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ORCIDPaolo Favaro
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- affiliation: University of Bern, Switzerland
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2020 – today
- 2024
[c101]Llukman Cerkezi, Paolo Favaro:
Sparse 3D Reconstruction via Object-Centric Ray Sampling. 3DV 2024: 432-441- [c100]Aram Davtyan, Paolo Favaro:
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. AAAI 2024: 11722-11730 - [c99]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 - [c98]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 - [c97]Hamadi Chihaoui, Paolo Favaro:
Masked and Shuffled Blind Spot Denoising for Real-World Images. CVPR 2024: 3025-3034 - [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 - [i59]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) - [i58]Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro:
Enabling Visual Composition and Animation in Unsupervised Video Generation. CoRR abs/2403.14368 (2024) - [i57]Alp Eren Sari, Francesco Locatello, Paolo Favaro:
Two Tricks to Improve Unsupervised Segmentation Learning. CoRR abs/2404.03392 (2024) - [i56]Hamadi Chihaoui, Paolo Favaro:
Masked and Shuffled Blind Spot Denoising for Real-World Images. CoRR abs/2404.09389 (2024) - [i55]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) - [i54]Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro:
Blind Image Restoration via Fast Diffusion Inversion. CoRR abs/2405.19572 (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]Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro:
ConvNet-Based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images. ACCV (3) 2016: 129-144 - [c53]Mehdi Noroozi, Paolo Favaro:
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles. ECCV (6) 2016: 69-84 - [c52]Qiyang Hu, Matthias Zwicker, Paolo Favaro:
3D Face Reconstruction with Silhouette Constraints. VMV 2016 - [i3]Mehdi Noroozi, Paolo Favaro:
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles. CoRR abs/1603.09246 (2016) - 2015
- [c51]Meiguang Jin, Paramanand Chandramouli, Paolo Favaro:
Bilayer Blind Deconvolution with the Light Field Camera. ICCV Workshops 2015: 208-216 - [c50]Attila Szabó, Andrea Vedaldi, Paolo Favaro:
Building the View Graph of a Category by Exploiting Image Realism. ICCV Workshops 2015: 805-813 - 2014
- [j11]Thoma Papadhimitri, Paolo Favaro:
A Closed-Form, Consistent and Robust Solution to Uncalibrated Photometric Stereo Via Local Diffuse Reflectance Maxima. Int. J. Comput. Vis. 107(2): 139-154 (2014) - [j10]Anita Sellent, Paolo Favaro:
Optimized aperture shapes for depth estimation. Pattern Recognit. Lett. 40: 96-103 (2014) - [j9]René Vidal, Paolo Favaro:
Low rank subspace clustering (LRSC). Pattern Recognit. Lett. 43: 47-61 (2014) - [c49]Thoma Papadhimitri, Paolo Favaro:
Uncalibrated Near-Light Photometric Stereo. BMVC 2014 - [c48]Daniele Perrone, Paolo Favaro:
Total Variation Blind Deconvolution: The Devil Is in the Details. CVPR 2014: 2909-2916 - [c47]Anita Sellent, Paolo Favaro:
Coded Aperture Flow. GCPR 2014: 582-592 - [c46]Tiago Gaspar, Paulo Jorge Ramalho Oliveira, Paolo Favaro:
Synchronization of Two Independently Moving Cameras without Feature Correspondences. ECCV (1) 2014: 189-204 - [c45]Daniele Perrone, Remo Diethelm, Paolo Favaro:
Blind Deconvolution via Lower-Bounded Logarithmic Image Priors. EMMCVPR 2014: 112-125 - [c44]Mahdad Hosseini Kamal, Paolo Favaro, Pierre Vandergheynst:
A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method. EMMCVPR 2014: 350-363 - [c43]Alexander Oberdörster, Paolo Favaro, Hendrik P. A. Lensch:
Anamorphic pixels for multi-channel superresolution. ICCP 2014: 1-10 - [c42]Anita Sellent, Paolo Favaro:
