Paolo Favaro

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 114

Top Venues

Publications

Llukman Cerkezi, Paolo Favaro
Sparse 3D Reconstruction via Object-Centric Ray Sampling. 3DV (2024)
Xiaohan Fei, Chethan Parameshwara, Jiawei Mo, Xiaolong Li, Ashwin Swaminathan, CJ Taylor, Paolo Favaro, Stefano Soatto
A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D. CoRR (2024)
Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, Stefano Soatto
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. CoRR (2024)
Hamadi Chihaoui, Paolo Favaro
Masked and Shuffled Blind Spot Denoising for Real-World Images. CoRR (2024)
Aram Davtyan, Paolo Favaro
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. AAAI (2024)
Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. WACV (2024)
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
Blind Image Restoration via Fast Diffusion Inversion. CoRR (2024)
Alp Eren Sari, Francesco Locatello, Paolo Favaro
Two Tricks to Improve Unsupervised Segmentation Learning. CoRR (2024)
Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro
Enabling Visual Composition and Animation in Unsupervised Video Generation. CoRR (2024)
Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR (2023)
Aram Davtyan, Paolo Favaro
Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions. CoRR (2023)
Sepehr Sameni, Simon Jenni, Paolo Favaro
Representation Learning by Detecting Incorrect Location Embeddings. AAAI (2023)
Sepehr Sameni, Simon Jenni, Paolo Favaro
Spatio-Temporal Crop Aggregation for Video Representation Learning. ICCV (2023)
Aram Davtyan, Sepehr Sameni, Paolo Favaro
Efficient Video Prediction via Sparsely Conditioned Flow Matching. ICCV (2023)
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
U-Sleep's resilience to AASM guidelines. npj Digit. Medicine 6 (2023)
Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. CoRR (2023)
Llukman Cerkezi, Aram Davtyan, Sepehr Sameni, Paolo Favaro
Multi-View Unsupervised Image Generation with Cross Attention Guidance. CoRR (2023)
Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CoRR (2023)
Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo
Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. CoRR (2023)
Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR (2023)
Josué Page Vizcaíno, Panagiotis Symvoulidis, Zeguan Wang, Jonas Jelten, Paolo Favaro, Edward S. Boyden, Tobias Lasser
Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows. CoRR (2023)
Llukman Cerkezi, Paolo Favaro
Sparse 3D Reconstruction via Object-Centric Ray Sampling. CoRR (2023)
Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR (2023)
Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR (2023)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. NeurIPS (2022)
Abdelhak Lemkhenter, Paolo Favaro
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning. CoRR (2022)
Luigi Fiorillo, Davide Pedroncelli, Valentina Agostini, Paolo Favaro, Francesca Dalia Faraci
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring. CoRR (2022)
Aram Davtyan, Paolo Favaro
Controllable Video Generation through Global and Local Motion Dynamics. CoRR (2022)
Abdelhak Lemkhenter, Paolo Favaro
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning. EMBC (2022)
Zili Zhang, Paolo Favaro, Yan Tian, Jianxiang Li
Learn to Zoom in Single Image Super-Resolution. IEEE Signal Process. Lett. 29 (2022)
Adam Bielski, Paolo Favaro
MOVE: Unsupervised Movable Object Segmentation and Detection. NeurIPS (2022)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. CoRR (2022)
Aram Davtyan, Paolo Favaro
Controllable Video Generation Through Global and Local Motion Dynamics. ECCV (17) (2022)
Sepehr Sameni, Simon Jenni, Paolo Favaro
Spatio-Temporal Crop Aggregation for Video Representation Learning. CoRR (2022)
Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity. AAAI (2022)
Aram Davtyan, Sepehr Sameni, Paolo Favaro
