Publications
2022 (6)Lazcano V, Calderero F, Ballester C. Biased-Infinity Laplacian Applied to Depth Completion Using a Balanced Anisotropic Metric. Lecture Notes in Electrical Engineering 2022; 878( ): 1048-1055. |
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Cartas A, Ballester C, Haro G. A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification. In: Rainer L,Thomas BM, Hideo S. Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports. 1 ed. Association for Computing Machinery; 2022. p. 93-102. |
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Sanchez-Ortega M, Ballester C, Raad L, Ramon E, Triginer G. Photorealistic Facial Wrinkles Removal. In: AA. VV.. Proceedings The 16th Asian Conference on Computer Vision (ACCV2022). 1 ed. Macao: Asian Federation of Computer Vision.; 2022. |
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Ballester C, Bugeau A, Carrillo H, Clément M, Giraud R, Raad L, Vitoria P. Analysis of Different Losses for Deep Learning Image Colorization. arXiv preprint: 2204.02980v3; 2022. |
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Ballester C, Bugeau A, Hurault S, Parisotto S, Vitoria P. An Analysis of Generative Methods for Multiple Image Inpainting. arXiv preprint:2205.02146v1; 2022. |
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Ballester C, Bugeau A, Carrillo H, Clément M, Giraud R, Raad L, Vitoria P. Influence of Color Spaces for Deep Learning Image Colorizatio. arXiv preprint: 2204.02850v1; 2022. |
2021 (8)Lazcano V, Calderero F, Ballester C. Comparing different metrics on an anisotropic depth completion model. Journal of Hybrid Intelligent Systems 2021; ( ): 1-13. |
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Batard T, Haro G, Ballester C. DIP-VBTV: A Color Image Restoration Model combining a Deep Image Prior and a Vector Bundle Total Variation. Journal of Imaging Science 2021; 14(4): 1816-1847. |
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Arbués-Sangüesa A, Martín A, Fernández J, Haro G, Ballester C. Towards Soccer Pass Feasibility Maps: the Role of Players' Orientation. Journal of Sports Sciences 2021; 39(24): 2772-2785. |
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Ballester C, Bugeau A, Carrillo H, Clément M, Giraud R, Raad L, Vitoria P. Influence of Color Spaces and Analysis of Different Losses for Deep Learning Image Colorization. In: Chen K, Schönlieb CB, Tai XC, Younces L (eds.). Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. 1 ed. Springer; 2021. p. 1-31. |
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Arbués-Sangüesa A, Martín A, Granero P, Ballester C, Haro G. Learning Football Body-Orientation as a Matter of Classification. In: AA. VV.. 30th International Joint Conference on Artificial Intelligence (IJCAI-21). 1 ed. Montreal: IJCAI; 2021. p. 1-8. |
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Arbués-Sangüesa A, Haro G, Ballester C. Towards Video Summarization: A Temporal Multimodal Method for Action Spotting in Sports Videos. In: AA. VV.. Proceedings IROS Workshop: Egocentric vision for interactive perception, learning, and control - online- (EgoVIP 2021). 1 ed. Spanish Network of Machine Learning and Computer Vision for Human Analysis and Robotic Perception (ReAViPeRo). Spanish Ministerio de Ciencia e Innovación (RED2018-102511-T); 2021. p. 1-3. |
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Parisotto S, Vitoria P, Ballester C, Bugeau A, Reynolds S, Schönlieb CB. The Art of Inpainting: A Monograph on Mathematical Methods for the Virtual Restoration of Illuminated Manuscripts (in proofreading). 1 ed. Mach Team; 2021. |
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Parisotto S, Vitoria P, Ballester C, Bugeau A, Reynolds S, Schönlieb CB. The Art of Inapainting: A Monograph on Mathematical Methods for the Virtual Restoration of Illuminated Manuscripts.. ILUMINA Matlab application; 2021. |
2020 (8)Raad L, Oliver M, Ballester C, Haro G, Meinhardt-Llopis E. On anisotropic optical flow inpainting algorithms. Image Processing On Line 2020; 10( ): 78-104. |
