Self-Supervised Feature Learning by Learning to Spot Artifacts

Simon Jenni , Paolo Favaro
computer vision and pattern recognition 2733 -2742

117
2018
Disentangling Factors of Variation by Mixing Them

Matthias Zwicker , Qiyang Hu , Attila Szabo , Tiziano Portenier
computer vision and pattern recognition 3399 -3407

45
2018
Boosting Self-Supervised Learning via Knowledge Transfer

Mehdi Noroozi , Ananth Vinjimoor , Paolo Favaro , Hamed Pirsiavash
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 9359 -9367

279
2018
Learning to Extract Flawless Slow Motion From Blurry Videos

Meiguang Jin , Zhe Hu , Paolo Favaro
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 8112 -8121

17
2019
A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter

Qingxu Dou , Paolo Favaro
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing - ICVGIP '10 243 -250

2010
DynamicBoost: Boosting Time Series Generated by Dynamical Systems

Rene Vidal , Paolo Favaro
international conference on computer vision 1 -6

18
2007
Boosting Invariance and Efficiency in Supervised Learning

Andrea Vedaldi , Paolo Favaro , Enrico Grisan
international conference on computer vision 1 -8

8
2007
Shape from Focus and Defocus: Convexity, Quasiconvexity and Defocus-Invariant Textures

Paolo Favaro
international conference on computer vision 1 -7

14
2007
Total Variation Blind Deconvolution: The Devil Is in the Details

Daniele Perrone , Paolo Favaro
computer vision and pattern recognition 2909 -2916

294
2014
A New Perspective on Uncalibrated Photometric Stereo

Thoma Papadhimitri , Paolo Favaro
computer vision and pattern recognition 1474 -1481

54
2013
Full-resolution depth map estimation from an aliased plenoptic light field

Tom E. Bishop , Paolo Favaro
asian conference on computer vision 186 -200

144
2010
A unified approach to segmentation and categorization of dynamic textures

Avinash Ravichandran , Paolo Favaro , René Vidal
asian conference on computer vision 425 -438

17
2010
Low rank subspace clustering (LRSC)

René Vidal , Paolo Favaro
Pattern Recognition Letters 43 47 -61

449
2014
Optimized aperture shapes for depth estimation

Anita Sellent , Paolo Favaro
Pattern Recognition Letters 40 96 -103

15
2014
SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking

Tiziano Portenier , Qiyang Hu , Paolo Favaro , Matthias Zwicker
sketch based interfaces and modeling 1

3
2017
Defocus inpainting

Paolo Favaro , Enrico Grisan
european conference on computer vision 349 -359

5
2006
Shape and Radiance Estimation from the Information-Divergence of Blurred Images

Paolo Favaro , Stefano Soatto
european conference on computer vision 755 -768

21
2000
Learning Face Deblurring Fast and Wide

Meiguang Jin , Michael Hirsch , Paolo Favaro
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 745 -753

19
2018
Representation Learning by Learning to Count

Mehdi Noroozi , Hamed Pirsiavash , Paolo Favaro
international conference on computer vision 5899 -5907

361
2017
Plenoptic depth estimation from multiple aliased views

Tom E. Bishop , Paolo Favaro
international conference on computer vision 1622 -1629

72
2009