Real-Time 3-D Motion and Structure of Point-Features: A Front-End for Vision-Based Control and Interaction. - Hailin Jin; Paolo Favaro; Stefano Soatto (CVPR, 2000)

A Geometric Approach to Blind Deconvolution with Application to Shape from Defocu. - Stefano Soatto; Paolo Favaro (CVPR, 2000)

3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation. - Alessandro Chiuso; Paolo Favaro; Hailin Jin; Stefano Soatto (ECCV (2), 2000)

Shape and Radiance Estimation from the Information-Divergence of Blurred Images. - Paolo Favaro; Stefano Soatto (ECCV (1), 2000)

Real-time Virtual Object Insertion. - Paolo Favaro; Hailin Jin; Stefano Soatto (ICCV, 2001)

Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination. - Hailin Jin; Paolo Favaro; Stefano Soatto (ICCV, 2001)

Learning Shape from Defocus. - Paolo Favaro; Stefano Soatto (ECCV (2), 2002)

A Variational Approach to Shape from Defocus. - Hailin Jin; Paolo Favaro (ECCV (2), 2002)

Structure from Motion Causally Integrated Over Time. - Alessandro Chiuso; Paolo Favaro; Hailin Jin; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

3D Shape from Anisotropic Diffusion. - Paolo Favaro; Stanley J. Osher; Stefano Soatto; Luminita A. Vese (CVPR (1), 2003)

Seeing Beyond Occlusions (and other marvels of a finite lens aperture). - Paolo Favaro; Stefano Soatto (CVPR (2), 2003)

Dynamic Texture Segmentation. - Gianfranco Doretto; Daniel Cremers; Paolo Favaro; Stefano Soatto (ICCV, 2003)

On Exploiting Occlusions in Multiple-view Geometry. - Paolo Favaro; Alessandro Duci; Yi Ma 001; Stefano Soatto (ICCV, 2003)

Observing Shape from Defocused Images. - Paolo Favaro; Andrea Mennucci; Stefano Soatto (Int. J. Comput. Vis., 2003)

A semi-direct approach to structure from motion. - Hailin Jin; Paolo Favaro; Stefano Soatto (Vis. Comput., 2003)

A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues. - Paolo Favaro; Stefano Soatto (CVPR (1), 2004)

Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. - Paolo Favaro; Martin Burger 001; Stefano Soatto (ECCV (1), 2004)

Visual Tracking in the Presence of Motion Blur. - Hailin Jin; Paolo Favaro; Roberto Cipolla (CVPR (2), 2005)

KALMANSAC: Robust Filtering by Consensus. - Andrea Vedaldi; Hailin Jin; Paolo Favaro; Stefano Soatto (ICCV, 2005)

Using Frontier Points to Recover Shape, Reflectance and Illumunation. - George Vogiatzis; Paolo Favaro; Roberto Cipolla (ICCV, 2005)

A Geometric Approach to Shape from Defocus. - Paolo Favaro; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Defocus Inpainting. - Paolo Favaro; Enrico Grisan (ECCV (2), 2006)

3-D Shape Estimation and Image Restoration - Exploiting Defocus and Motion Blur. - Paolo Favaro; Stefano Soatto (Springer, 2007)

Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. - Yifei Lou; Paolo Favaro; Andrea L. Bertozzi; Stefano Soatto (CVPR, 2007)

Shape from Focus and Defocus: Convexity, Quasiconvexity and Defocus-Invariant Textures. - Paolo Favaro (ICCV, 2007)

Boosting Invariance and Efficiency in Supervised Learning. - Andrea Vedaldi; Paolo Favaro; Enrico Grisan (ICCV, 2007)

DynamicBoost: Boosting Time Series Generated by Dynamical Systems. - René Vidal; Paolo Favaro (ICCV, 2007)

On the Challenges for the Maximization of Radio Resources Usage in WiMAX Networks. - Xavier Pérez Costa; Paolo Favaro; Anatolij Zubow; Daniel Camps-Mur; Julio Aráuz (CCNC, 2008)

Off-axis aperture camera: 3D shape reconstruction and image restoration. - Qingxu Dou; Paolo Favaro (CVPR, 2008)

A theory of defocus via Fourier analysis. - Paolo Favaro; Alessandro Duci (CVPR, 2008)

Shape from Defocus via Diffusion. - Paolo Favaro; Stefano Soatto; Martin Burger 001; Stanley J. Osher (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Plenoptic depth estimation from multiple aliased views. - Tom E. Bishop; Paolo Favaro (ICCV Workshops, 2009)

