Favaro, Paolo

Page Vizcaíno, Josué; Symvoulidis, Panagiotis; Wang, Zeguan; Jelten, Jonas; Favaro, Paolo; Boyden, Edward S; Lasser, Tobias (2024). Fast light-field 3D microscopy with out-of-distribution detection and adaptation through conditional normalizing flows. Biomedical optics express, 15(2), pp. 1219-1232. Optical Society of America 10.1364/BOE.504039

Cerkezi, Llukman; Favaro, Paolo (2024). Sparse 3D Reconstruction via Object-Centric Ray Sampling. In: International Conference on 3D Vision (3DV).

Fiorillo, Luigi; Pedroncelli, Davide; Agostini, Valentina; Favaro, Paolo; Faraci, Francesca Dalia (2023). Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring. Sleep, 46(5) Oxford University Press 10.1093/sleep/zsad028

Fiorillo, Luigi; Monachino, Giuliana; van der Meer, Julia; Pesce, Marco; Warncke, Jan D; Schmidt, Markus H; Bassetti, Claudio L. A.; Tzovara, Athina; Favaro, Paolo; Faraci, Francesca D (2023). U-Sleep's resilience to AASM guidelines. NPJ digital medicine, 6(1), p. 33. Nature Publishing Group 10.1038/s41746-023-00784-0

Sameni, Sepehr; Jenni, Simon; Favaro, Paolo (2023). Spatio-Temporal Crop Aggregation for Video Representation Learning. In: International Conference on Computer Vision.

Davtyan, Aram; Sameni, Sepehr; Favaro, Paolo (2023). Efficient Video Prediction via Sparsely Conditioned Flow Matching. In: International Conference on Computer Vision.

Sameni, Sepehr; Jenni, Simon; Favaro, Paolo (2023). Representation learning by detecting incorrect location embeddings. In: AAAI Conference on Artificial Intelligence.

Chen, Yanbei; Wang, Manchen; Mittal, Abhay; Xu, Zhenlin; Favaro, Paolo; Tighe, Joseph; Modolo, Davide (2023). ScaleDet: A Scalable Multi-Dataset Object Detector. In: International Conference on Computer Vision and Pattern Recognition.

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

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

Tejankar, Ajinkya; Koohpayegani, Soroush Abbasi; Pillai, Vipin; Favaro, Paolo; Pirsiavash, Hamed (October 2021). ISD: Self-Supervised Learning by Iterative Similarity Distillation. International Conference on Computer Vision, pp. 9589-9598. IEEE 10.1109/ICCV48922.2021.00947

Vizcaino, Josue Page; Wang, Zeguan; Symvoulidis, Panagiotis; Favaro, Paolo; Guner-Ataman, Burcu; Boyden, Edward S.; Lasser, Tobias (May 2021). Real-Time Light Field 3D Microscopy via Sparsity-Driven Learned Deconvolution. IEEE Xplore, pp. 1-11. IEEE 10.1109/ICCP51581.2021.9466256

Lemkhenter, Abdelhak; Favaro, Paolo (2021). Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling. In: Akata, Zeynep; Geiger, Andreas; Sattler, Torsten (eds.) German Conference on Pattern Recognition DAGM-GCPR 2020. Lecture Notes in Computer Science: Vol. 12544 (pp. 72-85). Springer 10.1007/978-3-030-71278-5_6

Vizcaino, Josue Page; Saltarin, Federico; Belyaev, Yury; Lyck, Ruth; Lasser, Tobias; Favaro, Paolo (2021). Learning to Reconstruct Confocal Microscopy Stacks From Single Light Field Images. IEEE transactions on computational imaging, 7, pp. 775-788. IEEE 10.1109/TCI.2021.3097611

Meishvili, Givi; Szabo, Atilla; Jenni, Simon; Favaro, Paolo (2021). Learning to Deblur and Rotate Motion-Blurred Faces. In: The British Machine Vision Conference (BMVC). Proceedings. BMVA

Fiorillo, Luigi; Favaro, Paolo; Faraci, Francesca Dalia (2021). DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates. IEEE transactions on neural systems and rehabilitation engineering, 29, pp. 2076-2085. IEEE 10.1109/TNSRE.2021.3117970

Watanabe, Tomoki; Favaro, Paolo (2021). A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention. Proceedings of machine learning research, 139, pp. 11024-11034. PMLR

Meishvili, Givi; Jenni, Simon; Favaro, Paolo (2020). Learning to Have an Ear for Face Super-Resolution. In: Conference on Computer Vision and Pattern Recognition.