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Vitoria P, Sintes J, Ballester C. Semantic Image Completion Through an Adversarial Strategy. In: Cláudio AP, Bouatouch K. Chessa M, Paljic A. Kerren A, Hurter C, Tremeau, A, Farinella, GM (eds.). Computer Vision, Imaging and Computer Graphics Theory and Applications. 1 ed. Springer; 2020. p. 520-542. |
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Chatillon P, Ballester C. History-based anomaly detector: an adversarial approach to anomaly detection. In: Arai K, Bhatia R, Kapoor S (eds.). Intelligent Systems and Applications Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1. 1 ed. Springer; 2020. p. 761-776. |
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Arbues-Sanguesa A, Martín A, Fernández J, Ballester C, Haro G. Using Player's Body-Orientation to Model Pass Feasibility in Soccer. In: AA.VV.. Proceedings 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1 ed. Seattle: The Institute of Electrical and Electronics Engineers (IEEE); 2020. p. 886-887. |
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Arbués-Sangüesa A, Martín A, Fernández J, Rodríguez C, Haro G, Ballester C. Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players. In: -. Proceedings Congrès ICIP 2020. 1 ed. ICIP; 2020. p. 1506-1510. |
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Lazcano V, Calderero F, Ballester C. Depth Image Completion Using Anisotropic Operators. In: Abraham A, Ohsawa Y, Gandhi N, Jabbar MA, Haqiq A, McLoone S, Issac B (eds.) Biju Issac. Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). 1 ed. Springer; 2020. p. 593-604. |
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Vitoria P, Raad L, Ballester C. ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution. In: --. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1 ed. arXiv.org; 2020. p. 2445-2454. |
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Hurault S, Ballester C, Haro G. Self-Supervised Small Soccer Player Detection and Tracking. In: -. Proceedings of the International ACM Work shop on Multimedia Content Analysis in Sports. 2020. 1 ed. Washington: ACM/SIGMM; 2020. p. 9-18. |
2019 (11)Gamonal FP, Ballester C, Haro G, Meinhardt-Llopis E, Palomares RP. An analysis and speedup of the FALDOI method for Optical Flow estimation. Image Processing On Line 2019; 9( ): 94-123. |
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Vitoria P, Ballester C. Automatic Flare Spot Artifacts Detection and Removal in Photographs. Journal of Mathematical Imaging and Vision 2019; 61(4): 515-533. |
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Garamendi JF, Lazcano V, Ballester C. Joint TV-L1 Optical Flow and Occlusion Estimation. Image Processing On Line 2019; 9( ): 432-452. |
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Victoria P, Sintes J, Ballester C. Semantic Image Completion Through an Adversarial Strategy. Communications in Computer and Information Science 2019; 1182( ): 520-542. |
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Arbués-Sangüesa A, Ballester C, Haro G. Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion. International Journal of Computer and Information Engineering 2019; 13(7): 414-422. |
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Vitoria P, Raad L, Ballester C. ChromaGAN: An Adversarial Approach for Picture Colorization. In: AA. VV.. Deep Learning Barcelona Symposium 2019. 1 ed. 2019. p. 1-10. |
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Vitoria P, Sintes J, Ballester C. Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks. In: Tremeau A, Farinella GM, Braz J. Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2019). 1 ed. SCITEPRESS; 2019. p. 249-266. |
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Arbués-Sangüesa A Ballester C, Haro G. Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion. In: Jane Courtney, Catherine Deegan, Paul Leamy.. Proceedings of the 21st Irish Machine Vision and Image Processing conference (IMVIP 2019). 1 ed. Dublin: Irish Pattern Recognition and Classication Society (iprcs.org); 2019. p. 1-9. |