Nonlocal Similarity Image Filtering. - Yifei Lou; Paolo Favaro; Stefano Soatto; Andrea L. Bertozzi (ICIAP, 2009)

Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Field. - Tom E. Bishop; Paolo Favaro (ACCV (2), 2010)

A Unified Approach to Segmentation and Categorization of Dynamic Textures. - Avinash Ravichandran; Paolo Favaro; René Vidal (ACCV (1), 2010)

Recovering thin structures via nonlocal-means regularization with application to depth from defocus. - Paolo Favaro (CVPR, 2010)

Single Image Blind Deconvolution with Higher-Order Texture Statistics. - Manuel Martinello; Paolo Favaro (Video Processing and Computational Video, 2010)

A Bayesian approach to shape from coded aperture. - Manuel Martinello; Tom E. Bishop; Paolo Favaro (ICIP, 2010)

A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter. - Qingxu Dou; Paolo Favaro (ICVGIP, 2010)

Greedy scheduling algorithm (GSA) - Design and evaluation of an efficient and flexible WiMAX OFDMA scheduling solution. - Anatolij Zubow; Daniel Camps-Mur; Xavier Pérez Costa; Paolo Favaro (Comput. Networks, 2010)

A closed form solution to robust subspace estimation and clustering. - Paolo Favaro; René Vidal; Avinash Ravichandran (CVPR, 2011)

Fragmented aperture imaging for motion and defocus deblurring. - Manuel Martinello; Paolo Favaro (ICIP, 2011)

Textureless Macula Swelling Detection With Multiple Retinal Fundus Images. - Luca Giancardo; Fabrice Mériaudeau; Thomas P. Karnowski; Kenneth W. Tobin; Enrico Grisan; Paolo Favaro; Alfredo Ruggeri; Edward Chaum (IEEE Trans. Biomed. Eng., 2011)

Image Priors for Image Deblurring with Uncertain Blur. - Daniele Perrone; Avinash Ravichandran; René Vidal; Paolo Favaro (BMVC, 2012)

A closed-form solution to uncalibrated photometric stereo via diffuse maxima. - Paolo Favaro; Thoma Papadhimitri (CVPR, 2012)

The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution. - Tom E. Bishop; Paolo Favaro (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A New Perspective on Uncalibrated Photometric Stereo. - Thoma Papadhimitri; Paolo Favaro (CVPR, 2013)

Sparse representation based action and gesture recognition. - Sushma Bomma; Paolo Favaro; Neil M. Robertson (ICIP, 2013)

Optimising Aperture Shapes for Depth Estimation. - Anita Sellent; Paolo Favaro (VMV, 2013)

Uncalibrated Near-Light Photometric Stereo. - Thoma Papadhimitri; Paolo Favaro (BMVC, 2014)

Total Variation Blind Deconvolution: The Devil Is in the Details. - Daniele Perrone; Paolo Favaro (CVPR, 2014)

Coded Aperture Flow. - Anita Sellent; Paolo Favaro (GCPR, 2014)

Synchronization of Two Independently Moving Cameras without Feature Correspondences. - Tiago Gaspar; Paulo Jorge Ramalho Oliveira; Paolo Favaro (ECCV (1), 2014)

A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method. - Mahdad Hosseini Kamal; Paolo Favaro; Pierre Vandergheynst (EMMCVPR, 2014)

Blind Deconvolution via Lower-Bounded Logarithmic Image Priors. - Daniele Perrone; Remo Diethelm; Paolo Favaro (EMMCVPR, 2014)

Anamorphic pixels for multi-channel superresolution. - Alexander Oberdörster; Paolo Favaro; Hendrik P. A. Lensch (ICCP, 2014)

Which side of the focal plane are you on? - Anita Sellent; Paolo Favaro (ICCP, 2014)

Light Field Blind Deconvolution. - Paramanand Chandramouli; Daniele Perrone; Paolo Favaro (CoRR, 2014)

A Clearer Picture of Blind Deconvolution. - Daniele Perrone; Paolo Favaro (CoRR, 2014)

A Closed-Form, Consistent and Robust Solution to Uncalibrated Photometric Stereo Via Local Diffuse Reflectance Maxima. - Thoma Papadhimitri; Paolo Favaro (Int. J. Comput. Vis., 2014)

