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Paolo Favaro
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- affiliation: University of Bern, Switzerland
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2020 – today
- 2024
- [c102]Llukman Cerkezi, Paolo Favaro:
Sparse 3D Reconstruction via Object-Centric Ray Sampling. 3DV 2024: 432-441 - [c101]Aram Davtyan, Paolo Favaro:
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. AAAI 2024: 11722-11730 - [c100]Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo:
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. CVPR Workshops 2024: 1827-1836 - [c99]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. CVPR Workshops 2024: 2576-2585 - [c98]Hamadi Chihaoui, Paolo Favaro:
Masked and Shuffled Blind Spot Denoising for Real-World Images. CVPR 2024: 3025-3034 - [c97]Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro:
Blind Image Restoration via Fast Diffusion Inversion. NeurIPS 2024 - [c96]Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo:
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. WACV 2024: 6268-6277 - [i60]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 abs/2402.18780 (2024) - [i59]Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro:
Enabling Visual Composition and Animation in Unsupervised Video Generation. CoRR abs/2403.14368 (2024) - [i58]Alp Eren Sari, Francesco Locatello, Paolo Favaro:
Two Tricks to Improve Unsupervised Segmentation Learning. CoRR abs/2404.03392 (2024) - [i57]Hamadi Chihaoui, Paolo Favaro:
Masked and Shuffled Blind Spot Denoising for Real-World Images. CoRR abs/2404.09389 (2024) - [i56]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 abs/2404.18065 (2024) - [i55]Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro:
Blind Image Restoration via Fast Diffusion Inversion. CoRR abs/2405.19572 (2024) - [i54]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, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi:
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CoRR abs/2412.11198 (2024) - 2023
- [j21]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) - [c95]Sepehr Sameni, Simon Jenni, Paolo Favaro:
Representation Learning by Detecting Incorrect Location Embeddings. AAAI 2023: 9704-9713 - [c94]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: 3623-3632 - [c93]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR 2023: 7288-7297 - [c92]Sepehr Sameni, Simon Jenni, Paolo Favaro:
Spatio-Temporal Crop Aggregation for Video Representation Learning. ICCV 2023: 5641-5651 - [c91]Aram Davtyan
, Sepehr Sameni, Paolo Favaro:
Efficient Video Prediction via Sparsely Conditioned Flow Matching. ICCV 2023: 23206-23217 - [d2]Josué Page Vizcaíno
, Panagiotis Symvoulidis
, Zeguan Wang
, Jonas Jelten
, Paolo Favaro
, Edward S. Boyden
, Tobias Lasser
:
Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset. Zenodo, 2023 - [i53]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 abs/2303.01598 (2023) - [i52]Aram Davtyan, Paolo Favaro:
Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions. CoRR abs/2306.03988 (2023) - [i51]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR abs/2306.04849 (2023) - [i50]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 abs/2306.06408 (2023) - [i49]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 abs/2306.16048 (2023) - [i48]Llukman Cerkezi, Paolo Favaro:
Sparse 3D Reconstruction via Object-Centric Ray Sampling. CoRR abs/2309.03008 (2023) - [i47]Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo:
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. CoRR abs/2310.00099 (2023) - [i46]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 abs/2311.01646 (2023) - [i45]Llukman Cerkezi, Aram Davtyan, Sepehr Sameni, Paolo Favaro:
Multi-View Unsupervised Image Generation with Cross Attention Guidance. CoRR abs/2312.04337 (2023) - 2022