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Arbués-Sangüesa A, Haro G, Ballester C. Multi-Person tracking by multi-scale detection in Basketball scenarios. In: Jane Courtney, Catherine Deegan, Paul Leamy.. Proceedings of the 21st Irish Machine Vision and Image Processing conference (IMVIP 2019). 1 ed. Dublin: Irish Pattern Recognition and Classication Society (iprcs.org); 2019. p. 1-8. |
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Lazcano V, Calderero F, Ballester C. Interpolation in Manifolds and Applications to Depth Interpolation in Images and Video. In: Sirakov B, Ney de Souza P, Viana M (eds.). Proceedings of the International Congress of Mathematicians (ICM 2018). 1 ed. Rio de Janeiro: WSPC.COM; 2019. |
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Vitoria P, Ballester C. Generative Peer-to-peer Face Hallucination (poster presentation). In: Amerini I,Balashova E, Ebrahimi S, Leonard K, Nagrani A, Salvador A (eds.). Proceedings WiCV 2019: The Sixth Women In Computer Vision Workshop. 1 ed. Long Beach ( California): IEEE/CVF (Computer Vision Foundation); 2019. |
2018 (5)Fedorov V, Ballester C. An Affine Invariant Patch Similarity. Image Processing On Line 2018; 8( ): 490-513. |
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Ballester C, Arias P, Coll B, Mazón-Ruiz JM, Provenzi E. L'aportació de Vicent Caselles al món de les matemàtiques i l'aplicació al processament d'imatges. Butlletí de la Societat Catalana de Matemàtiques 2018; 33(1): 5-41. |
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Oliver M, Raad L, Ballester C, Haro G. Motion Inpainting by an Image-Based Geodesic AMLE Method. In: Nikou C, Platanioti K (General chairs). 2018 25th IEEE International Conference on Image Processing (ICIP). 1 ed. Athens: IEEE Signal Processing Society; 2018. p. 2267-2271. |
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Oliver M, Haro G, Fedorov V, Ballester C. L1 Patch-Based Image Partitioning into Homogeneous Textured Regions. In: -. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. 2018. p. 1558-1562. |
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Lazcano V, Garrido L, Ballester C. Jointly Optical Flow and Occlusion Estimation for Images with Large Displacements.. In: Vanel Lazcano, Luis Garrido and Coloma Ballester. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2018). 1 ed. SCITEPRESS - Science and Technology Publications; 2018. p. 588-595. |
2017 (8)Federov V, Ballester C. Affine Non-local Means Image Denoising. IEEE Transactions on Image Processing 2017; 26(5): 2137-2148. |
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Palomares RP, Meinhardt E, Ballester C, Haro G. FALDOI: a new minimization strategy for large displacement variational optical flow. Journal of Mathematical Imaging and Vision 2017; 58(1): 27-46. |
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Rezaeirowshan B, Ballester C, Haro G. From occlusion to global depth order, a monocular approach. Communications in Computer and Information Science 2017; 693( ): 575-592. |
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Rezaeirowshan B, Ballester C, Haro G. From Occlusion to Global Depth Order, a Monocular Approach. In: Telea A, Richard P, Linsen L, Braz J, Battiato S, Magnenat-Thalmann N, Imai F. 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 1 ed. Springer, Cham; 2017. p. 575-592. |
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Fedorov V, Arias P, Facciolo G, Ballester C. Exemplar-based image inpainting using an affine invariant similarity measure. In: Telea A, Richard P, Linsen L, Braz J, Battiato S, Magnenat-Thalmann N, Imai F. 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 1 ed. Springer, Cham; 2017. p. 454-474. |
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Oliver M, Palomares RP, Ballester C, Haro G. Spatio-temporal binary video inpainting via threshold dynamics. In: AA.VV.. 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017. 1 ed. IEEE; 2017. p. 1822-1826. |
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Vitoria P, Fedorov V, Ballester C. Spatio-temporal tube segmentation through a video metrics-based patch similarity measure. In: McDonald, John and Markham, Charles and Winstanley, Adam C. Irish Machine Vision and Image Processing Conference Proceedings 2017. 1 ed. Irish Pattern Recognition & Classification Society; 2017. p. 147-154. |