Optimized aperture shapes for depth estimation. - Anita Sellent; Paolo Favaro (Pattern Recognit. Lett., 2014)

Low rank subspace clustering (LRSC). - René Vidal; Paolo Favaro (Pattern Recognit. Lett., 2014)

Blind Deconvolution. - Tom E. Bishop; Paolo Favaro (Computer Vision, A Reference Guide, 2014)

AdaBoost. - Paolo Favaro; Andrea Vedaldi (Computer Vision, A Reference Guide, 2014)

Bilayer Blind Deconvolution with the Light Field Camera. - Meiguang Jin; Paramanand Chandramouli; Paolo Favaro (ICCV Workshops, 2015)

Building the View Graph of a Category by Exploiting Image Realism. - Attila Szabó; Andrea Vedaldi; Paolo Favaro (ICCV Workshops, 2015)

ConvNet-Based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images. - Paramanand Chandramouli; Mehdi Noroozi; Paolo Favaro (ACCV (3), 2016)

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles. - Mehdi Noroozi; Paolo Favaro (ECCV (6), 2016)

3D Face Reconstruction with Silhouette Constraints. - Qiyang Hu; Matthias Zwicker; Paolo Favaro (VMV, 2016)

A Logarithmic Image Prior for Blind Deconvolution. - Daniele Perrone; Paolo Favaro (Int. J. Comput. Vis., 2016)

A Clearer Picture of Total Variation Blind Deconvolution. - Daniele Perrone; Paolo Favaro (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Synchronization of Independently Moving Cameras via Motion Recovery. - Tiago Gaspar; Paulo Jorge Ramalho Oliveira; Paolo Favaro (SIAM J. Imaging Sci., 2016)

Noise-Blind Image Deblurring. - Meiguang Jin; Stefan Roth 001; Paolo Favaro (CVPR, 2017)

Motion Deblurring in the Wild. - Mehdi Noroozi; Paramanand Chandramouli; Paolo Favaro (GCPR, 2017)

Representation Learning by Learning to Count. - Mehdi Noroozi; Hamed Pirsiavash; Paolo Favaro (ICCV, 2017)

Deep Mean-Shift Priors for Image Restoration. - Siavash Arjomand Bigdeli; Matthias Zwicker; Paolo Favaro; Meiguang Jin (NIPS, 2017)

SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking. - Tiziano Portenier; Qiyang Hu; Paolo Favaro; Matthias Zwicker (SBIM@Expressive, 2017)

Reflection Separation and Deblurring of Plenoptic Images. - Paramanand Chandramouli; Mehdi Noroozi; Paolo Favaro (CoRR, 2017)

Disentangling Factors of Variation by Mixing Them. - Qiyang Hu; Attila Szabó; Tiziano Portenier; Paolo Favaro; Matthias Zwicker (CVPR, 2018)

Self-Supervised Feature Learning by Learning to Spot Artifacts. - Simon Jenni; Paolo Favaro (CVPR, 2018)

Learning Face Deblurring Fast and Wide. - Meiguang Jin; Michael Hirsch; Paolo Favaro (CVPR Workshops, 2018)

Learning to Extract a Video Sequence From a Single Motion-Blurred Image. - Meiguang Jin; Givi Meishvili; Paolo Favaro (CVPR, 2018)

Boosting Self-Supervised Learning via Knowledge Transfer. - Mehdi Noroozi; Ananth Vinjimoor; Paolo Favaro; Hamed Pirsiavash (CVPR, 2018)

Deep Bilevel Learning. - Simon Jenni; Paolo Favaro (ECCV (10), 2018)

Normalized Blind Deconvolution. - Meiguang Jin; Stefan Roth 001; Paolo Favaro (ECCV (7), 2018)

Understanding Degeneracies and Ambiguities in Attribute Transfer. - Attila Szabó; Qiyang Hu; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (ECCV (5), 2018)

Learning to see through reflections. - Meiguang Jin; Sabine Süsstrunk; Paolo Favaro (ICCP, 2018)

Challenges in Disentangling Independent Factors of Variation. - Attila Szabó; Qiyang Hu; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (ICLR (Workshop), 2018)

Fine-Grained Retrieval with Autoencoders. - Tiziano Portenier; Qiyang Hu; Paolo Favaro; Matthias Zwicker (VISIGRAPP (5: VISAPP), 2018)

Unsupervised 3D Shape Learning from Image Collections in the Wild. - Attila Szabó; Paolo Favaro (CoRR, 2018)