Poge, Josue; Favaro, Paolo (2020). LEARNING TO MODEL AND CALIBRATE OPTICS VIA A DIFFERENTIABLE WAVE OPTICS SIMULATOR. In: International Conference on Image Processing. 25-28 Oct. 2020. 10.1109/ICIP40778.2020.9190870

Hu, Qiyang; Wälchli, Adrian; Portenier, Tiziano; Zwicker, Matthias; Favaro, Paolo (2020). Learning to Take Directions One Step at a Time. In: International Conference on Pattern Recognition.

Jenni, Simon; Favaro, Paolo (2020). Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation. In: Asian Conference on Computer Vision.

Jenni, Simon; Jin, Hailin; Favaro, Paolo (2020). Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. In: Conference on Computer Vision and Pattern Recognition.

Fiorillo, Luigi; Wand, Michael; Marino, Italo; Favaro, Paolo; Faraci, Francesca D. (2020). Temporal dependency in automatic sleep scoring via deep learning based architectures: An empirical study. In: 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3509-3512). IEEE

Jenni, Simon; Meishvili, Givi; Favaro, Paolo (2020). Video Representation Learning by Recognizing Temporal Transformations. In: Vedaldi, Andrea; Bischof, Horst; Brox, Thomas; Frahm, Jan-Michael (eds.) European Conference on Computer Vision. Lecture Notes in Computer Science: Vol. 12373 (pp. 425-442). Springer 10.1007/978-3-030-58604-1_26

Fiorillo, Luigi; Puiatti, Alessandro; Papandrea, Michela; Ratti, Pietro-Luca; Favaro, Paolo; Roth, Corinne; Bargiotas, Panagiotis; Bassetti, Claudio L.; Faraci, Francesca D (2019). Automated sleep scoring: A review of the latest approaches. Sleep medicine reviews, 48, p. 101204. Elsevier 10.1016/j.smrv.2019.07.007

Bielski, Adam; Favaro, Paolo (December 2019). Emergence of Object Segmentation in Perturbed Generative Models. Advances in Neural Information Processing Systems (NIPS), 32. MIT Press

Jonas, Stefan; Rossetti, Andrea O; Oddo, Mauro; Jenni, Simon; Favaro, Paolo; Zubler, Frederic (2019). EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features. Human brain mapping, 40(16), pp. 4606-4617. Wiley-Blackwell 10.1002/hbm.24724

Jin, Meiguang; Hu, Zhe; Favaro, Paolo (June 2019). Learning to Extract Flawless Slow Motion from Blurry Videos. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE Computer Society

Jenni, Simon; Favaro, Paolo (June 2019). On Stabilizing Generative Adversarial Training with Noise. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE Computer Society

Chrysos, Grigorios; Favaro, Paolo; Zafeiriou, Stefanos (2018). Motion Deblurring of Faces. International journal of computer vision, 127(6-7), pp. 801-823. Springer 10.1007/s11263-018-1138-7

Jin, Meiguang; Roth, Stefan; Favaro, Paolo (September 2018). Normalized Blind Deconvolution. In: European Conference on Computer Vision 2018. Munich, Germany. Sep. 8 - Sep. 14, 2018.

Szabo, Attila; Hu, Qiyang; Portenier, Tiziano; Zwicker, Matthias; Favaro, Paolo (September 2018). Understanding Degeneracies and Ambiguities in Attribute Transfer. In: European Conference on Computer Vision 2018. Munich, Germany. Sep. 8 - Sep. 14, 2018.

