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Conference Paper
Canton-Ferrer C, Casas JR, Pardàs M. Head Pose Detection based on Fusion of Multiple Viewpoint Information. In CLEAR'06 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships. 2006. pp. 305–310.
Pina O, Jimenez L, Dorca E, Vilaplana V. Hierarchical Cell-to-Patch Graphs for Context-Aware Cell Classification in Digital Pathology. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025.  (600.71 KB)
Dorea C, Pardàs M, Marqués F. Hierarchical partition-based representations for image sequences using trajectory merging criteria. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.
Landabaso J-L, Pardàs M. Hierarchical Representation of Scenes using Activity Information. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2005. pp. 677–680.
Garrido L, Marqués F, Pardàs M, Salembier P, Vilaplana V. A hierarchical technique for image sequence analysis. In Workshop on Image Analysis for Multimedia Application Services, WIAMIS'97. Louvain-la-Neuve, Belgium; 1997. pp. 13–20.  (182.34 KB)
Dorea C, Pardàs M, Marqués F. A hierarchical trajectory-based representation for video. In Fith International Workshop on Content-Based Multimedia Indexing. 2007. pp. 275–282.
Palou G, Salembier P. Hierarchical Video Representation with Trajectory Binary Partition Tree. In Computer Vision and Pattern Recognition (CVPR). Portland, Oregon; 2013.  (4.69 MB)
Salembier P, O'Connor N, Correia P, Pereira F. Hierarchical visual description schemes for still images and video sequences. In 1999 IEEE International Conference on Image Processing, ICIP 1999. Kobe, Japan; 1999.  (375.21 KB)
Landabaso J-L, Pardàs M, Bonafonte A. HMM recognition of expressions in unrestrained video intervals. In International conference on Acoustics, Speech, and Signal Processing. 2003. pp. 197–200.
Duarte A, Palaskar S, Ventura L, Ghadiyaram D, DeHaan K, Metze F, et al.. How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language. In CVPR 2021. 2021.  (5.94 MB)
Turkan M, Pardàs M, Cetin E. Human eye localization using edge projections. In International Conference on Computer Vision Theory and Applications, VISAPP 2007. 2007. pp. 410–415.
Canton-Ferrer C, Canton-Ferrer C, Casas JR, Pardàs M. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.  (568.01 KB)
Sanchez-Escobedo D, Lin X, Casas JR, Pardàs M. HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018.  (1.14 MB)
Bragos R, Pegueroles J, Alarcón E, Camps A, Sardà J, Consolacion C, et al.. Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees. In II Conferencia Internacional en Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería. 2011. pp. 1–4.
Bragos R, Pegueroles J, Alarcón E, Camps A, Sardà J, Consolacion C, et al.. Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees. In II Conferencia Internacional en Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería. 2011. pp. 1–4.
Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, Podlipnik S, et al.. Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence. In 10th World Congress of2 Melanoma / 17th EADO Congress. 2021.
Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, Podlipnik S, et al.. Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence. In 10th World Congress of2 Melanoma / 17th EADO Congress. 2021.
Casanova A, Pujol-Miró A, Ruiz-Hidalgo J, Casas JR. Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016.  (2.04 MB)
Marqués F, Bouchard L, Corset I, Jeannin S, Morros JR, Pardàs M, et al.. Interleaved segmentation and motion estimation by means of morphological tools. In Workshop on Image Analysis and Synthesis in Image Coding. Berlin, Germany; 1994.
Hernandez C, Pachón-García C, Delicado P, Vilaplana V. Interpreting Machine Learning models for Survival Analysis: A study of Cutaneous Melanoma using the SEER Database. In XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). Portoroz, Slovenia; 2023.
Gallego J, Salvador J, Casas JR, Pardàs M. Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop. In IEEE International Conference on Image Processing. 2011. pp. 997–1000.
Pardàs M, Salembier P. Joint region and motion estimation with morphological tools. In International Symposium on Mathematical Morphology, ISMM 1994. Fontainebleau, France; 1994.
Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
Petrone P, Vilaplana V, Casamitjana A, Tucholka A, Falcon C, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
Morros JR, Vilaplana V, Ruiz-Hidalgo J, Casas JR, Gasull A, Marqués F, et al.. Materials transversals per a l'aprenentatge actiu de les matèries de processat d'imatge i vídeo. In Congrés Internacional de Docència Universitària i Innovació (CIDUI). Tarragona, Spain; 2014.  (853.76 KB)

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