Video Synthesis from a Single Image and Motion Stroke. - Qiyang Hu; Adrian Waelchli; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (CoRR, 2018)

Plenoptic Image Motion Deblurring. - Paramanand Chandramouli; Meiguang Jin; Daniele Perrone; Paolo Favaro (IEEE Trans. Image Process., 2018)

Faceshop: deep sketch-based face image editing. - Tiziano Portenier; Qiyang Hu; Attila Szabó; Siavash Arjomand Bigdeli; Paolo Favaro; Matthias Zwicker (ACM Trans. Graph., 2018)

On Stabilizing Generative Adversarial Training With Noise. - Simon Jenni; Paolo Favaro (CVPR, 2019)

Learning to Extract Flawless Slow Motion From Blurry Videos. - Meiguang Jin; Zhe Hu; Paolo Favaro (CVPR, 2019)

Emergence of Object Segmentation in Perturbed Generative Models. - Adam Bielski; Paolo Favaro (NeurIPS, 2019)

Smart, Deep Copy-Paste. - Tiziano Portenier; Qiyang Hu; Paolo Favaro; Matthias Zwicker (CoRR, 2019)

Unsupervised Generative 3D Shape Learning from Natural Images. - Attila Szabó; Givi Meishvili; Paolo Favaro (CoRR, 2019)

Motion Deblurring of Faces. - Grigorios G. Chrysos; Paolo Favaro; Stefanos Zafeiriou (Int. J. Comput. Vis., 2019)

Self-supervised Multi-view Synchronization Learning for 3D Pose Estimation. - Simon Jenni; Paolo Favaro (ACCV (5), 2020)

Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. - Simon Jenni; Hailin Jin; Paolo Favaro (CVPR, 2020)

Learning to Have an Ear for Face Super-Resolution. - Givi Meishvili; Simon Jenni; Paolo Favaro (CVPR, 2020)

Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling. - Abdelhak Lemkhenter; Paolo Favaro (GCPR, 2020)

Video Representation Learning by Recognizing Temporal Transformations. - Simon Jenni; Givi Meishvili; Paolo Favaro (ECCV (28), 2020)

Temporal dependency in automatic sleep scoring via deep learning based architectures: An empirical study. - Luigi Fiorillo; Michael Wand 002; Italo Marino; Paolo Favaro; Francesca D. Faraci (EMBC, 2020)

Learning to Model and Calibrate Optics Via a Differentiable Wave Optics Simulator. - Josué Page; Paolo Favaro (ICIP, 2020)

Learning to Take Directions One Step at a Time. - Qiyang Hu; Adrian Wälchli; Tiziano Portenier; Matthias Zwicker; Paolo Favaro (ICPR, 2020)

Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images. - Josué Page; Federico Saltarin; Yury Belyaev; Ruth Lyck; Paolo Favaro (CoRR, 2020)

Learning to Deblur and Rotate Motion-Blurred Faces. - Givi Meishvili; Attila Szabó; Simon Jenni; Paolo Favaro (BMVC, 2021)

Real-Time Light Field 3D Microscopy via Sparsity-Driven Learned Deconvolution. - Josué Page Vizcaíno; Zeguan Wang; Panagiotis Symvoulidis; Paolo Favaro; Burcu Guner-Ataman; Edward S. Boyden; Tobias Lasser (ICCP, 2021)

ISD: Self-Supervised Learning by Iterative Similarity Distillation. - Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Vipin Pillai; Paolo Favaro; Hamed Pirsiavash (ICCV, 2021)

A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention. - Tomoki Watanabe; Paolo Favaro (ICML, 2021)

Optical Flow Dataset Synthesis from Unpaired Images. - Adrian Wälchli; Paolo Favaro (CoRR, 2021)

KaFiStO: A Kalman Filtering Framework for Stochastic Optimization. - Aram Davtyan; Sepehr Sameni; Llukman Cerkezi; Givi Meishvili; Adam Bielski; Paolo Favaro (CoRR, 2021)

Generative Adversarial Learning via Kernel Density Discrimination. - Abdelhak Lemkhenter; Adam Bielski; Alp Eren Sari; Paolo Favaro (CoRR, 2021)

DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates. - Luigi Fiorillo; Paolo Favaro; Francesca Dalia Faraci (CoRR, 2021)