- [j20]Zili Zhang
, Paolo Favaro
, Yan Tian
, Jianxiang Li
:
Learn to Zoom in Single Image Super-Resolution. IEEE Signal Process. Lett. 29: 1237-1241 (2022) - [c90]Aram Davtyan
, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro:
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity. AAAI 2022: 6471-6479 - [c89]Aram Davtyan
, Paolo Favaro
:
Controllable Video Generation Through Global and Local Motion Dynamics. ECCV (17) 2022: 68-84 - [c88]Abdelhak Lemkhenter, Paolo Favaro:
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning. EMBC 2022: 2961-2966 - [c87]Adam Bielski, Paolo Favaro:
MOVE: Unsupervised Movable Object Segmentation and Detection. NeurIPS 2022 - [c86]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. NeurIPS 2022 - [d1]Josué Page
, Federico Saltarin
, Yury Belyaev
, Ruth Lyck
, Tobias Lasser
, Paolo Favaro
:
Mouse brain lightfield-confocal stack dataset. IEEE DataPort, 2022 - [i44]Sepehr Sameni, Simon Jenni, Paolo Favaro:
DILEMMA: Self-Supervised Shape and Texture Learning with Transformers. CoRR abs/2204.04788 (2022) - [i43]Aram Davtyan, Paolo Favaro:
Controllable Video Generation through Global and Local Motion Dynamics. CoRR abs/2204.06558 (2022) - [i42]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 abs/2207.01910 (2022) - [i41]Abdelhak Lemkhenter, Paolo Favaro:
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning. CoRR abs/2207.13801 (2022) - [i40]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - [i39]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: resilient to AASM guidelines. CoRR abs/2209.11173 (2022) - [i38]Adam Bielski, Paolo Favaro:
MOVE: Unsupervised Movable Object Segmentation and Detection. CoRR abs/2210.07920 (2022) - [i37]Aram Davtyan, Sepehr Sameni, Paolo Favaro:
Randomized Conditional Flow Matching for Video Prediction. CoRR abs/2211.14575 (2022) - [i36]Sepehr Sameni, Simon Jenni, Paolo Favaro:
Spatio-Temporal Crop Aggregation for Video Representation Learning. CoRR abs/2211.17042 (2022) - 2021
- [j19]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. 208-209: 103222 (2021) - [j18]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: 775-788 (2021) - [c85]Givi Meishvili, Attila Szabó, Simon Jenni, Paolo Favaro:
Learning to Deblur and Rotate Motion-Blurred Faces. BMVC 2021: 402 - [c84]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: 1-11 - [c83]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash:
ISD: Self-Supervised Learning by Iterative Similarity Distillation. ICCV 2021: 9589-9598 - [c82]Tomoki Watanabe, Paolo Favaro:
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention. ICML 2021: 11024-11034 - [i35]Adrian Wälchli, Paolo Favaro:
Optical Flow Dataset Synthesis from Unpaired Images. CoRR abs/2104.02615 (2021) - [i34]Tomoki Watanabe, Paolo Favaro:
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention. CoRR abs/2106.09914 (2021) - [i33]Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro:
KaFiStO: A Kalman Filtering Framework for Stochastic Optimization. CoRR abs/2107.03331 (2021) - [i32]Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari, Paolo Favaro:
Generative Adversarial Learning via Kernel Density Discrimination. CoRR abs/2107.06197 (2021) - [i31]Luigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci:
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates. CoRR abs/2108.10600 (2021) - [i30]Givi Meishvili, Attila Szabó, Simon Jenni, Paolo Favaro:
Learning to Deblur and Rotate Motion-Blurred Faces. CoRR abs/2112.07599 (2021) - 2020
- [c81]Simon Jenni
, Paolo Favaro
:
Self-supervised Multi-view Synchronization Learning for 3D Pose Estimation. ACCV (5) 2020: 170-187 - [c80]Givi Meishvili, Simon Jenni, Paolo Favaro:
Learning to Have an Ear for Face Super-Resolution. CVPR 2020: 1361-1371 - [c79]Simon Jenni, Hailin Jin, Paolo Favaro:
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. CVPR 2020: 6407-6416 - [c78]Abdelhak Lemkhenter
, Paolo Favaro
:
Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling. GCPR 2020: 72-85 - [c77]Simon Jenni
, Givi Meishvili
, Paolo Favaro
:
Video Representation Learning by Recognizing Temporal Transformations. ECCV (28) 2020: 425-442 - [c76]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: 3509-3512 - [c75]Josué Page, Paolo Favaro:
Learning to Model and Calibrate Optics Via a Differentiable Wave Optics Simulator. ICIP 2020: 2995-2999 - [c74]Qiyang Hu, Adrian Wälchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Learning to Take Directions One Step at a Time. ICPR 2020: 739-746 - [i29]Josué Page, Federico Saltarin, Yury Belyaev
, Ruth Lyck, Paolo Favaro:
Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images. CoRR abs/2003.11004 (2020) - [i28]Simon Jenni, Hailin Jin, Paolo Favaro:
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. CoRR abs/2004.02331 (2020) - [i27]Josué Page, Paolo Favaro:
Learning to Model and Calibrate Optics via a Differentiable Wave Optics Simulator. CoRR abs/2005.08562 (2020) - [i26]Simon Jenni, Givi Meishvili, Paolo Favaro:
Video Representation Learning by Recognizing Temporal Transformations. CoRR abs/2007.10730 (2020) - [i25]Abdelhak Lemkhenter, Paolo Favaro:
Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling. CoRR abs/2009.07664 (2020) - [i24]Simon Jenni, Paolo Favaro:
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation. CoRR abs/2010.06218 (2020) - [i23]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash:
ISD: Self-Supervised Learning by Iterative Similarity Distillation. CoRR abs/2012.09259 (2020)
2010 – 2019
- 2019
- [j17]Grigorios G. Chrysos
, Paolo Favaro, Stefanos Zafeiriou:
Motion Deblurring of Faces. Int. J. Comput. Vis. 127(6-7): 801-823 (2019) - [c73]Meiguang Jin, Zhe Hu, Paolo Favaro:
Learning to Extract Flawless Slow Motion From Blurry Videos. CVPR 2019: 8112-8121 - [c72]Simon Jenni, Paolo Favaro:
On Stabilizing Generative Adversarial Training With Noise. CVPR 2019: 12145-12153 - [c71]Adam Bielski, Paolo Favaro:
Emergence of Object Segmentation in Perturbed Generative Models. NeurIPS 2019: 7254-7264 - [i22]Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker:
Smart, Deep Copy-Paste. CoRR abs/1903.06763 (2019) - [i21]Adam Bielski, Paolo Favaro:
Emergence of Object Segmentation in Perturbed Generative Models. CoRR abs/1905.12663 (2019) - [i20]Simon Jenni, Paolo Favaro:
On Stabilizing Generative Adversarial Training with Noise. CoRR abs/1906.04612 (2019) - [i19]Givi Meishvili, Simon Jenni, Paolo Favaro:
Learning to Have an Ear for Face Super-Resolution. CoRR abs/1909.12780 (2019) - [i18]Attila Szabó
, Givi Meishvili
, Paolo Favaro:
Unsupervised Generative 3D Shape Learning from Natural Images. CoRR abs/1910.00287 (2019) - 2018
- [j16]Paramanand Chandramouli
, Meiguang Jin, Daniele Perrone, Paolo Favaro:
Plenoptic Image Motion Deblurring. IEEE Trans. Image Process. 27(4): 1723-1734 (2018) - [j15]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): 99 (2018) - [c70]Meiguang Jin, Michael Hirsch, Paolo Favaro:
Learning Face Deblurring Fast and Wide. CVPR Workshops 2018: 745-753 - [c69]Simon Jenni, Paolo Favaro:
Self-Supervised Feature Learning by Learning to Spot Artifacts. CVPR 2018: 2733-2742 - [c68]Qiyang Hu, Attila Szabó
, Tiziano Portenier, Paolo Favaro, Matthias Zwicker:
Disentangling Factors of Variation by Mixing Them. CVPR 2018: 3399-3407 - [c67]Meiguang Jin, Givi Meishvili, Paolo Favaro:
Learning to Extract a Video Sequence From a Single Motion-Blurred Image. CVPR 2018: 6334-6342 - [c66]Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash:
Boosting Self-Supervised Learning via Knowledge Transfer. CVPR 2018: 9359-9367 - [c65]Simon Jenni
, Paolo Favaro
:
Deep Bilevel Learning. ECCV (10) 2018: 632-648 - [c64]Meiguang Jin
, Stefan Roth
, Paolo Favaro
:
Normalized Blind Deconvolution. ECCV (7) 2018: 694-711 - [c63]Attila Szabó
, Qiyang Hu
, Tiziano Portenier
, Matthias Zwicker
, Paolo Favaro
:
Understanding Degeneracies and Ambiguities in Attribute Transfer. ECCV (5) 2018: 721-736 - [c62]Meiguang Jin, Sabine Süsstrunk, Paolo Favaro:
Learning to see through reflections. ICCP 2018: 1-12 - [c61]Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Challenges in Disentangling Independent Factors of Variation. ICLR (Workshop) 2018 - [c60]Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker:
Fine-Grained Retrieval with Autoencoders. VISIGRAPP (5: VISAPP) 2018: 85-95 - [i17]Grigorios G. Chrysos, Paolo Favaro, Stefanos Zafeiriou:
Motion deblurring of faces. CoRR abs/1803.03330 (2018) - [i16]Meiguang Jin, Givi Meishvili, Paolo Favaro:
Learning to Extract a Video Sequence from a Single Motion-Blurred Image. CoRR abs/1804.04065 (2018) - [i15]Tiziano Portenier, Qiyang Hu, Attila Szabó
, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker:
FaceShop: Deep Sketch-based Face Image Editing. CoRR abs/1804.08972 (2018) - [i14]Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash:
Boosting Self-Supervised Learning via Knowledge Transfer. CoRR abs/1805.00385 (2018) - [i13]Simon Jenni, Paolo Favaro:
Self-Supervised Feature Learning by Learning to Spot Artifacts. CoRR abs/1806.05024 (2018) - [i12]Simon Jenni, Paolo Favaro:
Deep Bilevel Learning. CoRR abs/1809.01465 (2018) - [i11]Attila Szabó
, Paolo Favaro:
Unsupervised 3D Shape Learning from Image Collections in the Wild. CoRR abs/1811.10519 (2018) - [i10]Qiyang Hu, Adrian Waelchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Video Synthesis from a Single Image and Motion Stroke. CoRR abs/1812.01874 (2018) - 2017
- [c59]Meiguang Jin, Stefan Roth, Paolo Favaro:
Noise-Blind Image Deblurring. CVPR 2017: 3834-3842 - [c58]Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro:
Motion Deblurring in the Wild. GCPR 2017: 65-77 - [c57]Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro:
Representation Learning by Learning to Count. ICCV 2017: 5899-5907 - [c56]Siavash Arjomand Bigdeli, Matthias Zwicker, Paolo Favaro, Meiguang Jin:
Deep Mean-Shift Priors for Image Restoration. NIPS 2017: 763-772 - [c55]Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker:
SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking. SBIM@Expressive 2017: 1:1-1:12 - [i9]Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro:
Motion Deblurring in the Wild. CoRR abs/1701.01486 (2017) - [i8]Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro:
Representation Learning by Learning to Count. CoRR abs/1708.06734 (2017) - [i7]Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro:
Reflection Separation and Deblurring of Plenoptic Images. CoRR abs/1708.06779 (2017) - [i6]Siavash Arjomand Bigdeli, Meiguang Jin, Paolo Favaro, Matthias Zwicker:
Deep Mean-Shift Priors for Image Restoration. CoRR abs/1709.03749 (2017) - [i5]Attila Szabó
, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Challenges in Disentangling Independent Factors of Variation. CoRR abs/1711.02245 (2017) - [i4]Qiyang Hu, Attila Szabó, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Disentangling Factors of Variation by Mixing Them. CoRR abs/1711.07410 (2017) - 2016
- [j14]Daniele Perrone, Paolo Favaro:
A Logarithmic Image Prior for Blind Deconvolution. Int. J. Comput. Vis. 117(2): 159-172 (2016) - [j13]Daniele Perrone, Paolo Favaro:
A Clearer Picture of Total Variation Blind Deconvolution. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1041-1055 (2016) - [j12]Tiago Gaspar, Paulo Jorge Ramalho Oliveira
, Paolo Favaro:
Synchronization of Independently Moving Cameras via Motion Recovery. SIAM J. Imaging Sci. 9(3): 869-900 (2016) - [c54]