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van Maren, Ellen; Alnes, Sigurd L; Ramos da Cruz, Janir; Sobolewski, Aleksander; Friedrichs-Maeder, Cecilia; Wohler, Katharina; Barlatey, Sabry L; Feruglio, Sandy; Fuchs, Markus; Vlachos, Ioannis; Zimmermann, Jonas; Bertolote, Tiago; Z'Graggen, Werner J; Tzovara, Athina; Donoghue, John; Kouvas, George; Schindler, Kaspar; Pollo, Claudio; Baud, Maxime O (2024). Feasibility, Safety, and Performance of Full-Head Subscalp EEG Using Minimally Invasive Electrode Implantation. Neurology, 102(12) American Academy of Neurology 10.1212/WNL.0000000000209428
Bielski, Adam Jakub (2024). Unsupervised Object Segmentation with Generative Models (Submitted). (Dissertation)
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
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.
Lemkhenter, Abdelhak (2023). Novel Techniques for Robust and Generalizable Machine Learning (Submitted). (Dissertation)
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.
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
Jenni, Simon (2021). Learning Generalizable Visual Patterns Without Human Supervision (Unpublished). (Dissertation, Philosophisch-naturwissenschaftliche Fakultät)
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
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
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
Hu, Qiyang (2019). Learning Controllable Representations for Image Synthesis. (Dissertation, Universität Bern, Philosophisch-naturwissenschaftliche Fakultät)
Szabo, Attila (2019). Learning Interpretable Representations of Images. (Dissertation, Universität Bern, Philosophisch-naturwissenschaftliche Fakultät)
Noroozi, Mehdi (2019). Beyond Supervised Representation Learning. (Dissertation, Universität Bern, Philosophisch-naturwissenschaftliche Fakultät)
Jin, Meiguang (2018). Motion Deblurring from a Single Image. (Dissertation, University of Bern)
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
Perrone, Daniele (2015). Towards a Novel Paradigm in Blind Deconvolution: From Natural to Cartooned Image Statistics. (Dissertation, Universität Bern, Institut für Informatik, Philosophisch-naturwissenschaftliche Fakultät)
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
Papadhimitri, Thoma (2014). New perspectives on uncalibrated photometric stereo. (Dissertation, Universität Bern, Institut für Informatik, Philosophisch-naturwissenschaftliche Fakultät)
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
Bishop, T.E.; Favaro, P. (2012). The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution. IEEE transactions on pattern analysis and machine intelligence, 34(5), pp. 972-986. Los Alamitos, Calif.: IEEE Computer Society 10.1109/TPAMI.2011.168
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, P.; Papadhimitri, T. (2012). A Closed-Form Solution to Uncalibrated Photometric Stereo via Diffuse Maxima. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 821-828). Washington, DC: IEEE Computer Society
Perrone, D.; Ravichandran, A.; Vidal, R.; Favaro, P. (2012). Image Priors for Image Deblurring with Uncertain Blur. In: Bowden, Richard; Collomosse, John; Mikolajczyk, Krystian (eds.) Proceedings of the British Machine Vision Conference (pp. 1-11). BMVA The British Machine Vision Association and Society for Pattern Recognition
Martinello, M.; Favaro, P. (2012). Depth estimation from a video sequence with moving and deformable objects. In: Poroceedings of the IET Conference on Image Processing (pp. 1-6). IET The Institution of Engineering and Technology
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
Chiuso, Alessandro; Favaro, Paolo; Jin, Hailin; Soatto, Stefano (2002). Structure from motion causally integrated over time. IEEE transactions on pattern analysis and machine intelligence, 24(4), pp. 523-535. IEEE Computer Society 10.1109/34.993559
Favaro, Paolo; Soatto, Stefano (2002). Learning Shape from Defocus. In: Computer Vision — ECCV 2002. Lecture Notes in Computer Science: Vol. 2351 (pp. 735-745). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/3-540-47967-8_49
Jin, Hailin; Favaro, Paolo (2002). A Variational Approach to Shape from Defocus. In: Computer Vision — ECCV 2002. Lecture Notes in Computer Science: Vol. 2351 (pp. 18-30). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/3-540-47967-8_2
Favaro, Paolo; Jin, Hailin; Soatto, Stefano (2001). Real-time virtual object insertion. In: Eighth IEEE International Conference on Computer Vision 2 (p. 749). IEEE Comput. Soc 10.1109/ICCV.2001.937711
Jin, Hailin; Favaro, Paolo; Soatto, Stefano (2001). Real-time feature tracking and outlier rejection with changes in illumination. In: Eighth IEEE International Conference on Computer Vision 1 (pp. 684-689). IEEE Comput. Soc 10.1109/ICCV.2001.937588
Chiuso, Alessandro; Favaro, Paolo; Jin, Hailin; Soatto, Stefano (2000). 3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation. In: Computer Vision -- ECCV 2000. Lecture Notes in Computer Science: Vol. 1843 (pp. 734-750). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/3-540-45053-X_47
Soatto, Stefano; Favaro, Paolo (2000). A geometric approach to blind deconvolution with application to shape from defocus. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, pp. 10-17. IEEE 10.1109/CVPR.2000.854725
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
