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Salvador J, Casas J. Image-adapted voxelization in multicamera settings. In International Workshop on Multimedia Signal Processing. 2006. pp. 161–165.

• Google Scholar
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Salembier P, Garrido L, García D. Image sequence analysis and merging algorithms. In International Workshop on Very Low Bit-rate Video, VLBV'97. Linköping, Sweden; 1997. pp. 1–8.

• Google Scholar
• BibTex

 (366.8 KB)

Rolón J, Salembier P, Alameda X. Image compression with generalized lifting and partial knowledge of the signal pdf. In IEEE International Conference on Image Processing, ICIP 2008. San Diego, USA; 2008. pp. 250–254.

• Google Scholar
• BibTex

 (830.94 KB)

Sayrol E, Gasull A. Image analysis using higher-order statistics and the random transfor. In WORKSHOP ON HIGHER-ORDER STATISTICS. 1993.

• Google Scholar
• BibTex

Sayrol E, Nikias C, Gasull A. Image analysis using higher-order statistics and the radon transfrom. In IEEE SIGNAL PROCESSING WORKSHOP ON HIGH-ORDER-STATISTICS. 1993. pp. 76–80.

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• BibTex

Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.

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Valero S, Salembier P, Chanussot J. Hyperspectral image segmentation using binary partition trees. In IEEE International Conference on Image Processing, ICIP 2011. Brussels, Belgium; 2011. pp. 1273–1276.

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 (669.46 KB)

Schürholt K, Knyazev B, Giró-i-Nieto X, Borth D. Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. In NeurIPS 2022 - Neural Information Processing Systems. 2022.

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• BibTex

 (4.6 MB)

Ramon E, Ruiz G, Batard T, Giró-i-Nieto X. Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. In ICCV 2019 Workshop on Geometry Meets Deep Learning. Seoul, South Corea: IEEE / Computer Vision Foundation; 2019.

• Google Scholar
• BibTex

 (749.7 KB)

Bonet D, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. HyperFast: Instant Classification for Tabular Data. In 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 2024.

• Google Scholar
• BibTex

 (3.15 MB)

Sanchez-Escobedo D, Lin X, Casas J, Pardàs M. HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018.

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 (1.14 MB)

Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.

• Google Scholar
• BibTex

Marqués F, Vilaplana V, Buxes A. Human face segmentation and tracking using connected components and partition projection. In 1999 IEEE INternational Conference on Image Processing. 1999.

• Google Scholar
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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.

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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.

• Google Scholar
• BibTex

 (5.94 MB)

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.

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• BibTex

Frias-Velazquez A, Morros JR. Histogram computation based on image bitwise decomposition. In ICIP 2009. 2009.

• DOI
• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

 (375.21 KB)

Palou G, Salembier P. Hierarchical Video Representation with Trajectory Binary Partition Tree. In Computer Vision and Pattern Recognition (CVPR). Portland, Oregon; 2013.

• Google Scholar
• BibTex

 (4.69 MB)

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.

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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.

• Google Scholar
• BibTex

 (182.34 KB)

Calderero F, Marqués F, Marcello J, Eugenio F. Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information. In 2009 IEEE International Geoscience and Remote Sensing Symposium. 2009. pp. 232–235.

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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.

• Google Scholar
• BibTex

Dimiccoli M, Salembier P. Hierarchical region-based representation for segmentation and filtering with depth in single images. In IEEE International Conference on Image Processing, ICIP 2009. Cairo, Egypt; 2009.

• Google Scholar
• BibTex

 (326.41 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.

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