Jenni, Simon; Favaro, Paolo (September 2018). Deep Bilevel Learning. In: European Conference on Computer Vision 2018. Munich, Germany. Sep. 8 - Sep. 14, 2018.

Portenier, Tiziano; Hu, Qiyang; Szabo, Attila; Arjomand, Siavash; Favaro, Paolo; Zwicker, Matthias (2018). FaceShop: Deep Sketch-based Image Editing. ACM transactions on graphics, 37(4), pp. 1-13. Association for Computing Machinery 10.1145/3197517.3201393

Jenni, Simon; Favaro, Paolo (June 2018). Self-Supervised Feature Learning by Learning to Spot Artifacts. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, Utah, United States. June 18 - June 22, 2018.

Noroozi, Mehdi; Vinjimoor, Ananth; Favaro, Paolo; Pirsiavash, Hamed (June 2018). Boosting Self-Supervised Learning via Knowledge Transfer. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, Utah, United States. June 18 - June 22, 2018.

Jin, Meiguang; Meishvili, Givi; Favaro, Paolo (June 2018). Learning to Extract a Video Sequence from a Single Motion-Blurred Image. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, Utah, United States. June 18 - June 22, 2018.

Hu, Qiyang; Szabo, Attila; Portenier, Tiziano; Favaro, Paolo; Zwicker, Matthias (June 2018). Disentangling Factors of Variation by Mixing Them. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, Utah, United States. June 18 - June 22, 2018.

Jin, Meiguang; Hirsch, Michael; Favaro, Paolo (June 2018). Learning Face Deblurring Fast and Wide. In: New Trends in Image Restoration and Enhancement workshop, Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, Utah, United States. June 18, 2018.

Jin, Meiguang; Süsstrunk, Sabine; Favaro, Paolo (May 2018). Learning to See through Reflections. In: IEEE International Conference on Computational Photography 2018. Pittsburgh, PA, United States. May 4 - May 6, 2018. 10.1109/ICCPHOT.2018.8368464

Szabo, Attila; Hu, Qiyang; Portenier, Tiziano; Zwicker, Matthias; Favaro, Paolo (April 2018). Challenges in Disentangling Independent Factors of Variation (arXiv). Cornell University

Chandramouli, Paramanand; Jin, Meiguang; Perrone, Daniele; Favaro, Paolo (2018). Plenoptic Image Motion Deblurring. IEEE transactions on image processing, 27(4), pp. 1723-1734. IEEE 10.1109/TIP.2017.2775062

Portenier, Tiziano; Hu, Qiyang; Favaro, Paolo; Zwicker, Matthias (January 2018). Fine-Grained Retrieval with Autoencoders. In: 13th International Conference on Computer Vision Theory and Applications. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018): Vol. 5 (pp. 85-95). SCITEPRESS 10.5220/0006602100850095

Arjomand, Siavash; Jin, Meiguang; Favaro, Paolo; Zwicker, Matthias (2017). Deep Mean-Shift Priors for Image Restoration. In: Advances in Neural Information Processing Systems 2017. Long Beach, CA, USA. December 4-9.

Noroozi, Mehdi; Chandramouli, Paramanand; Favaro, Paolo (2017). Motion Deblurring in the Wild. In: Roth, Volker; Vetter, Thomas (eds.) German Conference on Pattern Recognition 2017. Lecture Notes in Computer Science: Vol. 10496 (pp. 65-77). Springer

Jin, Meiguang; Roth, Stefan; Favaro, Paolo (2017). Noise-blind image deblurring. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3834-3842). IEEE 10.1109/CVPR.2017.408

Noroozi, Mehdi; Pirsiavash, Hamed; Favaro, Paolo (2017). Representation Learning by Learning to Count. In: 2017 IEEE International Conference on Computer Vision (ICCV). IEEE

Portenier, Tiziano; Hu, Qiyang; Favaro, Paolo; Zwicker, Matthias (2017). SmartSketcher: Sketch-based Image Retrieval with Dynamic Semantic Re-ranking. In: EXPRESSIVE 2017 (pp. 1-12). ACM 10.1145/3092907.3092910

