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Casas J, Hillion A, Roux C, Torres L, Gasull A. Fuzzy classification of Remote Sensing images: a pseudocolor representation of fuzzy partitions. In SPIE Neural and Stochastic Methods in Image and Signal Processing. San Diego, CA: SPIE; 1992.  (809.57 KB)
Casas J, Puig-Sitjes A, Puig-Folch P. Mutual feedback scheme for face detection and tracking aimed at density estimation in demonstrations. IEE Proceedings-Vision, Image and Signal Processing. 2005;152(3):334–346.
Casas J, Torres L. Strong edge features for image coding. In International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing III. 1996. pp. 443–450.
Casas J, Kompatsiaris I, Strintzis M. Advanced content-based semantic scene analysis and information retrieval: the Schema Project. In 4th European Workshop on Image Analysis for Multimedia Interactive Services_x000D_. 2003. pp. 43–45.
Casas J, Torres L. Diseño de filtros de imagen con funciones de transferencia. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 965–969.
Casas J, Esteban P, Moreno A, Carrera M. Morphological scheme for morphometric analysis of epidermal biopsy images. In International Symposium on Mathematical Morphology and its Applications to Image Processing II. Fontainebleau; 1994.
Casas J. Morphological Interpolation for Image Coding. In Images, Wavelets and PDEs. Berlin / Heidelberg: Springer; 1996. pp. 295–304.
Casas J, Torres L. A feature-based subband coding schene. In THE 1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH & SIGNAL PROCESSING. 1996. pp. 2357–2360.
Casas J. Codificacion run-length de imagenes de detalle. In VIII Simposium Nacional de la Unión Científica Internacional de Radio. 1993. pp. 349–399.
Casas J, Torres L. Morphological filter for lossless image subsampling. In IEEE International Conference on Image Processing'94. 1994. pp. 903–907.
Casas J, Torres L. Strong edge features for image coding. In: Schafer RW, Maragos P, Butt MA. Mathematical Morphology and its Applications to Image and Signal Processing. Boston: Springer; 1996. pp. 443–450.
Casas J, Salvador J. Image-based Multi-view Scene Analysis using 'Conexels'. In HCSNet Workshop on the Use of Vision in Human-Computer Interaction (VisHCI 2006). 2006. pp. 203–212.  (252 KB)
Casas J. Morphological Interpolation for Image Coding. In ICAOS '96: 12th International Conference on Analysis and Optimization of Systems Images, Wavelets and PDEs . Paris; 1996. pp. 295–304.
Casas J, Torres L. Coding of details in very low bit-rate video systems. IEEE transactions on circuits and systems for video technology. 1994;4(3):317–327.  (1.51 MB)
Caselles V, Donat R, Haro G. Flux-gradient and source-term balancing for certain high resolution shock-capturing schemes. Computers & Fluids. 2009;38(1):16 - 36.  (595.61 KB)
Caselles P. Integrating low-level motion cues in deep video saliency. McGuinness K, Giró-i-Nieto X. 2019.  (10.04 MB)
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.  (17.1 MB)
Castelló DRodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D. Casamitjana A, Vilaplana V. 2017.
Catà M, Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.
Catà M. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. Vilaplana V, Casamitjana A. 2016.  (4.52 MB)
Chang C. Hierarchical Partition-Based Representations of Motion-Coherent Regions For Video Object Segmentation. Pardàs M, Marqués F. Universitat Politècnica de Catalunya (UPC); 2007.
Chang C, Pardàs M, Marqués F. Trajectory tree as an object-oriented hierarchical representation for video. IEEE transactions on circuits and systems for video technology. 2009;19:547–560.
Chang C, Pardàs M, Marqués F. A Motion-based Binary Partition Tree approach to Video Object Segmentation. In IEEE International Conference on Image Processing. 2005. pp. 430–433.
Chertó M. EgoMon Gaze and Video Dataset for Visual Saliency Prediction. Gurrin C, Giró-i-Nieto X. 2016.  (1.48 MB)
Coll-Pol M. The Importance of Time in Visual Attention Models. McGuinness K, Giró-i-Nieto X. 2018.  (5.46 MB)

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