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Le N, Bredin H, Sargent G, India M, Lopez-Otero P, Barras C, et al.. Towards large scale multimedia indexing: A case study on person discovery in broadcast news. In International Workshop on Content-Based Multimedia Indexing - CBMI 2017. Firenze, Italy; 2017.  (831.12 KB)
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.
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Combalia M, Hueto F, Puig S, Malvehy J, Vilaplana V. Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. In CVPR 2020, ISIC Skin Image Analysis Workshop. 2020.
Landabaso J-L, Pardàs M. A Unified Framework for Consistent 2D/3D Foreground Object Detection. IEEE transactions on circuits and systems for video technology. 2008;18:1040–1051.
Landabaso J-L. A Unified Framework for Consistent 2D/3D Foreground Object Detection. Pardàs M. Universitat Politècnica de Catalunya (UPC); 2008.
Pina O, Vilaplana V. Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). 2024.
Bellot P, Salembier P, Pham NC, Meyer PE. Unsupervised GRN Ensemble. In Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302.
Abad A, Canton-Ferrer C, Segura C, Landabaso J-L, Macho D, Casas J, et al.. UPC Audio, Video and Multimodal Person Tracking Systems in the CLEAR Evaluation Campaign. In Lecture notes in computer science. Berlin / Heidelberg: Springer; 2007. pp. 93–104.
Abad A, Canton-Ferrer C, Canton-Ferrer C, Segura C, Landabaso J-L, Macho D, et al.. UPC Audio, Video and Multimodal Person Tracking Systems in the CLEAR Evaluation Campaign. In CLEAR'06 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships. 2006. pp. 93–104.
India M, Sagastiberri I, Palau P, Sayrol E, Morros JR, Hernando J. UPC Multimodal Speaker Diarization System for the 2018 Albayzin Challenge. In IberSpeech 2018. Barcelona; 2018.  (379.14 KB)
Pont-Tuset J, Marqués F. Upper-bound assessment of the spatial accuracy of hierarchical region-based image representations. In IEEE International Conference on Acoustics, Speech, and Signal Processing. 2012. pp. 865-868.
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Salembier P, Gu C, Pardàs M, Kunt M. Very low bit rate video coding using morphological segmentation and contour/texture motion compensation. In 12th International Conference on Pattern Recognition, ICPR 1994. Jerusalem, Israel; 1994.
Tort L. Video Clustering Using Camera Motion. Giró-i-Nieto X, le Rombaut M, Pellerin D. 2013.  (8.87 MB)
Pardàs M, Salembier P, Ayuso X, Martí E. Video coding method and corresponding coding and decoding systems. 1997.
Pardàs M. Video Object Segmentation introducing depth and motion information. In IEEE International Conference on Image Processing. 1998.
Morros JR, Marqués F, Pardàs M, Salembier P. Video sequence segmentation based on rate-distortion theory. In SPIE Visual Communication and Image Processing, VCIP'96. Orlando, Florida, USA: Proc. SPIE 2727, 1185; 1996.  (355.43 KB)
Arenas C. Video Understanding through the Disentanglement of Appearance and Motion. Giró-i-Nieto X, Campos V, Palacio S. 2018.  (1.06 MB)
Alcoverro M, Pardàs M. Visual hull reconstruction algorithms comparison: towards robustness to silhouette errors. In International Conference on Computer Vision Theory and Applications 2009. 2009. pp. 464–469.
Roldán F. Visual Question Answering 2.0. Giró-i-Nieto X, Masuda-Mora I, Pascual-deLaPuente S. 2017.  (2.59 MB)
Pan J. Visual Saliency Prediction using Deep learning Techniques. Giró-i-Nieto X. 2015.  (1.57 MB)
Canton-Ferrer C, Casas J, Pardàs M. Voxel based annealed particle filtering for markerless 3D articulated motion capture. In 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2009. 2009. pp. 1–4.
Puch S, Aduriz A, Casamitjana A, Vilaplana V, Gispert JD. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016.  (1.6 MB)

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