Editorial for CVIU_DL for image restoration. - Jinshan Pan; Deqing Sun; Jian Yang 003; Wangmeng Zuo; Paolo Favaro; Yasuyuki Matsushita; Ming-Hsuan Yang 001 (Comput. Vis. Image Underst., 2021)

Learning to Reconstruct Confocal Microscopy Stacks From Single Light Field Images. - Josué Page Vizcaíno; Federico Saltarin; Yury Belyaev; Ruth Lyck; Tobias Lasser; Paolo Favaro (IEEE Trans. Computational Imaging, 2021)

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity. - Aram Davtyan; Sepehr Sameni; Llukman Cerkezi; Givi Meishvili; Adam Bielski; Paolo Favaro (AAAI, 2022)

Controllable Video Generation Through Global and Local Motion Dynamics. - Aram Davtyan; Paolo Favaro (ECCV (17), 2022)

Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning. - Abdelhak Lemkhenter; Paolo Favaro (EMBC, 2022)

MOVE: Unsupervised Movable Object Segmentation and Detection. - Adam Bielski; Paolo Favaro (NeurIPS, 2022)

Semi-supervised Vision Transformers at Scale. - Zhaowei Cai; Avinash Ravichandran; Paolo Favaro; Manchen Wang; Davide Modolo; Rahul Bhotika; Zhuowen Tu; Stefano Soatto (NeurIPS, 2022)

DILEMMA: Self-Supervised Shape and Texture Learning with Transformers. - Sepehr Sameni; Simon Jenni; Paolo Favaro (CoRR, 2022)

Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring. - Luigi Fiorillo; Davide Pedroncelli; Valentina Agostini; Paolo Favaro; Francesca Dalia Faraci (CoRR, 2022)

U-Sleep: resilient to AASM guidelines. - Luigi Fiorillo; Giuliana Monachino; Julia van der Meer; Marco Pesce; Jan D. Warncke; Markus H. Schmidt; Claudio L. A. Bassetti; Athina Tzovara; Paolo Favaro; Francesca D. Faraci (CoRR, 2022)

Randomized Conditional Flow Matching for Video Prediction. - Aram Davtyan; Sepehr Sameni; Paolo Favaro (CoRR, 2022)

Learn to Zoom in Single Image Super-Resolution. - Zili Zhang 002; Paolo Favaro; Yan Tian; Jianxiang Li (IEEE Signal Process. Lett., 2022)

Mouse brain lightfield-confocal stack dataset. - Josué Page; Federico Saltarin; Yury Belyaev; Ruth Lyck; Tobias Lasser; Paolo Favaro (IEEE DataPort, 2022)

Representation Learning by Detecting Incorrect Location Embeddings. - Sepehr Sameni; Simon Jenni; Paolo Favaro (AAAI, 2023)

ScaleDet: A Scalable Multi-Dataset Object Detector. - Yanbei Chen; Manchen Wang; Abhay Mittal; Zhenlin Xu; Paolo Favaro; Joseph Tighe; Davide Modolo (CVPR, 2023)

A Meta-Learning Approach to Predicting Performance and Data Requirements. - Achin Jain; Gurumurthy Swaminathan; Paolo Favaro; Hao Yang 043; Avinash Ravichandran; Hrayr Harutyunyan; Alessandro Achille; Onkar Dabeer; Bernt Schiele; Ashwin Swaminathan; Stefano Soatto (CVPR, 2023)

Efficient Video Prediction via Sparsely Conditioned Flow Matching. - Aram Davtyan; Sepehr Sameni; Paolo Favaro (ICCV, 2023)

Spatio-Temporal Crop Aggregation for Video Representation Learning. - Sepehr Sameni; Simon Jenni; Paolo Favaro (ICCV, 2023)

Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions. - Aram Davtyan; Paolo Favaro (CoRR, 2023)

Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows. - Josué Page Vizcaíno; Panagiotis Symvoulidis; Zeguan Wang; Jonas Jelten; Paolo Favaro; Edward S. Boyden; Tobias Lasser (CoRR, 2023)

Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. - Zhenlin Xu; Yi Zhu; Tiffany Deng; Abhay Mittal; Yanbei Chen; Manchen Wang; Paolo Favaro; Joseph Tighe; Davide Modolo (CoRR, 2023)

Multi-View Unsupervised Image Generation with Cross Attention Guidance. - Llukman Cerkezi; Aram Davtyan; Sepehr Sameni; Paolo Favaro (CoRR, 2023)

