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Conference Paper
Marqués F, Gasull A, Vera V. Hierarchical image sequence model for segmentation: application to region-based sequence coding. In VISUAL COMMUNICATION AND IMAGE PROCESSING. 1994. pp. 554–563.
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016.  (877.51 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.
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.  (326.41 KB)
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.
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.
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)
Frias-Velazquez A, Morros JR. Histogram computation based on image bitwise decomposition. In ICIP 2009. 2009.
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.
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.
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.
Sanchez-Escobedo D, Lin X, Casas J, Pardàs M. HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018.  (1.14 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.  (749.7 KB)
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.  (669.46 KB)
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.
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.
Sayrol E, Gasull A. Image analysis using higher-order statistics and the random transfor. In WORKSHOP ON HIGHER-ORDER STATISTICS. 1993.
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.  (830.94 KB)
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.  (366.8 KB)
Salvador J, Casas J. Image-adapted voxelization in multicamera settings. In International Workshop on Multimedia Signal Processing. 2006. pp. 161–165.