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Palomares RP, Haro G, Ballester C. Joint large displacement scene flow and occlusion variational estimation. In: Imai F, Tremeau A, Braz J (eds.). Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 1 ed. Lisboa: 2017. p. 172-180. |
2016 (6)Oliver M, Haro G, Dimiccoli M, Mazin B, Ballester C. A Computational Model for Amodal Completion. Journal of Mathematical Imaging and Vision 2016; 56(3): 511-534. |
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Palomares RP, Meinhardt-Llopis E, Ballester C, Haro G. How to improve local optima of optical flow energies using discrete matches. In: AA. VV.. 3rd Annual Catalan Meeting on Computer Vision (ACMCV'16). 1 ed. UPC University. Computer Vision Center; 2016. p. 1-23. |
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Oliver M, Haro G, Dimiccoli M, Baptiste M, Ballester C. On the most preferred scene structure of an image. In: AA. VV.. 3rd Annual Catalan Meeting on Computer Vision (ACMCV'16). 1 ed. UPC University. Computer Vision Center; 2016. |
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Fedorov V, Facciolo G, Ballester C. Affine Invariant Self-Similarity for Exemplar-Based Inpaiting. In: Magnenat-Thalmann N, Richard P, Linsen L, Telea A, Battiato S, Imai F, Braz J. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 1 ed. 2016. p. 48-58. |
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Rezaeirowshan B, Ballester C, Haro G. Monocular depth ordering using perceptual occlusion cues. In: Magnenat-Thalmann N, Richard P, Linsen L, Telea A, Battiato S, Imai F, Braz J. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 1 ed. 2016. p. 431-441. |
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Palomares RP, Haro G, Ballester C, Meinhardt-Llopis E. FALDOI: Large Displacement Optical Flow by Astute Initialization. arXiv preprint arXiv:1602.08960; 2016. |
2015 (5)Palomares R, Haro G, Ballester C. A rotation-invariant regularization term for optical flow related problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2015; 9007( ): 304-319. |
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Fedorov V, Arias P, Sadek R, Facciolo G, Ballester C. Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics. SIAM Journal on Imaging Sciences 2015; 8(3): 2021-2069. |
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Chatillon P, Ballester C. History-based anomaly detector: an adversarial approach to anomaly detection. In: Shakhovska N. Advances in Intelligent Systems and Computing. 1 ed. 2015. p. 761-776. |
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Palomares RP, Haro G, Ballester C. A Rotation-Invariant Regularization Term for Optical Flow Related Problems. In: Cremers D, Reid I, Saito H, Yang MH. Proceedings 12th Asian Conference on Computer Vision (ACCV 2014). 1 ed. Singapur: Springer; 2015. p. 304-319. |
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Oliver M, Haro G, Dimiccoli M, Mazin B, Ballester C. A Computational Model for Amodal Completion. arXiv preprint:1511.08418; 2015. |
2014 (1)Ballester C, Calderero F, Caselles V, Facciolo G. Multiscale Analysis of Similarities between Images on Riemannian Manifolds. Multiscale Modeling & Simulation 2014; 12(2): 616-649. |
2013 (2)Ballester C, Calderero F, Caselles V, Facciolo G. Multiscale analysis of similarities between images on Riemannian manifolds. 2013. |
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Facciolo G, Calderero F, Ballester C, Caselles V. Multiscale analysis of similarities between images on Riemannian manifolds. Part II.. Preprint, 2013; 2013. |
2012 (3)Ballester C, Garrido L, Lazcano V, Caselles V. A TV-L1 Optical Flow Method with Occlusion Detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012; 7476( ): 31-40. |
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Sadek R, Constantinopoulos C, Meinhardt E, Ballester C, Caselles V. On Affine Invariant Descriptors Related to SIFT. SIAM Journal on Imaging Sciences 2012; 5(2): 652-687. |
