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2025 (4)

Phillips A.; Grandes Rodriguez D.; Sanchez-Manzano M.; Salvado A.; Garin M.; Haro G.; Ballester C.. Visual Motif Identification: Elaboration of a Curated Comparative Dataset and Classification Methods. Lecture Notes in Computer Science 2025; 15628: 345-361.

Phillips A.; Grandes Rodríguez D.; Sánchez-Manzano M.; Salvadó-Romero A.; Garin M.; Haro G.; Ballester C. Visual Motif Identification: Elaboration of a Curated Comparative Dataset and Classification Methods. In: Del Bue A; Canton C; Pont-Tuset J; Tommasi T (eds.). Computer Vision - ECCV 2024 Workshops. . : Springer; 2025. p. 345-361.

Sanchez M.; Triginer G.; Ballester C.; Sarasua I.; Raad L.. A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting on Edge Devices. In: -. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). . Tucson: IEEE; 2025. p. 1133-1143.

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. . : Cambridge University Press; 2025.

2024 (2)

Diaz-Juan A, Ballester C, Haro G. SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization. In: -. -. . : -; 2024. p. 121-130.

Cartas A, Ballester C, Haro G. Two Weakly Supervised Approaches for Role Classification of Soccer Players. In: AA.VV.. MMSports '24: Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports. . : ACM Digital Library; 2024. p. 81-89.

2023 (5)

Guerrero-Solé F, Ballester C. El impacto de la inteligencia artificial generativa en la disciplina de la comunicación The impact of Generative Artificial Intelligence on the discipline of communication. Hipertext.net 2023; (26): 1-9.

Sanchez M, Triginer G, Ballester C, Raad L, Ramon E. Photorealistic Facial Wrinkles Removal. Lecture Notes in Computer Science 2023; 13848 LNCS(0): 117-133.

Ballester C, Carrillo H, Clement M, Vitoria P. Analysis of Different Losses for Deep Learning Image Colorization. In: AA.VV.. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision. . : Springer-Verlag; 2023. p. 821-846.

Ballester C, Bugeau A, Hurault S, Parisotto S, Vitoria P. An Analysis of Generative Methods for Multiple Image Inpainting. In: AA.VV.. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision. . : Springer-Verlag; 2023. p. 773-820.

Sánchez M, Triginer G, Ballester C, Raad L, Ramon E. Photorealistic Facial Wrinkles Removal. In: Zheng Y, Yalim Kele H, Koniusz P (eds.). Proceedings of the Asian Conference on Computer Vision (ACCV 2022) Workshops. . Macao: Cham: Springer Nature Switzerland; 2023. p. 117-133.

2022 (5)

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.

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. . : Association for Computing Machinery; 2022. p. 93-102.

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.

Ballester C, Bugeau A, Hurault S, Parisotto S, Vitoria P. An Analysis of Generative Methods for Multiple Image Inpainting. arXiv preprint:2205.02146v1; 2022.

Ballester C, Bugeau A, Carrillo H, Clément M, Giraud R, Raad L, Vitoria P. Influence of Color Spaces for Deep Learning Image Colorization. arXiv preprint: 2204.02850v1; 2022.

2021 (11)

Lazcano V, Calderero F, Ballester C. Comparing different metrics on an anisotropic depth completion model. Journal of Hybrid Intelligent Systems 2021; 17(3-4): 87-99.

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.

Arbues-Sanguesa A, Martin 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.

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. . : Springer; 2021. p. 1-31.

Ballester C, Bugeau A, Hurault S, Parisotto S, Vitoria P. An Analysis of Generative Methods for Multiple Image Inpainting. In: Chen K, Schönlieb CB, Tai XC, Younces L (eds.). Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. . : Springer; 2021. p. 1-48.

Ballester C, Carrillo H, Clément M, Vitoria P. 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. . : Springer; 2021. p. 1-26.

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). . Montreal: IJCAI; 2021. p. 1-8.

