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Conference Paper
Montes A, Salvador A, Pascual-deLaPuente S, Giró-i-Nieto X. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. In 1st NIPS Workshop on Large Scale Computer Vision Systems 2016. 2016.  (5.66 MB)
Lin X, Casas JR, Pardàs M. Time consistent estimation of End-effectors from RGB-D data. In Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers. Cham: Springer International Publishing; 2015. pp. 529-543.  (2.22 MB)
Pardàs M, Salembier P. Time-recursive segmentation of image sequences. In European Signal Processing Conference, EUSIPCO-94. Edinburgh, UK; 1994. pp. 18–21.  (806.06 KB)
Gudmundsson S, Pardàs M, Casas JR, Aanaes H, Larsen R. TOF Imaging in Smart Room Environments towards Improved People Tracking. In Computer Vision and Pattern Recognition: Workshop on Time of Flight based Computer Vision (CVPR/TOF-CV). 2008. pp. 1–6.
Canton-Ferrer C, Canton-Ferrer C, Casas JR, Pardàs M. Towards a bayesian approach to robust finding correspondences in multiple view geometry environments. In Workshop on Computer Graphics and Geometric Modelling. Intrernational Conference on Computational Science. 2005. pp. 281–289.  (823.11 KB)
Canton-Ferrer C, Casas JR, Pardàs M. Towards a low cost multi-camera marker based human motion capture system. In 16th International Conference on Image Processing. 2009. pp. 2581–2584.
Lems CM, Klubíčková N, Brattoli B, Lee T, Vilaplana V, Fernández PLuis, et al.. Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study. In United States & Canadian Academy of Pathology 114th Annual Meeting (USCAP 2025). Boston, USA: Laboratory Investigation, Volume 105, Issue 3, Supplement, 2025, 103609, ISSN 0023-6837; 2025.
Lems CM, Klubíčková N, Brattoli B, Lee T, Vilaplana V, Fernández PLuis, et al.. Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study. In United States & Canadian Academy of Pathology 114th Annual Meeting (USCAP 2025). Boston, USA: Laboratory Investigation, Volume 105, Issue 3, Supplement, 2025, 103609, ISSN 0023-6837; 2025.
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)
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.
Pina O, Dorca E, Vilaplana V. Unsupervised Domain Adaptation for Cell Detection Across Histopathological Stains. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025.  (601.11 KB)
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.
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.
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.
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)
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.
Canton-Ferrer C, Casas JR, 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)
Duarte A, Roldán F, Tubau M, Escur J, Pascual-deLaPuente S, Salvador A, et al.. Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. In ICASSP. Brighton, UK: IEEE; 2019.  (4.42 MB)
Pardàs M, Bonafonte A. Work in progress - Cooperative and competitive projects for engaging students in advanced ICT subjects. In 41st Annual Frontiers in Education Conference. 2011. pp. 1–3.
Journal Article
Pardàs M, Salembier P. 3d morphological segmentation and motion estimation for image sequences. Signal processing. 1994;38:31–43.
Barrabés M, Perera M, Novelle V, Moriano X, Giró-i-Nieto X, Mas-Montserrat D, et al.. Advances in Biomedical Missing Data Imputation: A Survey. IEEE Access. 2024;.

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