Hu, Qiyang; Zwicker, Matthias; Favaro, Paolo (2016). 3D Face Reconstruction with Silhouette Constraints. Vision, Modeling and Visualization. The Eurographics Association 10.2312/vmv.20161340

Gaspar, Tiago; Oliveira, Paulo; Favaro, Paolo (2016). Synchronization of Independently Moving Cameras via Motion Recovery. SIAM Journal on Imaging Sciences, 9(3), pp. 869-900. SIAM 10.1137/15M1035367

Chandramouli, Paramanand; Noroozi, Mehdi; Favaro, Paolo (2016). ConvNet-based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images. In: Lai, SH.; Lepetit, V.; Nishino, K.; Sato, Y. (eds.) Asian Conference on Computer Vision. ACCV 2016. Taipei, Taiwan. 20.-24.11.2016. 10.1007/978-3-319-54187-7_9

Noroozi, Mehdi; Favaro, Paolo (2016). Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles. In: Leibe, B.; Matas, J.; Sebe, N.; Welling, M. (eds.) European Conference on Computer Vision (ECCV). Lecture Notes in Computer Science: Vol. 9910 (pp. 69-84). Springer 10.1007/978-3-319-46466-4_5

Szabo, Attila; Vedaldi, Andrea; Favaro, Paolo (December 2015). Building the View Graph of a Category by Exploiting Image Realism. In: IEEE International Conference on Computer Vision Workshop (ICCVW). 07.-13.12.2015. 10.1109/ICCVW.2015.109

Jin, Meiguang; Chandramouli, Paramanand; Favaro, Paolo (December 2015). Bilayer Blind Deconvolution with the Light Field Camera. In: IEEE International Conference on Computer Vision Workshop (ICCVW). 07.-13.12.2015. 10.1109/ICCVW.2015.36

Perrone, Daniele; Favaro, Paolo (2015). A Logarithmic Image Prior for Blind Deconvolution. International journal of computer vision, 117(2), pp. 159-172. Springer 10.1007/s11263-015-0857-2

Perrone, Daniele; Favaro, Paolo (2015). A Clearer Picture of Total Variation Blind Deconvolution. IEEE transactions on pattern analysis and machine intelligence, 38(6), pp. 1041-1055. IEEE Computer Society 10.1109/TPAMI.2015.2477819

Mahdad, Hosseini Kamal; Favaro, Paolo; Pierre, Vandergheynst (January 2015). A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method. Lecture notes in computer science, 8932, pp. 350-363. Springer 10.1007/978-3-319-14612-6_26

Perrone, Daniele; Diethelm, Remo; Favaro, Paolo (2015). Blind Deconvolution via Lower-Bounded Logarithmic Image Priors. In: Energy Minimization Methods in Computer Vision and Pattern Recognition - Proceedings of the 10th International Conference, EMMCVPR 2015. Lecture Notes in Computer Science: Vol. 8932 (pp. 112-125). Springer 10.1007/978-3-319-14612-6_9

Sellent, Anita; Favaro, Paolo (15 October 2014). Coded Aperture Flow. In: 36th German Conference, GCPR 2014. Lecture Notes in Computer Science: Vol. 8753 (pp. 582-592). Springer International Publishing 10.1007/978-3-319-11752-2_48

Papadhimitri, Thoma; Favaro, Paolo (September 2014). Uncalibrated Near-Light Photometric Stereo. In: Proceedings of the British Machine Vision Conference. BMVA Press

Vidal, René; Favaro, Paolo (2014). Low rank subspace clustering (LRSC). Pattern recognition letters, 43, pp. 47-61. Elsevier 10.1016/j.patrec.2013.08.006

Papadhimitri, Thoma; Favaro, Paolo (2014). A Closed-Form, Consistent and Robust Solution to Uncalibrated Photometric Stereo Via Local Diffuse Reflectance Maxima. International journal of computer vision, 107(2), pp. 139-154. Springer 10.1007/s11263-013-0665-5

