distinctive Features for Robust Surface Alignment.
ECCV (5)
Andrea Albarelli, Emanuele Rodolà, Andrea Torsello
2010 A conf
Robust Camera Calibration using Inaccurate Targets.
BMVC
Andrea Albarelli, Emanuele Rodolà, Andrea Torsello
2010 B conf
Robust Figure Extraction on Textured Background: A Game-Theoretic Approach.
ICPR
Andrea Albarelli, Emanuele Rodolà, Alberto Cavallarin, Andrea Torsello
2009 — conf
Fast 3D surface reconstruction by unambiguous compound phase coding.
ICCV Workshops
Andrea Albarelli, Emanuele Rodolà, Samuel Rota Bulò, Andrea Torsello