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Sadek R, Ballester C, Garrido L, Meinhardt E, Caselles V. Frame Interpolation with Occlusion Detection using a Time Coherent Segmentation. In: Csurka, Gabriela Braz, José. (VISAPP 2012) Proceedings of the International Conference on Computer Vision Theory and Applications (Volume 2). 1 ed. Roma: SciTePress; 2012. p. 367-372. |
2008 (1)Almansa A, Ballester C, Caselles V, Haro G. A TV Based Restoration Model with Local Constraints. Journal of Scientific Computing 2008; 34(3): 209-236. |
2007 (2)Ballester C, Bertalmío M, Caselles V, Garrido L, Marques A, Ranchin F. An Inpainting-based deinterlacing method. IEEE Transactions on Image Processing 2007; 16(10): 2476-2491. |
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Ballester C, Caselles V, Igual L, Garrido L. Level Lines Selection with Variational Models for Segmentation and Encoding. Journal of Mathematical Imaging and Vision 2007; 27(1): 5-27. |
2006 (3)Ballester C, Caselles V, Igual L, Verdera J, Rougé B. A Variational Model for P+XS Image Fusion. International Journal of Computer Vision 2006; 69(1): 43-58. |
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Ballester C, Castelles V, Verdera J. Disocclusion by Joint Interpolation of Vector Fields and Gray Levels. Multiscale Modeling & Simulation 2006; 2(1): 80-123. |
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Ballester C, Caselles V, Sapiro G, Solé A. Morse Description and Morphological Encoding of Continuous Data. Multiscale Modeling & Simulation 2006; 2(2): 179-209. |
2003 (3)Ballester C, Caselles V, Rougé B, Verdera J. A geometric fusion method for P+XS images: Une méthode géométrique de fusion pour des images P+XS. Société Française de Photogrammétrie et de Télédétection Bulletin 2003; 169(169): 53-63. |
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Ballester C, Caselles V, Monasse P. The tree of shapes of an image. ESAIM: Control, Optimization and Calculus of Variations 2003; 9( ): 1-18. |
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Ballester C, Caselles V, Verdera J. A Variational Model for Disocclusion. In: IEEE Signal Processing Society; Institute of Electrical and Electronics Engineers. 2003 International Conference on Image Processing: ICIP 2003, September 14-17, 2003, Barcelona, Spain: proceedings. 1 ed. New Jersey, Piscataway: Institute of Electrical and Electronics Engineers; 2003. p. 677-680. |
2001 (7)Ballester, C.; Bertalmío, M.; Caselles, V.; Sapiro, G.; Verdera, J.. Filling-In by joint interpolation of vector fields and grey level. IEEE Transactions on Image Processing 2001; 10(8): 1200-1211. |
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Caselles V, Ballester C, Andreu F, Mazon JM. Minimizing Total Variation Flow. Differential and Integral Equations 2001; 14(3): 321-360. |
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Andreu F, Ballester C, Caselles V, Mazon JM. The dirichlet problem for the minimizing total variation flow. Journal of Functional Analysis 2001; 180(2): 347-403. |
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Ballester C, Caselles V, Rougé B, Verdera J. Une méthode géométrique de fusion pour des images P+XS. Société Française de Photogrammétrie et de Télédétection Bulletin 2001; 169( ): 53-64. |
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Ballester C, Caselles V. The M-Components of Level Sets of Continuous Functions in WBV. Publications mathématiques 2001; 45(2): 477-527. |
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Ballester C, Bertalmío M, Caselles V, Sapiro G, Verdera J. A Variational Model for Filling-In. In: -. Congreso Español en Informática Gráfica, Proceedings. 1 ed. 2001. |
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Ballester C, Caselles V, Verdera J, Bertalmio M. A Variational model for filling-in gray level and color images. In: IEEE Computer Society. Proceedings, Eighth IEEE International Conference on Computer Vision July 7-14, 2001. 1 ed. IEEE Computer Society; 2001. |