Which side of the focal plane are you on? ICCP 2014: 1-8 - [r2]Paolo Favaro, Andrea Vedaldi:
AdaBoost. Computer Vision, A Reference Guide 2014: 16-19 - [r1]Tom E. Bishop, Paolo Favaro:
Blind Deconvolution. Computer Vision, A Reference Guide 2014: 52-57 - [i2]Paramanand Chandramouli, Daniele Perrone, Paolo Favaro:
Light Field Blind Deconvolution. CoRR abs/1408.3686 (2014) - [i1]Daniele Perrone, Paolo Favaro:
A Clearer Picture of Blind Deconvolution. CoRR abs/1412.0251 (2014) - 2013
- [c41]Thoma Papadhimitri, Paolo Favaro:
A New Perspective on Uncalibrated Photometric Stereo. CVPR 2013: 1474-1481 - [c40]Sushma Bomma, Paolo Favaro, Neil M. Robertson:
Sparse representation based action and gesture recognition. ICIP 2013: 141-145 - [c39]Anita Sellent, Paolo Favaro:
Optimising Aperture Shapes for Depth Estimation. VMV 2013: 219-220 - 2012
- [j8]Tom E. Bishop, Paolo Favaro:
The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 972-986 (2012) - [c38]Daniele Perrone, Avinash Ravichandran, René Vidal, Paolo Favaro:
Image Priors for Image Deblurring with Uncertain Blur. BMVC 2012: 1-11 - [c37]Paolo Favaro, Thoma Papadhimitri:
A closed-form solution to uncalibrated photometric stereo via diffuse maxima. CVPR 2012: 821-828 - 2011
- [j7]Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Kenneth W. Tobin, Enrico Grisan, Paolo Favaro, Alfredo Ruggeri, Edward Chaum:
Textureless Macula Swelling Detection With Multiple Retinal Fundus Images. IEEE Trans. Biomed. Eng. 58(3): 795-799 (2011) - [c36]Paolo Favaro, René Vidal, Avinash Ravichandran:
A closed form solution to robust subspace estimation and clustering. CVPR 2011: 1801-1807 - [c35]Manuel Martinello, Paolo Favaro:
Fragmented aperture imaging for motion and defocus deblurring. ICIP 2011: 3413-3416 - 2010
- [j6]Anatolij Zubow, Daniel Camps-Mur, Xavier Pérez Costa, Paolo Favaro:
Greedy scheduling algorithm (GSA) - Design and evaluation of an efficient and flexible WiMAX OFDMA scheduling solution. Comput. Networks 54(10): 1584-1606 (2010) - [c34]Tom E. Bishop, Paolo Favaro:
Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Field. ACCV (2) 2010: 186-200 - [c33]Avinash Ravichandran, Paolo Favaro, René Vidal:
A Unified Approach to Segmentation and Categorization of Dynamic Textures. ACCV (1) 2010: 425-438 - [c32]Paolo Favaro:
Recovering thin structures via nonlocal-means regularization with application to depth from defocus. CVPR 2010: 1133-1140 - [c31]Manuel Martinello, Paolo Favaro:
Single Image Blind Deconvolution with Higher-Order Texture Statistics. Video Processing and Computational Video 2010: 124-151 - [c30]Manuel Martinello, Tom E. Bishop, Paolo Favaro:
A Bayesian approach to shape from coded aperture. ICIP 2010: 3521-3524 - [c29]Qingxu Dou, Paolo Favaro:
A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter. ICVGIP 2010: 243-250
2000 – 2009
- 2009
- [c28]Tom E. Bishop, Paolo Favaro:
Plenoptic depth estimation from multiple aliased views. ICCV Workshops 2009: 1622-1629 - [c27]Yifei Lou, Paolo Favaro, Stefano Soatto, Andrea L. Bertozzi:
Nonlocal Similarity Image Filtering. ICIAP 2009: 62-71 - 2008
- [j5]Paolo Favaro, Stefano Soatto, Martin Burger, Stanley J. Osher:
Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 518-531 (2008) - [c26]Xavier Pérez Costa, Paolo Favaro, Anatolij Zubow, Daniel Camps-Mur, Julio Aráuz:
On the Challenges for the Maximization of Radio Resources Usage in WiMAX Networks. CCNC 2008: 890-896 - [c25]Qingxu Dou, Paolo Favaro:
Off-axis aperture camera: 3D shape reconstruction and image restoration. CVPR 2008 - [c24]Paolo Favaro, Alessandro Duci:
A theory of defocus via Fourier analysis. CVPR 2008 - 2007
- [b1]Paolo Favaro, Stefano Soatto:
3-D Shape Estimation and Image Restoration - Exploiting Defocus and Motion Blur. Springer 2007, ISBN 978-1-84628-176-1, pp. I-XIV, 1-249 - [c23]Yifei Lou, Paolo Favaro, Andrea L. Bertozzi, Stefano Soatto:
Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. CVPR 2007 - [c22]Paolo Favaro:
Shape from Focus and Defocus: Convexity, Quasiconvexity and Defocus-Invariant Textures. ICCV 2007: 1-7 - [c21]Andrea Vedaldi, Paolo Favaro, Enrico Grisan:
Boosting Invariance and Efficiency in Supervised Learning. ICCV 2007: 1-8 - [c20]René Vidal, Paolo Favaro:
DynamicBoost: Boosting Time Series Generated by Dynamical Systems. ICCV 2007: 1-6 - 2006
- [c19]Paolo Favaro, Enrico Grisan:
Defocus Inpainting. ECCV (2) 2006: 349-359 - 2005
- [j4]Paolo Favaro, Stefano Soatto:
A Geometric Approach to Shape from Defocus. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 406-417 (2005) - [c18]Hailin Jin, Paolo Favaro, Roberto Cipolla:
Visual Tracking in the Presence of Motion Blur. CVPR (2) 2005: 18-25 - [c17]George Vogiatzis, Paolo Favaro, Roberto Cipolla:
Using Frontier Points to Recover Shape, Reflectance and Illumunation. ICCV 2005: 228-235 - [c16]Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano Soatto:
KALMANSAC: Robust Filtering by Consensus. ICCV 2005: 633-640 - 2004
- [c15]Paolo Favaro, Stefano Soatto:
A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues. CVPR (1) 2004: 631-637 - [c14]Paolo Favaro, Martin Burger, Stefano Soatto:
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. ECCV (1) 2004: 257-269 - 2003
- [j3]Paolo Favaro, Andrea Mennucci, Stefano Soatto:
Observing Shape from Defocused Images. Int. J. Comput. Vis. 52(1): 25-43 (2003) - [j2]Hailin Jin, Paolo Favaro, Stefano Soatto:
A semi-direct approach to structure from motion. Vis. Comput. 19(6): 377-394 (2003) - [c13]Paolo Favaro, Stanley J. Osher, Stefano Soatto, Luminita A. Vese:
3D Shape from Anisotropic Diffusion. CVPR (1) 2003: 179-186 - [c12]Paolo Favaro, Stefano Soatto:
Seeing Beyond Occlusions (and other marvels of a finite lens aperture). CVPR (2) 2003: 579-586 - [c11]Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soatto:
On Exploiting Occlusions in Multiple-view Geometry. ICCV 2003: 479-486 - [c10]Gianfranco Doretto, Daniel Cremers, Paolo Favaro, Stefano Soatto:
Dynamic Texture Segmentation. ICCV 2003: 1236-1242 - 2002
- [j1]Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto:
Structure from Motion Causally Integrated Over Time. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 523-535 (2002) - [c9]Hailin Jin, Paolo Favaro:
A Variational Approach to Shape from Defocus. ECCV (2) 2002: 18-30 - [c8]Paolo Favaro, Stefano Soatto:
Learning Shape from Defocus. ECCV (2) 2002: 735-745 - 2001
- [c7]Hailin Jin, Paolo Favaro, Stefano Soatto:
Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination. ICCV 2001: 684-689 - [c6]Paolo Favaro, Hailin Jin, Stefano Soatto:
Real-time Virtual Object Insertion. ICCV 2001: 749 - [c5]Paolo Favaro, Hailin Jin, Stefano Soatto:
A Semi-direct Approach to Structure from Motion. ICIAP 2001: 250-255 - 2000
- [c4]Stefano Soatto, Paolo Favaro:
A Geometric Approach to Blind Deconvolution with Application to Shape from Defocu. CVPR 2000: 2010-2017 - [c3]Hailin Jin, Paolo Favaro, Stefano Soatto:
Real-Time 3-D Motion and Structure of Point-Features: A Front-End for Vision-Based Control and Interaction. CVPR 2000: 2778-2779 - [c2]Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto:
3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation. ECCV (2) 2000: 734-750 - [c1]Paolo Favaro, Stefano Soatto:
Shape and Radiance Estimation from the Information-Divergence of Blurred Images. ECCV (1) 2000: 755-768
Coauthor Index
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