Chatillon P, Ballester C. History-Based Anomaly Detector: An Adversarial Approach to Anomaly Detection. In: Arai K, Kapoor S, Bhatia R. Intelligent Systems and Applications. Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1. . : Springer; 2021. p. 761-776.

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). . : 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.

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). . : Mach Team; 2021.

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 (11)

Arbues-Sanguesa A.; Martin A.; Fernandez J.; Rodriguez 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. Proceedings IEEE ICIP 2020; 2020-Octo(0): 1506-1510.

Chatillon P, Ballester C. History-Based Anomaly Detector: An Adversarial Approach to Anomaly Detection. Advances in Intelligent Systems and Computing 2020; 1250 AISC: 761-776.

Raad L, Oliver M, Ballester C, Haro G, Meinhardt E. On anisotropic optical flow inpainting algorithms. Image Processing On Line 2020; 10: 78-104.

Vitoria P.; Sintes J.; Ballester C.. Semantic Image Completion Through an Adversarial Strategy. Communications in Computer and Information Science 2020; 1182: 520-542.

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). . Seattle: The Institute of Electrical and Electronics Engineers (IEEE); 2020. p. 886-887.

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. . : ICIP; 2020. p. 1506-1510.

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). . : Springer; 2020. p. 593-604.

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). . : arXiv.org; 2020. p. 2445-2454.

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. . Washington: ACM/SIGMM; 2020. p. 9-18.

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. ArXiv; 2020.

Vitoria P, Raad L, Ballester C. ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution. ArXiv; 2020.

2019 (12)

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.

Vitoria P, Ballester C. Automatic Flare Spot Artifacts Detection and Removal in Photographs. Journal of Mathematical Imaging and Vision 2019; 61(4): 515-533.

Garamendi J, Lazcano V, Ballester C. Joint TV-L1 Optical Flow and Occlusion Estimation. Image Processing On Line 2019; 9: 432-452.

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.

Vitoria P, Raad L, Ballester C. ChromaGAN: An Adversarial Approach for Picture Colorization. In: AA. VV.. Deep Learning Barcelona Symposium 2019. . : ; 2019. p. 2445-2454.

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). . : SCITEPRESS; 2019. p. 249-260.

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). . Dublin: Irish Pattern Recognition and Classication Society (iprcs.org); 2019. p. 1-9.

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). . Dublin: Irish Pattern Recognition and Classication Society (iprcs.org); 2019. p. 1-8.

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). . Rio de Janeiro: WSPC.COM; 2019. . .

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. . Long Beach ( California): IEEE/CVF (Computer Vision Foundation); 2019. . .

Arbués-Sangüesa A, Haro G, Ballester C. Multi-Person tracking by multi-scale detection in Basketball scenarios. ArXiv; 2019.

Arbués-Sangüesa A, Ballester C, Haro G. Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion. ArXiv; 2019.

2018 (6)

Fedorov V, Ballester C. An Affine Invariant Patch Similarity. Image Processing On Line 2018; 8: 490-513.

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.

Oliver M, Haro G, Fedorov V, Ballester C.. L1 patch-based image partitioning into homogeneous textured regions. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2018; 2018-April(0): 1558-1562.

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). . Athens: IEEE Signal Processing Society; 2018. p. 2267-2271.

Oliver M, Haro G, Fedorov V, Ballester C. L1 Patch-Based Image Partitioning into Homogeneous Textured Regions. In: AA.VV.. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). . : IEEE; 2018. . .

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). . : SCITEPRESS - Science and Technology Publications; 2018. p. 588-595.

2017 (9)

Fedorov V.; Arias P.; Facciolo G.; Ballester C.. Exemplar-based image inpainting using an affine invariant similarity measure. Communications in Computer and Information Science 2017; 693(0): 454-474.

Fedorov V.; Ballester C.. Affine Non-local Means Image Denoising. IEEE Transactions on Image Processing 2017; 26(5): 2137-2148.

Palomares R.; Meinhardt-Llopis 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.

Oliver M.; Palomares R.; Ballester C.; Haro G.. Spatio-temporal binary video inpainting via threshold dynamics. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2017; 0(0): 1822-1826.