U-Sleep's resilience to AASM guidelines. - Luigi Fiorillo; Giuliana Monachino; Julia van der Meer; Marco Pesce; Jan D. Warncke; Markus H. Schmidt; Claudio L. A. Bassetti; Athina Tzovara; Paolo Favaro; Francesca D. Faraci (npj Digit. Medicine, 2023)

Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset. - Josué Page Vizcaíno; Panagiotis Symvoulidis; Zeguan Wang; Jonas Jelten; Paolo Favaro; Edward S. Boyden; Tobias Lasser (Zenodo, 2023)

Sparse 3D Reconstruction via Object-Centric Ray Sampling. - Llukman Cerkezi; Paolo Favaro (3DV, 2024)

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. - Aram Davtyan; Paolo Favaro (AAAI, 2024)

Masked and Shuffled Blind Spot Denoising for Real-World Images. - Hamadi Chihaoui; Paolo Favaro (CVPR, 2024)

SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. - Abdelhak Lemkhenter; Manchen Wang; Luca Zancato; Gurumurthy Swaminathan; Paolo Favaro; Davide Modolo (CVPR Workshops, 2024)

Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. - Zhenlin Xu; Yi Zhu; Siqi Deng; Abhay Mittal; Yanbei Chen; Manchen Wang; Paolo Favaro; Joseph Tighe; Davide Modolo (CVPR Workshops, 2024)

When Self-Supervised Pre-Training Meets Single Image Denoising. - Hamadi Chihaoui; Paolo Favaro (ICIP, 2024)

Blind Image Restoration via Fast Diffusion Inversion. - Hamadi Chihaoui; Abdelhak Lemkhenter; Paolo Favaro (NeurIPS, 2024)

Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. - Zhuoran Yu; Manchen Wang; Yanbei Chen; Paolo Favaro; Davide Modolo (WACV, 2024)

A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D. - Xiaohan Fei; Chethan Parameshwara; Jiawei Mo; Xiaolong Li; Ashwin Swaminathan; CJ Taylor; Paolo Favaro; Stefano Soatto (CoRR, 2024)

Enabling Visual Composition and Animation in Unsupervised Video Generation. - Aram Davtyan; Sepehr Sameni; Björn Ommer; Paolo Favaro (CoRR, 2024)

Two Tricks to Improve Unsupervised Segmentation Learning. - Alp Eren Sari; Francesco Locatello; Paolo Favaro (CoRR, 2024)

Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. - Xiaolong Li; Jiawei Mo; Ying Wang; Chethan Parameshwara; Xiaohan Fei; Ashwin Swaminathan; CJ Taylor; Zhuowen Tu; Paolo Favaro; Stefano Soatto (CoRR, 2024)

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation. - Aram Davtyan; Sepehr Sameni; Björn Ommer; Paolo Favaro (AAAI, 2025)

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. - Mariam Hassan; Sebastian Stapf; Ahmad Rahimi; Pedro M. B. Rezende; Yasaman Haghighi; David Brüggemann; Isinsu Katircioglu; Lin Zhang; Xiaoran Chen; Suman Saha; Marco Cannici; Elie Aljalbout; et al. (CVPR, 2025)

ViDROP: Video Dense Representation through Spatio-Temporal Sparsity. - Sepehr Sameni; Simon Jenni; Paolo Favaro (CVPR Workshops, 2025)

Adapting Dense Matching for Homography Estimation with Grid-based Acceleration. - Kaining Zhang; Yuxin Deng; Jiayi Ma 001; Paolo Favaro (CVPR, 2025)

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling. - Aram Davtyan; Leello Tadesse Dadi; Volkan Cevher; Paolo Favaro (ICLR, 2025)

Unsupervised Real-World Denoising: Sparsity is All You Need. - Hamadi Chihaoui; Paolo Favaro (CoRR, 2025)

Diffusion Image Prior. - Hamadi Chihaoui; Paolo Favaro (CoRR, 2025)

Invert2Restore: Zero-Shot Degradation-Blind Image Restoration. - Hamadi Chihaoui; Paolo Favaro (CoRR, 2025)

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching. - Alp Eren Sari; Paolo Favaro (CoRR, 2025)

KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products. - Zixuan Xia; Aram Davtyan; Paolo Favaro (CoRR, 2025)

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models. - Pablo Acuaviva; Aram Davtyan; Mariam Hassan; Sebastian Stapf; Ahmad Rahimi; Alexandre Alahi; Paolo Favaro (CoRR, 2025)