Tiago, Gaspar; Paulo, Oliveira; Favaro, Paolo (2014). Synchronization of two independently moving cameras without feature correspondences. In: Fleet, David; Pajdla, Tomas; Schiele, Bernt; Tuytelaars, Tinne (eds.) Computer Vision – ECCV 2014. Lecture Notes in Computer Science: Vol. 8689 (pp. 189-204). Switzerland: Springer International Publishing 10.1007/978-3-319-10590-1_13

Perrone, Daniele; Favaro, Paolo (2014). Total Variation Blind Deconvolution: The Devil Is in the Details. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2909-2916). IEEE 10.1109/CVPR.2014.372

Oberdörster, Alexander; Favaro, Paolo; Lensch, P. A. Hendrik (2014). Anamorphic pixels for multi-channel superresolution. In: 2014 IEEE International Conference on Computational Photography (ICCP) (pp. 1-10). IEEE 10.1109/ICCPHOT.2014.6831805

Sellent, Anita; Favaro, Paolo (2014). Which side of the focal plane are you on? In: 2014 IEEE International Conference on Computational Photography (ICCP) (pp. 1-8). IEEE 10.1109/ICCPHOT.2014.6831818

Sellent, Anita; Favaro, Paolo (2014). Optimized aperture shapes for depth estimation. Pattern recognition letters, 40, pp. 96-103. Elsevier 10.1016/j.patrec.2013.12.019

Bomma, Sushma; Favaro, Paolo; Robertson, Neil (2013). Sparse representation based action and gesture recognition. In: 20th IEEE International Conference on Image Processing (ICIP) (pp. 141-145). IEEE 10.1109/ICIP.2013.6738030

Papadhimitri, Thoma; Favaro, Paolo (2013). A New Perspective on Uncalibrated Photometric Stereo. In: Computer Vision and Pattern Recognition (CVPR) (pp. 1474-1481). Computer Vision Foundation

Sellent, Anita; Favaro, Paolo (2013). Optimising Aperture Shapes for Depth Estimation. In: Bronstein, Michael M.; Favre, Jean; Hormann, Kai (eds.) VMV (18th International Workshop on Vision, Modeling and Visualization) (pp. 219-220). Eurographics Association 10.2312/PE.VMV.VMV13.219-220

Perrone, Daniele; Humphreys, David; Lamb, Robert A.; Favaro, Paolo (2012). Evaluation of image deblurring methods via a classification metric. In: Kamerman, Gary W.; Steinvall, Ove; Bishop, Gary J.; Gonglewski, John; Lewis, Keith L.; Hollins, Richard C.; Merlet, Thomas J.; Gruneisen, Mark T.; Dusek, Miloslav; Rarity, John G. (eds.) Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI. Proceedings of SPIE: Vol. 8542 (p. 854215). Bellingham: SPIE 10.1117/12.979199

Favaro, Paolo (2012). A split-sensor light field camera for extended depth of field and superresolution. In: Schelkens, Peter; Ebrahimi, Touradj; Cristóbal, Gabriel; Truchetet, Frédéric; Saarikko, Pasi (eds.) Optics, Photonics, and Digital Technologies for Multimedia Applications II. Proceedings of SPIE: Vol. 8436 (p. 843602). Bellingham: SPIE 10.1117/12.924927

Martinello, Manuel; Favaro, Paolo (2011). Single Image Blind Deconvolution with Higher-Order Texture Statistics. In: Video Processing and Computational Video. Lecture Notes in Computer Science: Vol. 7082 (pp. 124-151). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-24870-2_6

Martinello, Manuel; Favaro, Paolo (2011). Fragmented aperture imaging for motion and defocus deblurring. In: 2011 18th IEEE International Conference on Image Processing (ICIP 2011) (pp. 3413-3416). IEEE 10.1109/ICIP.2011.6116444

Favaro, Paolo; Vidal, Rene; Ravichandran, Avinash (2011). A closed form solution to robust subspace estimation and clustering. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1801-1807). IEEE 10.1109/CVPR.2011.5995365