Randomized Conditional Flow Matching for Video Prediction. CoRR (2022)
Sepehr Sameni, Simon Jenni, Paolo Favaro
DILEMMA: Self-Supervised Shape and Texture Learning with Transformers. CoRR (2022)
Adam Bielski, Paolo Favaro
MOVE: Unsupervised Movable Object Segmentation and Detection. CoRR (2022)
Luigi Fiorillo, Giuliana Monachino, Julia van der Meer, Marco Pesce, Jan Warncke, Markus H. Schmidt, Claudio L. A. Bassetti, Athina Tzovara, Paolo Favaro, Francesca D. Faraci
U-Sleep: resilient to AASM guidelines. CoRR (2022)
Tomoki Watanabe, Paolo Favaro
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention. ICML (2021)
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
ISD: Self-Supervised Learning by Iterative Similarity Distillation. ICCV (2021)
Givi Meishvili, Attila Szabó, Simon Jenni, Paolo Favaro
Learning to Deblur and Rotate Motion-Blurred Faces. BMVC (2021)
Luigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates. CoRR (2021)
Givi Meishvili, Attila Szabó, Simon Jenni, Paolo Favaro
Learning to Deblur and Rotate Motion-Blurred Faces. CoRR (2021)
Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro
KaFiStO: A Kalman Filtering Framework for Stochastic Optimization. CoRR (2021)
Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari, Paolo Favaro
Generative Adversarial Learning via Kernel Density Discrimination. CoRR (2021)
Josué Page Vizcaíno, Zeguan Wang, Panagiotis Symvoulidis, Paolo Favaro, Burcu Guner-Ataman, Edward S. Boyden, Tobias Lasser
Real-Time Light Field 3D Microscopy via Sparsity-Driven Learned Deconvolution. ICCP (2021)
Adrian Wälchli, Paolo Favaro
Optical Flow Dataset Synthesis from Unpaired Images. CoRR (2021)
Josué Page Vizcaíno, Federico Saltarin, Yury Belyaev, Ruth Lyck, Tobias Lasser, Paolo Favaro
Learning to Reconstruct Confocal Microscopy Stacks From Single Light Field Images. IEEE Trans. Computational Imaging 7 (2021)
Jinshan Pan, Deqing Sun, Jian Yang, Wangmeng Zuo, Paolo Favaro, Yasuyuki Matsushita, Ming-Hsuan Yang
Editorial for CVIU_DL for image restoration. Comput. Vis. Image Underst. (2021)
Tomoki Watanabe, Paolo Favaro
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention. CoRR (2021)
Simon Jenni, Paolo Favaro
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation. CoRR (2020)
Abdelhak Lemkhenter, Paolo Favaro
Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling. GCPR (2020)
Josué Page, Paolo Favaro
Learning to Model and Calibrate Optics via a Differentiable Wave Optics Simulator. CoRR (2020)
Givi Meishvili, Simon Jenni, Paolo Favaro
Learning to Have an Ear for Face Super-Resolution. CVPR (2020)
Josué Page, Paolo Favaro
Learning to Model and Calibrate Optics Via a Differentiable Wave Optics Simulator. ICIP (2020)
Simon Jenni, Hailin Jin, Paolo Favaro
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. CoRR (2020)
Simon Jenni, Givi Meishvili, Paolo Favaro
Video Representation Learning by Recognizing Temporal Transformations. CoRR (2020)
Simon Jenni, Paolo Favaro
Self-supervised Multi-view Synchronization Learning for 3D Pose Estimation. ACCV (5) (2020)
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
ISD: Self-Supervised Learning by Iterative Similarity Distillation. CoRR (2020)
Simon Jenni, Hailin Jin, Paolo Favaro
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. CVPR (2020)
Josué Page, Federico Saltarin, Yury Belyaev, Ruth Lyck, Paolo Favaro
Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images. CoRR (2020)
Luigi Fiorillo, Michael Wand, Italo Marino, Paolo Favaro, Francesca D. Faraci
Temporal dependency in automatic sleep scoring via deep learning based architectures: An empirical study. EMBC (2020)
Qiyang Hu, Adrian Wälchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
Learning to Take Directions One Step at a Time. ICPR (2020)
Simon Jenni, Givi Meishvili, Paolo Favaro
Video Representation Learning by Recognizing Temporal Transformations. ECCV (28) (2020)
Abdelhak Lemkhenter, Paolo Favaro
Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling. CoRR (2020)
Adam Bielski, Paolo Favaro
Emergence of Object Segmentation in Perturbed Generative Models. NeurIPS (2019)
Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker
Smart, Deep Copy-Paste. CoRR (2019)
Givi Meishvili, Simon Jenni, Paolo Favaro
Learning to Have an Ear for Face Super-Resolution. CoRR (2019)
Simon Jenni, Paolo Favaro
On Stabilizing Generative Adversarial Training With Noise. CVPR (2019)
Simon Jenni, Paolo Favaro
On Stabilizing Generative Adversarial Training with Noise. CoRR (2019)
Meiguang Jin, Zhe Hu, Paolo Favaro
Learning to Extract Flawless Slow Motion From Blurry Videos. CVPR (2019)
Attila Szabó, Givi Meishvili, Paolo Favaro
Unsupervised Generative 3D Shape Learning from Natural Images. CoRR (2019)
Grigorios G. Chrysos, Paolo Favaro, Stefanos Zafeiriou
Motion Deblurring of Faces. Int. J. Comput. Vis. 127 (6-7) (2019)
Adam Bielski, Paolo Favaro
Emergence of Object Segmentation in Perturbed Generative Models. CoRR (2019)
Meiguang Jin, Givi Meishvili, Paolo Favaro
Learning to Extract a Video Sequence from a Single Motion-Blurred Image. CoRR (2018)
Simon Jenni, Paolo Favaro
Deep Bilevel Learning. ECCV (10) (2018)
Meiguang Jin, Stefan Roth, Paolo Favaro
Normalized Blind Deconvolution. ECCV (7) (2018)
Simon Jenni, Paolo Favaro
Self-Supervised Feature Learning by Learning to Spot Artifacts. CoRR (2018)
Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, Matthias Zwicker
Disentangling Factors of Variation by Mixing Them. CVPR (2018)
Grigorios G. Chrysos, Paolo Favaro, Stefanos Zafeiriou
Motion deblurring of faces. CoRR (2018)
Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash
Boosting Self-Supervised Learning via Knowledge Transfer. CoRR (2018)
Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
Challenges in Disentangling Independent Factors of Variation. ICLR (Workshop) (2018)
Simon Jenni, Paolo Favaro
Deep Bilevel Learning. CoRR (2018)
Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker
Faceshop: deep sketch-based face image editing. ACM Trans. Graph. 37 (4) (2018)
Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker
Fine-Grained Retrieval with Autoencoders. VISIGRAPP (5: VISAPP) (2018)
Meiguang Jin, Sabine Süsstrunk, Paolo Favaro
Learning to see through reflections. ICCP (2018)
Attila Szabó, Paolo Favaro
Unsupervised 3D Shape Learning from Image Collections in the Wild. CoRR (2018)
Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
Understanding Degeneracies and Ambiguities in Attribute Transfer. ECCV (5) (2018)
Meiguang Jin, Givi Meishvili, Paolo Favaro
Learning to Extract a Video Sequence From a Single Motion-Blurred Image. CVPR (2018)
Meiguang Jin, Michael Hirsch, Paolo Favaro
Learning Face Deblurring Fast and Wide. CVPR Workshops (2018)
Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker
FaceShop: Deep Sketch-based Face Image Editing. CoRR (2018)
Qiyang Hu, Adrian Waelchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
Video Synthesis from a Single Image and Motion Stroke. CoRR (2018)
Paramanand Chandramouli, Meiguang Jin, Daniele Perrone, Paolo Favaro
Plenoptic Image Motion Deblurring. IEEE Trans. Image Process. 27 (4) (2018)
Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash
Boosting Self-Supervised Learning via Knowledge Transfer. CVPR (2018)
Simon Jenni, Paolo Favaro
Self-Supervised Feature Learning by Learning to Spot Artifacts. CVPR (2018)
Meiguang Jin, Stefan Roth, Paolo Favaro
Noise-Blind Image Deblurring. CVPR (2017)
Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker
SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking. SBIM@Expressive (2017)
Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
Representation Learning by Learning to Count. CoRR (2017)
Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
Challenges in Disentangling Independent Factors of Variation. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paolo Favaro