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. . : IEEE; 2017. p. 1822-1826.

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 (eds.). Computer Vision, Imaging and Computer Graphics Theory and Applications. 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 - 29, 2016, Revised Selected Papers. . : Springer Cham; 2017. p. 575-592.

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 (eds.). Computer Vision, Imaging and Computer Graphics Theory and Applications. 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 - 29, 2016, Revised Selected Papers. . : Springer Cham; 2017. p. 454-474.

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. . : Irish Pattern Recognition & Classification Society; 2017. p. 147-154.

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. . 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.

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). . : UPC University. Computer Vision Center; 2016. p. 1-23.

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). . : UPC University. Computer Vision Center; 2016. . .

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. . : ; 2016. p. 431-441.

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. . : ; 2016. p. 48-58.

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 2015; 9007: 304-319.

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.

Chatillon P, Ballester C. History-based anomaly detector: an adversarial approach to anomaly detection. In: Shakhovska N. Advances in Intelligent Systems and Computing. . : ; 2015. p. 761-776.

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). . Singapur: Springer; 2015. p. 304-319.

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 and 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.

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 2012; 7476: 31-40.

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.

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). . 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.; Bertalmio M.; Caselles V.; Garrido L.; Marques A.; Ranchin F.. An Inpainting-based deinterlacing method. IEEE Transactions on Image Processing 2007; 16(10): 2476-2491.

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 (1)

Ballester C.; Caselles V.; Igual L.; Verdera J.; Rouge B.. A Variational Model for P+XS Image Fusion. International Journal of Computer Vision 2006; 69(1): 43-58.

2004 (2)

Ballester C.; Caselles V.; Verdera J.. Disocclusion by Joint Interpolation of Vector Fields and Gray Levels. Multiscale Modeling and Simulation 2004; 2(1): 80-123.

Caselles V.; Sapiro G.; Sole A.; Ballester C.. Morse Description and Morphological Encoding of Continuous Data. Multiscale Modeling and Simulation 2004; 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. Bulletin - Societe Francaise de Photogrammetrie et de Teledetection 2003; 169(169): 53-63.

Ballester C.; Caselles V.; Monasse P.. The tree of shapes of an image. ESAIM: Control, Optimization and Calculus of Variations 2003; 9: 1-18.

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. . New Jersey, Piscataway: Institute of Electrical and Electronics Engineers; 2003. p. 677-680.

2002 (1)

Ballester C, Caselles V, Rouge B, Verdera J. A geometric fusion method for P+XS images Une methode geometrique de fusion pour des images P+XS. Bulletin - Societe Francaise de Photogrammetrie et de Teledetection 2002; 0(169): 53-63.

2001 (7)

Ballester C.; Bertalmio 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.

Andreu F.; Ballester C.; Caselles V.; Mazon J.. The dirichlet problem for the minimizing total variation flow. Journal of Functional Analysis 2001; 180(2): 347-403.

Caselles V, Ballester C, Andreu F, Mazon JM. Minimizing Total Variation Flow. Differential and Integral Equations 2001; 14(3): 321-360.

Ballester C, Caselles V, Rougé B, Verdera J. Une méthode géométrique de fusion pour des images P+XS. Bulletin - Societe Francaise de Photogrammetrie et de Teledetection 2001; 169: 53-64.

Ballester C, Caselles V. The M-Components of Level Sets of Continuous Functions in WBV. Publications mathématiques 2001; 45(2): 477-527.

Ballester C, Bertalmío M, Caselles V, Sapiro G, Verdera J. A Variational Model for Filling-In. In: -. Congreso Español en Informática Gráfica, Proceedings. . : ; 2001. . .

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. . : IEEE Computer Society; 2001. . .

2000 (3)

Andreu F.; Ballester C.; Caselles V.; Mazon J.. Minimizing Total Variation Flow. Comptes Rendus de l'Academie des Sciences - Series I: Mathematics 2000; 311(11): 867-872.