Giancardo, L; Meriaudeau, F; Karnowski, T P; Tobin, Kenneth W; Grisan, E; Favaro, Paolo; Ruggeri, A; Chaum, E (2011). Textureless macula swelling detection with multiple retinal fundus images. IEEE transactions on biomedical engineering, 58(3), pp. 795-799. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2010.2095852

Ravichandran, Avinash; Favaro, Paolo; Vidal, René (2011). A Unified Approach to Segmentation and Categorization of Dynamic Textures. In: Computer Vision – ACCV 2010. Lecture Notes in Computer Science: Vol. 6492 (pp. 425-438). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-19315-6_33

Bishop, Tom E.; Favaro, Paolo (2011). Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Field. In: Computer Vision – ACCV 2010. Lecture Notes in Computer Science: Vol. 6493 (pp. 186-200). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-19309-5_15

Dou, Qingxu; Favaro, Paolo (2010). A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter. In: the Seventh Indian Conference (pp. 243-250). New York, New York, USA: ACM Press 10.1145/1924559.1924592

Favaro, Paolo (2010). Recovering thin structures via nonlocal-means regularization with application to depth from defocus. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1133-1140). IEEE 10.1109/CVPR.2010.5540089

Martinello, Manuel; Bishop, Tom E.; Favaro, Paolo (2010). A Bayesian approach to shape from coded aperture. In: 17th IEEE International Conference on Image Processing (pp. 3521-3524). IEEE 10.1109/ICIP.2010.5653070

Bishop, Tom E.; Favaro, Paolo (2009). Plenoptic depth estimation from multiple aliased views. In: 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops (pp. 1622-1629). IEEE 10.1109/ICCVW.2009.5457420

Lou, Yifei; Favaro, Paolo; Soatto, Stefano; Bertozzi, Andrea (2009). Nonlocal Similarity Image Filtering. In: Image Analysis and Processing – ICIAP 2009. Lecture Notes in Computer Science: Vol. 5716 (pp. 62-71). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-04146-4_9

Bishop, Tom E.; Zanetti, Sara; Favaro, Paolo (2009). Light field superresolution. In: 2009 IEEE International Conference on Computational Photography (ICCP 2009) (pp. 1-9). IEEE 10.1109/ICCPHOT.2009.5559010

Favaro, Paolo; Soatto, Stefano; Burger, Martin; Osher, Stanley J (2008). Shape from defocus via diffusion. IEEE transactions on pattern analysis and machine intelligence, 30(3), pp. 518-531. IEEE Computer Society 10.1109/TPAMI.2007.1175

Favaro, Paolo; Duci, Alessandro (2008). A theory of defocus via Fourier analysis. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1-8). IEEE 10.1109/CVPR.2008.4587412

Dou, Qingxu; Favaro, Paolo (2008). Off-axis aperture camera: 3D shape reconstruction and image restoration. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1-7). IEEE 10.1109/CVPR.2008.4587693

Favaro, Paolo; Soatto, Stefano (2007). 3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur (In Press). Springer 10.1007/978-1-84628-688-9

Favaro, Paolo (2007). Shape from Focus and Defocus: Convexity, Quasiconvexity and Defocus-Invariant Textures. In: 11th International Conference on Computer Vision (pp. 1-7). IEEE 10.1109/ICCV.2007.4409024

Vedaldi, Andrea; Favaro, Paolo; Grisan, Enrico (2007). Boosting Invariance and Efficiency in Supervised Learning. IEEE International Conference on Computer Vision, pp. 1-8. IEEE 10.1109/ICCV.2007.4408840

Vidal, Rene; Favaro, Paolo (2007). DynamicBoost: Boosting Time Series Generated by Dynamical Systems. IEEE International Conference on Computer Vision, pp. 1-6. IEEE 10.1109/ICCV.2007.4408847

Lou, Yifei; Favaro, Paolo; Bertozzi, Andrea L.; Soatto, Stefano (2007). Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1-8. IEEE 10.1109/CVPR.2007.383210