2000 (3)Andreu, F.; Ballester Nicolau, C.; Caselles, V.; Mazón, J.M.. Minimizing Total Variation Flow. Comptes rendus de l'Académie des sciences. Série 1, Mathématique 2000; 311(11): 867-872. |
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Ballester, C.; Cubero-Castan, E.; Gonzalez, M.; Morel, J.M.. Contrast Invariant Satellite Image Intersection. In: -. Advanced mathematical methods in measurement and instrumentation 1 ed. Progetto Leonardo; 2000. p. 1-14. |
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Bertalmio MJ, Sapiro G, Ballester C, Caselles V. Image Inpainting. In: AA.VV.. SIGGRAPH'00 Proceedings of the 27th annual conference on Computer graphics and interactive techniques. 1 ed. Nova York: ACM Press/Addison-Wesley Publishing Co.; 2000. p. 417-424. |
1999 (1)Andreu F, Ballester C, Caselles V, Mazón JM. A Nonlinear Parabolic Equation Arising in Image Processing. In: AA.VV.. Multiresolution, Computer Vision and PDE's. 1 ed. Oxford: Foundations of Computation Mathematics; 1999. p. 1-1. |
1998 (6)Ballester C, Gonzalez M. Affine Invariant Texture Segmentation and Shape from Texture by Variational Methods. Journal of Mathematical Imaging and Vision 1998; 9(2): 141-171. |
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Caselles V, Ballester C, González M. Lower Semicontinuity of the Affine Total Variation Used in Image Segmentation. Revista de la Unión Matemática Argentina 1998; 41(1): 41-60. |
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Ballester C, Cubero-Castan E, Gonzalez M, Morel JM. Image intersection and applications to satellite imaging. In: AA. VV.. C.M.L.A 1998. 1 ed. Ecole Normale Supérieure de Cachan; 1998. |
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Ballester C, Cubero-Castan E, Gonzalez M, Morel JM. Image intersection and applications to satellite imaging. C.M.L.A., No. 9817; 1998. |
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Ballester C, Cubero-Castan E, Gonzalez M, Morel JM. Contrast Invariant Image Intersection. 1998. |
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Ballester C, Cubero-Castan E, Gonzalez M, Morel JM. Image intersection and applications to satellite imaging. Report C.M.L.A., No. 9817, Ecole Normale Supérieure de Cachan; 1998. |
1996 (2)Ballester C, Caselles V, González M. Affine Invariant Segmentation by Variational Methods. SIAM Journal on Applied Mathematics 1996; 56(1): 294-325. |
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Ballester C, González M. Texture Segmentation by Variational Methods. In: Berger, M.O. (ed.). ICAOS' 96 12th International Conference on Analysis and Optimization of Systems: Images, Wavelets and PDE' s: París June 26-28 1996. 1 ed. Londres: Springer; 1996. p. 187-193. |
1995 (2)Ballester C, Caselles V, González M. Texture Discrimination by Variational Methods. In: Calvo Cuenca, A.; Medina Carnicer, R. (eds.). Pattern Recongnition and Image Analysis: Preprints of the VI Spanish Symposium on Pattern Recognition and Image Analysis (University of Córdoba, 3-7 april 1995). 1 ed. Còrdova: Asociación Españóla de Reconocimiento de Formas y Análisis de Imágenes; 1995. p. 251-306. |
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Ballester C, Caselles V, González M. Affine Invariant Segmentation by Variational Methods. In: Calvo Cuenca, A.; Medina Carnicer, R. (eds.). Pattern Recongnition and Image Analysis: Preprints of the VI Spanish Symposium on Pattern Recognition and Image Analysis (University of Córdoba, 3-7 april 1995). 1 ed. Còrdova: Asociación Españóla de Reconocimiento de Formas y Análisis de Imágenes; 1995. p. 1-1. |
1994 (1)Caselles V, Ballester C, González M. Affine Invariant Segmentation by Variation Methods. In: AA.VV.. RFIA'94. Neuvième Congrès Reconnaissance des Formes et Intelligence Artificielle (Paris 11-14 Janvier 1994) Special Mention. 1 ed. París: AFCET; 1994. p. 1-1. |
1993 (1)Caselles V, Ballester C, González M. Affine Invariant Segmentation by Variational Methods. In: AA.VV.. Eighth Workshop on Image and Multidimensional Signal Processing (IEEE Signal Processing Society Cannes, September 1993). 1 ed. Cannes: IEEE Signal Processing Society; 1993. p. 220-221. |