Martinello, Manuel; Favaro, Paolo; Muyo Nieto, G D; Harvey, A R; Grisan, E; Scarpa, F; Ruggeri, A (2007). 3-D retinal surface inference: stereo or monocular fundus camera? IEEE Engineering in Medicine and Biology Society conference proceedings, 2007, pp. 896-899. IEEE Service Center 10.1109/IEMBS.2007.4352435

Favaro, Paolo; Grisan, Enrico (2006). Defocus Inpainting. In: Leonardis, A; Bischof, H; Pinz, A (eds.) Computer Vision – ECCV 2006. Lecture Notes in Computer Science: Vol. 3952 (pp. 349-359). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/11744047_27

Favaro, Paolo; Soatto, Stefano (2005). A geometric approach to shape from defocus. IEEE transactions on pattern analysis and machine intelligence, 27(3), pp. 406-417. IEEE Computer Society 10.1109/TPAMI.2005.43

Vogiatzis, George; Favaro, Paolo; Cipolla, Roberto (2005). Using frontier points to recover shape, reflectance and illumination. IEEE International Conference on Computer Vision, Vol. 1, 228-235 Vol. 1. IEEE 10.1109/ICCV.2005.244

Vedaldi, Andrea; Jin, Hailin; Favaro, Paolo; Soatto, Stefano (2005). KALMANSAC: robust filtering by consensus. IEEE International Conference on Computer Vision, 633-640 Vol. 1. IEEE 10.1109/ICCV.2005.130

Jin, Hailin; Favaro, Paolo; Cipolla, Roberto (2005). Visual Tracking in the Presence of Motion Blur. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, pp. 18-25. IEEE 10.1109/CVPR.2005.372

Favaro, Paolo; Soatto, Stefano (2004). A variational approach to scene reconstruction and image segmentation from motion-blur cues. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, pp. 631-637. IEEE 10.1109/CVPR.2004.1315091

Favaro, Paolo; Burger, Martin; Soatto, Stefano (2004). Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. In: Pajdla, Tomas; Matas, Jiri (eds.) Computer Vision - ECCV 2004. Lecture Notes in Computer Science: Vol. 3021 (pp. 257-269). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-540-24670-1_20

Favaro, Paolo; Soatto, Stefano (2003). Shape and Radiance Estimation from the Information Divergence of Blurred Images. In: Computer Vision - ECCV 2000. Lecture Notes in Computer Science: Vol. 1842 (pp. 755-768). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/3-540-45054-8_49

Favaro, Paolo; Mennucci, Andrea; Soatto, Stefano (2003). Observing Shape from Defocused Images. International Journal of Computer Vision, 52(1), pp. 25-43. Kluwer Academic Publishers 10.1023/A:1022366408068

Jin, Hailin; Favaro, Paolo; Soatto, Stefano (2003). A semi-direct approach to structure from motion. The Visual Computer, 19(6), pp. 377-394. Springer 10.1007/s00371-003-0202-6

Favaro, Paolo; Duci, Alessandro; Ma, Yi; Soatto, Stefano (2003). On exploiting occlusions in multiple-view geometry. In: 9th International Conference on Computer Vision (479-486 vol.1). IEEE 10.1109/ICCV.2003.1238386

Doretto, Gianfranco; Cremers, Daniel; Favaro, Paolo; Soatto, Stefano (2003). Dynamic texture segmentation. In: 9th International Conference on Computer Vision (1236-1242 vol.2). IEEE 10.1109/ICCV.2003.1238632

Favaro, Paolo; Osher, S.; Soatto, S.; Vese, L. (2003). 3D shape from anisotropic diffusion. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, I-179-I-186. IEEE 10.1109/CVPR.2003.1211352

Favaro, Paolo; Soatto, Stefano (2003). Seeing beyond occlusions (and other marvels of a finite lens aperture). IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, II-579-II-586. IEEE 10.1109/CVPR.2003.1211519

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Jin, Hailin; Favaro, Paolo; Saotto, Stefano (2000). Real-time 3D motion and structure of point features: a front-end system for vision-based control and interaction. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, 778-779 vol.2. IEEE 10.1109/CVPR.2000.854954